---
_id: '50458'
abstract:
- lang: eng
text: AbstractConsider a set of jobs connected
to a directed acyclic task graph with a fixed source and sink. The edges of this
graph model precedence constraints and the jobs have to be scheduled with respect
to those. We introduce the server cloud scheduling problem, in which the jobs
have to be processed either on a single local machine or on one of infinitely
many cloud machines. For each job, processing times both on the server and in
the cloud are given. Furthermore, for each edge in the task graph, a communication
delay is included in the input and has to be taken into account if one of the
two jobs is scheduled on the server and the other in the cloud. The server processes
jobs sequentially, whereas the cloud can serve as many as needed in parallel,
but induces costs. We consider both makespan and cost minimization. The main results
are an FPTAS for the makespan objective for graphs with a constant source and
sink dividing cut and strong hardness for the case with unit processing times
and delays.
author:
- first_name: Marten
full_name: Maack, Marten
id: '88252'
last_name: Maack
- first_name: Friedhelm
full_name: Meyer auf der Heide, Friedhelm
id: '15523'
last_name: Meyer auf der Heide
- first_name: Simon
full_name: Pukrop, Simon
id: '44428'
last_name: Pukrop
citation:
ama: Maack M, Meyer auf der Heide F, Pukrop S. Server Cloud Scheduling. Algorithmica.
Published online 2023. doi:10.1007/s00453-023-01189-x
apa: Maack, M., Meyer auf der Heide, F., & Pukrop, S. (2023). Server Cloud Scheduling.
Algorithmica. https://doi.org/10.1007/s00453-023-01189-x
bibtex: '@article{Maack_Meyer auf der Heide_Pukrop_2023, title={Server Cloud Scheduling},
DOI={10.1007/s00453-023-01189-x},
journal={Algorithmica}, publisher={Springer Science and Business Media LLC}, author={Maack,
Marten and Meyer auf der Heide, Friedhelm and Pukrop, Simon}, year={2023} }'
chicago: Maack, Marten, Friedhelm Meyer auf der Heide, and Simon Pukrop. “Server
Cloud Scheduling.” Algorithmica, 2023. https://doi.org/10.1007/s00453-023-01189-x.
ieee: 'M. Maack, F. Meyer auf der Heide, and S. Pukrop, “Server Cloud Scheduling,”
Algorithmica, 2023, doi: 10.1007/s00453-023-01189-x.'
mla: Maack, Marten, et al. “Server Cloud Scheduling.” Algorithmica, Springer
Science and Business Media LLC, 2023, doi:10.1007/s00453-023-01189-x.
short: M. Maack, F. Meyer auf der Heide, S. Pukrop, Algorithmica (2023).
date_created: 2024-01-11T11:10:53Z
date_updated: 2024-01-11T11:19:33Z
department:
- _id: '63'
doi: 10.1007/s00453-023-01189-x
extern: '1'
keyword:
- Applied Mathematics
- Computer Science Applications
- General Computer Science
language:
- iso: eng
project:
- _id: '1'
grant_number: '160364472'
name: 'SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen
in dynamischen Märkten '
- _id: '4'
name: 'SFB 901 - C: SFB 901 - Project Area C'
- _id: '16'
grant_number: '160364472'
name: 'SFB 901 - C4: SFB 901 - On-The-Fly Compute Centers II: Ausführung komponierter
Dienste in konfigurierbaren Rechenzentren (Subproject C4)'
publication: Algorithmica
publication_identifier:
issn:
- 0178-4617
- 1432-0541
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: Server Cloud Scheduling
type: journal_article
user_id: '44428'
year: '2023'
...
---
_id: '50460'
author:
- first_name: Max A.
full_name: Deppert, Max A.
last_name: Deppert
- first_name: Klaus
full_name: Jansen, Klaus
last_name: Jansen
- first_name: Marten
full_name: Maack, Marten
id: '88252'
last_name: Maack
- first_name: Simon
full_name: Pukrop, Simon
id: '44428'
last_name: Pukrop
- first_name: Malin
full_name: Rau, Malin
last_name: Rau
citation:
ama: 'Deppert MA, Jansen K, Maack M, Pukrop S, Rau M. Scheduling with Many Shared
Resources. In: 2023 IEEE International Parallel and Distributed Processing
Symposium (IPDPS). IEEE; 2023. doi:10.1109/ipdps54959.2023.00049'
apa: Deppert, M. A., Jansen, K., Maack, M., Pukrop, S., & Rau, M. (2023). Scheduling
with Many Shared Resources. 2023 IEEE International Parallel and Distributed
Processing Symposium (IPDPS). https://doi.org/10.1109/ipdps54959.2023.00049
bibtex: '@inproceedings{Deppert_Jansen_Maack_Pukrop_Rau_2023, title={Scheduling
with Many Shared Resources}, DOI={10.1109/ipdps54959.2023.00049},
booktitle={2023 IEEE International Parallel and Distributed Processing Symposium
(IPDPS)}, publisher={IEEE}, author={Deppert, Max A. and Jansen, Klaus and Maack,
Marten and Pukrop, Simon and Rau, Malin}, year={2023} }'
chicago: Deppert, Max A., Klaus Jansen, Marten Maack, Simon Pukrop, and Malin Rau.
“Scheduling with Many Shared Resources.” In 2023 IEEE International Parallel
and Distributed Processing Symposium (IPDPS). IEEE, 2023. https://doi.org/10.1109/ipdps54959.2023.00049.
ieee: 'M. A. Deppert, K. Jansen, M. Maack, S. Pukrop, and M. Rau, “Scheduling with
Many Shared Resources,” 2023, doi: 10.1109/ipdps54959.2023.00049.'
mla: Deppert, Max A., et al. “Scheduling with Many Shared Resources.” 2023 IEEE
International Parallel and Distributed Processing Symposium (IPDPS), IEEE,
2023, doi:10.1109/ipdps54959.2023.00049.
short: 'M.A. Deppert, K. Jansen, M. Maack, S. Pukrop, M. Rau, in: 2023 IEEE International
Parallel and Distributed Processing Symposium (IPDPS), IEEE, 2023.'
date_created: 2024-01-11T11:30:14Z
date_updated: 2024-01-11T11:31:11Z
department:
- _id: '63'
doi: 10.1109/ipdps54959.2023.00049
language:
- iso: eng
project:
- _id: '1'
grant_number: '160364472'
name: 'SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen
in dynamischen Märkten '
- _id: '4'
name: 'SFB 901 - C: SFB 901 - Project Area C'
- _id: '16'
grant_number: '160364472'
name: 'SFB 901 - C4: SFB 901 - On-The-Fly Compute Centers II: Ausführung komponierter
Dienste in konfigurierbaren Rechenzentren (Subproject C4)'
publication: 2023 IEEE International Parallel and Distributed Processing Symposium
(IPDPS)
publication_status: published
publisher: IEEE
status: public
title: Scheduling with Many Shared Resources
type: conference
user_id: '44428'
year: '2023'
...
---
_id: '43439'
abstract:
- lang: eng
text: "This preprint makes the claim of having computed the $9^{th}$ Dedekind\r\nNumber.
This was done by building an efficient FPGA Accelerator for the core\r\noperation
of the process, and parallelizing it on the Noctua 2 Supercluster at\r\nPaderborn
University. The resulting value is\r\n286386577668298411128469151667598498812366.
This value can be verified in two\r\nsteps. We have made the data file containing
the 490M results available, each\r\nof which can be verified separately on CPU,
and the whole file sums to our\r\nproposed value."
author:
- first_name: Lennart
full_name: Van Hirtum, Lennart
last_name: Van Hirtum
- first_name: Patrick
full_name: De Causmaecker, Patrick
last_name: De Causmaecker
- first_name: Jens
full_name: Goemaere, Jens
last_name: Goemaere
- first_name: Tobias
full_name: Kenter, Tobias
id: '3145'
last_name: Kenter
- first_name: Heinrich
full_name: Riebler, Heinrich
id: '8961'
last_name: Riebler
- first_name: Michael
full_name: Lass, Michael
id: '24135'
last_name: Lass
orcid: 0000-0002-5708-7632
- first_name: Christian
full_name: Plessl, Christian
id: '16153'
last_name: Plessl
orcid: 0000-0001-5728-9982
citation:
ama: Van Hirtum L, De Causmaecker P, Goemaere J, et al. A computation of D(9) using
FPGA Supercomputing. arXiv:230403039. Published online 2023.
apa: Van Hirtum, L., De Causmaecker, P., Goemaere, J., Kenter, T., Riebler, H.,
Lass, M., & Plessl, C. (2023). A computation of D(9) using FPGA Supercomputing.
In arXiv:2304.03039.
bibtex: '@article{Van Hirtum_De Causmaecker_Goemaere_Kenter_Riebler_Lass_Plessl_2023,
title={A computation of D(9) using FPGA Supercomputing}, journal={arXiv:2304.03039},
author={Van Hirtum, Lennart and De Causmaecker, Patrick and Goemaere, Jens and
Kenter, Tobias and Riebler, Heinrich and Lass, Michael and Plessl, Christian},
year={2023} }'
chicago: Van Hirtum, Lennart, Patrick De Causmaecker, Jens Goemaere, Tobias Kenter,
Heinrich Riebler, Michael Lass, and Christian Plessl. “A Computation of D(9) Using
FPGA Supercomputing.” ArXiv:2304.03039, 2023.
ieee: L. Van Hirtum et al., “A computation of D(9) using FPGA Supercomputing,”
arXiv:2304.03039. 2023.
mla: Van Hirtum, Lennart, et al. “A Computation of D(9) Using FPGA Supercomputing.”
ArXiv:2304.03039, 2023.
short: L. Van Hirtum, P. De Causmaecker, J. Goemaere, T. Kenter, H. Riebler, M.
Lass, C. Plessl, ArXiv:2304.03039 (2023).
date_created: 2023-04-08T11:05:29Z
date_updated: 2024-01-22T09:56:42Z
department:
- _id: '27'
- _id: '518'
external_id:
arxiv:
- '2304.03039'
language:
- iso: eng
project:
- _id: '52'
name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing'
publication: arXiv:2304.03039
status: public
title: A computation of D(9) using FPGA Supercomputing
type: preprint
user_id: '3145'
year: '2023'
...
---
_id: '51159'
abstract:
- lang: eng
text: Sparsity is a highly desired feature in deep neural networks (DNNs) since
it ensures numerical efficiency, improves the interpretability of models (due
to the smaller number of relevant features), and robustness. In machine learning
approaches based on linear models, it is well known that there exists a connecting
path between the sparsest solution in terms of the $\ell^1$ norm,i.e., zero weights
and the non-regularized solution, which is called the regularization path. Very
recently, there was a first attempt to extend the concept of regularization paths
to DNNs by means of treating the empirical loss and sparsity ($\ell^1$ norm) as
two conflicting criteria and solving the resulting multiobjective optimization
problem. However, due to the non-smoothness of the $\ell^1$ norm and the high
number of parameters, this approach is not very efficient from a computational
perspective. To overcome this limitation, we present an algorithm that allows
for the approximation of the entire Pareto front for the above-mentioned objectives
in a very efficient manner. We present numerical examples using both deterministic
and stochastic gradients. We furthermore demonstrate that knowledge of the regularization
path allows for a well-generalizing network parametrization.
author:
- first_name: Augustina Chidinma
full_name: Amakor, Augustina Chidinma
id: '97916'
last_name: Amakor
- first_name: Konstantin
full_name: Sonntag, Konstantin
id: '56399'
last_name: Sonntag
- first_name: Sebastian
full_name: Peitz, Sebastian
id: '47427'
last_name: Peitz
orcid: 0000-0002-3389-793X
citation:
ama: Amakor AC, Sonntag K, Peitz S. A multiobjective continuation method to compute
the regularization path of deep neural networks. arXiv. Published online
2023.
apa: Amakor, A. C., Sonntag, K., & Peitz, S. (2023). A multiobjective continuation
method to compute the regularization path of deep neural networks. In arXiv.
bibtex: '@article{Amakor_Sonntag_Peitz_2023, title={A multiobjective continuation
method to compute the regularization path of deep neural networks}, journal={arXiv},
author={Amakor, Augustina Chidinma and Sonntag, Konstantin and Peitz, Sebastian},
year={2023} }'
chicago: Amakor, Augustina Chidinma, Konstantin Sonntag, and Sebastian Peitz. “A
Multiobjective Continuation Method to Compute the Regularization Path of Deep
Neural Networks.” ArXiv, 2023.
ieee: A. C. Amakor, K. Sonntag, and S. Peitz, “A multiobjective continuation method
to compute the regularization path of deep neural networks,” arXiv. 2023.
mla: Amakor, Augustina Chidinma, et al. “A Multiobjective Continuation Method to
Compute the Regularization Path of Deep Neural Networks.” ArXiv, 2023.
short: A.C. Amakor, K. Sonntag, S. Peitz, ArXiv (2023).
date_created: 2024-02-06T08:51:00Z
date_updated: 2024-02-06T08:52:07Z
department:
- _id: '655'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/pdf/2308.12044.pdf
oa: '1'
publication: arXiv
status: public
title: A multiobjective continuation method to compute the regularization path of
deep neural networks
type: preprint
user_id: '47427'
year: '2023'
...
---
_id: '51158'
abstract:
- lang: eng
text: "Extended Dynamic Mode Decomposition (EDMD) is a popular data-driven method
to\r\napproximate the Koopman operator for deterministic and stochastic (control)\r\nsystems.
This operator is linear and encompasses full information on the\r\n(expected stochastic)
dynamics. In this paper, we analyze a kernel-based EDMD\r\nalgorithm, known as
kEDMD, where the dictionary consists of the canonical\r\nkernel features at the
data points. The latter are acquired by i.i.d. samples\r\nfrom a user-defined
and application-driven distribution on a compact set. We\r\nprove bounds on the
prediction error of the kEDMD estimator when sampling from\r\nthis (not necessarily
ergodic) distribution. The error analysis is further\r\nextended to control-affine
systems, where the considered invariance of the\r\nReproducing Kernel Hilbert
Space is significantly less restrictive in\r\ncomparison to invariance assumptions
on an a-priori chosen dictionary."
author:
- first_name: Friedrich
full_name: Philipp, Friedrich
last_name: Philipp
- first_name: Manuel
full_name: Schaller, Manuel
last_name: Schaller
- first_name: Karl
full_name: Worthmann, Karl
last_name: Worthmann
- first_name: Sebastian
full_name: Peitz, Sebastian
id: '47427'
last_name: Peitz
orcid: 0000-0002-3389-793X
- first_name: Feliks
full_name: Nüske, Feliks
last_name: Nüske
citation:
ama: Philipp F, Schaller M, Worthmann K, Peitz S, Nüske F. Error analysis of kernel
EDMD for prediction and control in the Koopman framework. arXiv:231210460.
Published online 2023.
apa: Philipp, F., Schaller, M., Worthmann, K., Peitz, S., & Nüske, F. (2023).
Error analysis of kernel EDMD for prediction and control in the Koopman framework.
In arXiv:2312.10460.
bibtex: '@article{Philipp_Schaller_Worthmann_Peitz_Nüske_2023, title={Error analysis
of kernel EDMD for prediction and control in the Koopman framework}, journal={arXiv:2312.10460},
author={Philipp, Friedrich and Schaller, Manuel and Worthmann, Karl and Peitz,
Sebastian and Nüske, Feliks}, year={2023} }'
chicago: Philipp, Friedrich, Manuel Schaller, Karl Worthmann, Sebastian Peitz, and
Feliks Nüske. “Error Analysis of Kernel EDMD for Prediction and Control in the
Koopman Framework.” ArXiv:2312.10460, 2023.
ieee: F. Philipp, M. Schaller, K. Worthmann, S. Peitz, and F. Nüske, “Error analysis
of kernel EDMD for prediction and control in the Koopman framework,” arXiv:2312.10460.
2023.
mla: Philipp, Friedrich, et al. “Error Analysis of Kernel EDMD for Prediction and
Control in the Koopman Framework.” ArXiv:2312.10460, 2023.
short: F. Philipp, M. Schaller, K. Worthmann, S. Peitz, F. Nüske, ArXiv:2312.10460
(2023).
date_created: 2024-02-06T08:49:50Z
date_updated: 2024-02-06T08:50:32Z
department:
- _id: '655'
external_id:
arxiv:
- '2312.10460'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/pdf/2312.10460.pdf
oa: '1'
publication: arXiv:2312.10460
status: public
title: Error analysis of kernel EDMD for prediction and control in the Koopman framework
type: preprint
user_id: '47427'
year: '2023'
...
---
_id: '47049'
abstract:
- lang: eng
text: "As technology advances, Unmanned Aerial Vehicles ( UAVs) have emerged as
an innovative solution to a variety of problems in many fields. Automated control
of UAVs is most common in large area operations, but they may also increase the
versatility of smart home compositions by acting as a physical helper. For example,
a voice- controlled UAV could act as an intelligent aerial assistant that can
be seamlessly integrated into smart home systems. In this paper, we present a
novel Augmented Reality (AR )-based UAV control that provides high-level control
over a UAV by automating common UAV missions. In our work, we enable users to
operate a small UAV hands-free using only a small set of voice commands. To help
users identify the targets, and to understand the UAV ’s intentions, targets within
the user’s field of vision are highlighted in an AR interface. We evaluate our
approach in a user study (n=26) regarding usability, physical and mental demand,
as well as a focus on the users’ preferences. Our study showed that the use of
the proposed control was not only accepted, but some users stated that they would
use such a system at home to help with some tasks at home\r\n"
author:
- first_name: Robin
full_name: Helmert, Robin
last_name: Helmert
- first_name: Tobias
full_name: Hardes, Tobias
id: '35441'
last_name: Hardes
- first_name: Enes
full_name: Yigitbas, Enes
id: '8447'
last_name: Yigitbas
orcid: 0000-0002-5967-833X
citation:
ama: 'Helmert R, Hardes T, Yigitbas E. Design and Evaluation of an AR Voice-based
Indoor UAV Assistant for Smart Home Scenarios. In: Proceedings of the ACM Symposium
on Spatial User Interaction (SUI 2023). ACM; 2023.'
apa: Helmert, R., Hardes, T., & Yigitbas, E. (2023). Design and Evaluation of
an AR Voice-based Indoor UAV Assistant for Smart Home Scenarios. Proceedings
of the ACM Symposium on Spatial User Interaction (SUI 2023). ACM Symposium
on Spatial User Interaction, Sydney, Australia .
bibtex: '@inproceedings{Helmert_Hardes_Yigitbas_2023, title={Design and Evaluation
of an AR Voice-based Indoor UAV Assistant for Smart Home Scenarios}, booktitle={Proceedings
of the ACM Symposium on Spatial User Interaction (SUI 2023)}, publisher={ACM},
author={Helmert, Robin and Hardes, Tobias and Yigitbas, Enes}, year={2023} }'
chicago: Helmert, Robin, Tobias Hardes, and Enes Yigitbas. “Design and Evaluation
of an AR Voice-Based Indoor UAV Assistant for Smart Home Scenarios.” In Proceedings
of the ACM Symposium on Spatial User Interaction (SUI 2023). ACM, 2023.
ieee: R. Helmert, T. Hardes, and E. Yigitbas, “Design and Evaluation of an AR Voice-based
Indoor UAV Assistant for Smart Home Scenarios,” presented at the ACM Symposium
on Spatial User Interaction, Sydney, Australia , 2023.
mla: Helmert, Robin, et al. “Design and Evaluation of an AR Voice-Based Indoor UAV
Assistant for Smart Home Scenarios.” Proceedings of the ACM Symposium on Spatial
User Interaction (SUI 2023), ACM, 2023.
short: 'R. Helmert, T. Hardes, E. Yigitbas, in: Proceedings of the ACM Symposium
on Spatial User Interaction (SUI 2023), ACM, 2023.'
conference:
end_date: As technology advances, Unmanned Aerial Vehicles ( UAVs) have emerged
as an innovative solution to a variety of problems in many fields. Automated control
of UAVs is most common in large area operations, but they may also increase the
versatility of smart home compositions by acting as a physical helper. For example,
a voice- controlled UAV could act as an intelligent aerial assistant that can
be seamlessly integrated into smart home systems. In this paper, we present a
novel Augmented Reality (AR )-based UAV control that provides high-level control
over a UAV by automating common UAV missions. In our work, we enable users to
operate a small UAV hands-free using only a small set of voice commands. To help
users identify the targets, and to understand the UAV ’s intentions, targets within
the user’s field of vision are highlighted in an AR interface. We evaluate our
approach in a user study (n=26) regarding usability, physical and mental demand,
as well as a focus on the users’ preferences. Our study showed that the use of
the proposed control was not only accepted, but some users stated that they would
use such a system at home to help with some tasks at home
location: ' Sydney, Australia '
name: ACM Symposium on Spatial User Interaction
start_date: 2023-10-13
date_created: 2023-09-14T07:57:37Z
date_updated: 2024-02-08T07:58:15Z
department:
- _id: '66'
- _id: '534'
language:
- iso: eng
publication: Proceedings of the ACM Symposium on Spatial User Interaction (SUI 2023)
publication_status: published
publisher: ACM
status: public
title: Design and Evaluation of an AR Voice-based Indoor UAV Assistant for Smart Home
Scenarios
type: conference
user_id: '35441'
year: '2023'
...
---
_id: '51352'
abstract:
- lang: ger
text: Erfolg und Misserfolg eines Unternehmens werden maßgeblich durch getroffene
Entscheidungen beeinflusst. Daher verlassen sich Entscheider oft auf Entscheidungsunterstützungssysteme,
die durch Datensimulation, -optimierung und -visualisierung bei der Identifizierung
von geeigneten Entscheidungen unterstützen. Für eine optimale Unterstützung muss
ein Entscheidungsunterstützungssystem (EUS) jedoch auf den Entscheidungsprozess
eines Entscheiders abgestimmt sein und verfügbare Daten, Optimierungsziele, persönliche
Präferenzen sowie weitere Einflussfaktoren berücksichtigen. EUS-Entwickler können
aufgrund der Komplexität und Volatilität von Geschäftsumgebungen allerdings nicht
alle potenziellen Entscheidungsprozesse während des Entwurfs eines EUS vorhersehen,
wodurch ein EUS einem Entscheider häufig nur unzureichende Anpassungsmöglichkeiten
an den individuellen Entscheidungsprozess bietet. Die Einzelanfertigung eines
EUS, das auf einen Entscheidungsprozess zugeschnitten ist, ist ein kosten- und
zeitintensives Unterfangen aufgrund der begrenzten Verfügbarkeit von Softwareentwicklern
oder Missverständnissen zwischen Entwicklern und Entscheidern während der Entwicklung.
Daher geben sich Entscheider möglicherweise mit einem handelsüblichen EUS zufrieden,
das nicht vollständig mit ihrem Entscheidungsprozess übereinstimmt, suboptimale
Entscheidungen begünstigt und so den Unternehmenserfolg negativ beeinflusst. In
dieser Arbeit wird ein Ansatz vorgeschlagen, der es Entscheidern ermöglicht, selbst
maßgeschneiderte Entscheidungsunterstützungssysteme zu entwickeln und so die Diskrepanz
zwischen benötigter und tatsächlicher Entscheidungsunterstützung zu vermeiden.
Dazu stellen EUS-Entwickler einen Teil der EUS-Funktionalität als wiederverwendbare
Software-Dienste bereit ...
- lang: eng
text: 'Decision making significantly determines the success or failure of a business.
This motivates decision makers to rely on decision support systems for assistance
in identifying high-quality decisions using data simulation, optimization, and
visualization. However, for optimal assistance, a decision support system (DSS)
must align with the decision-making process of a decision maker, which is characterized
by available data, optimization goals, personal preferences, and other influences.
Unfortunately, the increasing complexity and volatility of business environments
prevent DSS developers to anticipate all potential decision-making processes during
DSS design, and consequently, to provide decision makers with sufficient customization
options. Commissioning a DSS that is tailored to a decision-making process is
a cost- and time-intensive undertaking due to limited developer availability or
misunderstandings between developers and decision makers. As a result, decision
makers may settle for an off-the-shelf DSS that does not fully align with their
decision-making process and potentially results in suboptimal decisions, thereby
impairing business success.This thesis proposes an approach that enables decision
makers to create tailored decision support systems themselves, thereby avoiding
the aforementioned misalignment between provided and required decision support.
The approach expects DSS developers to provide partial DSS functionality in the
form of reusable software services. Using a low-code approach, non-programmers
can then compose these services into a holistic DSS by modeling a decision-making
process with the help of an assistance system. The contribution of the thesis
is fourfold: First, the thesis explains how to design a service repository to
capture available decision support services for the encompassing application domain.
Second ...'
author:
- first_name: Jonas
full_name: Kirchhoff, Jonas
id: '39928'
last_name: Kirchhoff
citation:
ama: 'Kirchhoff J. Decision Support Ecosystems: Assisted Low-Code Development
of Tailored Decision Support Systems. Universität Paderborn; 2023. doi:10.17619/UNIPB/1-1845'
apa: 'Kirchhoff, J. (2023). Decision Support Ecosystems: Assisted Low-Code Development
of Tailored Decision Support Systems. Universität Paderborn. https://doi.org/10.17619/UNIPB/1-1845'
bibtex: '@book{Kirchhoff_2023, title={Decision Support Ecosystems: Assisted Low-Code
Development of Tailored Decision Support Systems}, DOI={10.17619/UNIPB/1-1845},
publisher={Universität Paderborn}, author={Kirchhoff, Jonas}, year={2023} }'
chicago: 'Kirchhoff, Jonas. Decision Support Ecosystems: Assisted Low-Code Development
of Tailored Decision Support Systems. Universität Paderborn, 2023. https://doi.org/10.17619/UNIPB/1-1845.'
ieee: 'J. Kirchhoff, Decision Support Ecosystems: Assisted Low-Code Development
of Tailored Decision Support Systems. Universität Paderborn, 2023.'
mla: 'Kirchhoff, Jonas. Decision Support Ecosystems: Assisted Low-Code Development
of Tailored Decision Support Systems. Universität Paderborn, 2023, doi:10.17619/UNIPB/1-1845.'
short: 'J. Kirchhoff, Decision Support Ecosystems: Assisted Low-Code Development
of Tailored Decision Support Systems, Universität Paderborn, 2023.'
date_created: 2024-02-15T09:59:22Z
date_updated: 2024-02-15T10:03:04Z
department:
- _id: '534'
- _id: '66'
doi: 10.17619/UNIPB/1-1845
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://digital.ub.uni-paderborn.de/hs/download/pdf/7319017?originalFilename=true
oa: '1'
publisher: Universität Paderborn
status: public
supervisor:
- first_name: Gregor
full_name: Engels, Gregor
id: '107'
last_name: Engels
title: 'Decision Support Ecosystems: Assisted Low-Code Development of Tailored Decision
Support Systems'
type: dissertation
user_id: '39928'
year: '2023'
...
---
_id: '46578'
abstract:
- lang: eng
text: 'Multiobjective optimization plays an increasingly important role in modern
applications, where several criteria are often of equal importance. The task in
multiobjective optimization and multiobjective optimal control is therefore to
compute the set of optimal compromises (the Pareto set) between the conflicting
objectives. The advances in algorithms and the increasing interest in Pareto-optimal
solutions have led to a wide range of new applications related to optimal and
feedback control - potentially with non-smoothness both on the level of the objectives
or in the system dynamics. This results in new challenges such as dealing with
expensive models (e.g., governed by partial differential equations (PDEs)) and
developing dedicated algorithms handling the non-smoothness. Since in contrast
to single-objective optimization, the Pareto set generally consists of an infinite
number of solutions, the computational effort can quickly become challenging,
which is particularly problematic when the objectives are costly to evaluate or
when a solution has to be presented very quickly. This article gives an overview
of recent developments in the field of multiobjective optimization of non-smooth
PDE-constrained problems. In particular we report on the advances achieved within
Project 2 "Multiobjective Optimization of Non-Smooth PDE-Constrained Problems
- Switches, State Constraints and Model Order Reduction" of the DFG Priority Programm
1962 "Non-smooth and Complementarity-based Distributed Parameter Systems: Simulation
and Hierarchical Optimization".'
author:
- first_name: Marco
full_name: Bernreuther, Marco
last_name: Bernreuther
- first_name: Michael
full_name: Dellnitz, Michael
last_name: Dellnitz
- first_name: Bennet
full_name: Gebken, Bennet
id: '32643'
last_name: Gebken
- first_name: Georg
full_name: Müller, Georg
last_name: Müller
- first_name: Sebastian
full_name: Peitz, Sebastian
id: '47427'
last_name: Peitz
orcid: 0000-0002-3389-793X
- first_name: Konstantin
full_name: Sonntag, Konstantin
id: '56399'
last_name: Sonntag
orcid: https://orcid.org/0000-0003-3384-3496
- first_name: Stefan
full_name: Volkwein, Stefan
last_name: Volkwein
citation:
ama: Bernreuther M, Dellnitz M, Gebken B, et al. Multiobjective Optimization of
Non-Smooth PDE-Constrained Problems. arXiv:230801113. Published online
2023.
apa: Bernreuther, M., Dellnitz, M., Gebken, B., Müller, G., Peitz, S., Sonntag,
K., & Volkwein, S. (2023). Multiobjective Optimization of Non-Smooth PDE-Constrained
Problems. In arXiv:2308.01113.
bibtex: '@article{Bernreuther_Dellnitz_Gebken_Müller_Peitz_Sonntag_Volkwein_2023,
title={Multiobjective Optimization of Non-Smooth PDE-Constrained Problems}, journal={arXiv:2308.01113},
author={Bernreuther, Marco and Dellnitz, Michael and Gebken, Bennet and Müller,
Georg and Peitz, Sebastian and Sonntag, Konstantin and Volkwein, Stefan}, year={2023}
}'
chicago: Bernreuther, Marco, Michael Dellnitz, Bennet Gebken, Georg Müller, Sebastian
Peitz, Konstantin Sonntag, and Stefan Volkwein. “Multiobjective Optimization of
Non-Smooth PDE-Constrained Problems.” ArXiv:2308.01113, 2023.
ieee: M. Bernreuther et al., “Multiobjective Optimization of Non-Smooth PDE-Constrained
Problems,” arXiv:2308.01113. 2023.
mla: Bernreuther, Marco, et al. “Multiobjective Optimization of Non-Smooth PDE-Constrained
Problems.” ArXiv:2308.01113, 2023.
short: M. Bernreuther, M. Dellnitz, B. Gebken, G. Müller, S. Peitz, K. Sonntag,
S. Volkwein, ArXiv:2308.01113 (2023).
date_created: 2023-08-21T05:50:12Z
date_updated: 2024-02-21T12:22:20Z
department:
- _id: '655'
- _id: '101'
external_id:
arxiv:
- '2308.01113'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/pdf/2308.01113
oa: '1'
publication: arXiv:2308.01113
status: public
title: Multiobjective Optimization of Non-Smooth PDE-Constrained Problems
type: preprint
user_id: '47427'
year: '2023'
...
---
_id: '52317'
author:
- first_name: Björn
full_name: Beckendorf, Björn
last_name: Beckendorf
citation:
ama: Beckendorf B. Self-Stabilizing Skip-Graph with Growth-Bounded Metric.;
2023.
apa: Beckendorf, B. (2023). Self-Stabilizing Skip-Graph with Growth-bounded Metric.
bibtex: '@book{Beckendorf_2023, title={Self-Stabilizing Skip-Graph with Growth-bounded
Metric}, author={Beckendorf, Björn}, year={2023} }'
chicago: Beckendorf, Björn. Self-Stabilizing Skip-Graph with Growth-Bounded Metric,
2023.
ieee: B. Beckendorf, Self-Stabilizing Skip-Graph with Growth-bounded Metric.
2023.
mla: Beckendorf, Björn. Self-Stabilizing Skip-Graph with Growth-Bounded Metric.
2023.
short: B. Beckendorf, Self-Stabilizing Skip-Graph with Growth-Bounded Metric, 2023.
date_created: 2024-03-05T12:48:39Z
date_updated: 2024-03-05T12:49:22Z
department:
- _id: '34'
- _id: '7'
- _id: '79'
language:
- iso: eng
status: public
supervisor:
- first_name: Christian
full_name: Scheideler, Christian
id: '20792'
last_name: Scheideler
title: Self-Stabilizing Skip-Graph with Growth-bounded Metric
type: mastersthesis
user_id: '15578'
year: '2023'
...
---
_id: '46248'
author:
- first_name: Caglar
full_name: Demir, Caglar
id: '43817'
last_name: Demir
- first_name: Michel
full_name: Wiebesiek, Michel
last_name: Wiebesiek
- first_name: Renzhong
full_name: Lu, Renzhong
last_name: Lu
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
- first_name: Stefan
full_name: Heindorf, Stefan
id: '11871'
last_name: Heindorf
orcid: 0000-0002-4525-6865
citation:
ama: 'Demir C, Wiebesiek M, Lu R, Ngonga Ngomo A-C, Heindorf S. LitCQD: Multi-Hop
Reasoning in Incomplete Knowledge Graphs with Numeric Literals. ECML PKDD.
Published online 2023.'
apa: 'Demir, C., Wiebesiek, M., Lu, R., Ngonga Ngomo, A.-C., & Heindorf, S.
(2023). LitCQD: Multi-Hop Reasoning in Incomplete Knowledge Graphs with Numeric
Literals. ECML PKDD. European Conference on Machine Learning and Principles
and Practice of Knowledge Discovery in Databases, Torino.'
bibtex: '@article{Demir_Wiebesiek_Lu_Ngonga Ngomo_Heindorf_2023, title={LitCQD:
Multi-Hop Reasoning in Incomplete Knowledge Graphs with Numeric Literals}, journal={ECML
PKDD}, author={Demir, Caglar and Wiebesiek, Michel and Lu, Renzhong and Ngonga
Ngomo, Axel-Cyrille and Heindorf, Stefan}, year={2023} }'
chicago: 'Demir, Caglar, Michel Wiebesiek, Renzhong Lu, Axel-Cyrille Ngonga Ngomo,
and Stefan Heindorf. “LitCQD: Multi-Hop Reasoning in Incomplete Knowledge Graphs
with Numeric Literals.” ECML PKDD, 2023.'
ieee: 'C. Demir, M. Wiebesiek, R. Lu, A.-C. Ngonga Ngomo, and S. Heindorf, “LitCQD:
Multi-Hop Reasoning in Incomplete Knowledge Graphs with Numeric Literals,” ECML
PKDD, 2023.'
mla: 'Demir, Caglar, et al. “LitCQD: Multi-Hop Reasoning in Incomplete Knowledge
Graphs with Numeric Literals.” ECML PKDD, 2023.'
short: C. Demir, M. Wiebesiek, R. Lu, A.-C. Ngonga Ngomo, S. Heindorf, ECML PKDD
(2023).
conference:
location: Torino
name: European Conference on Machine Learning and Principles and Practice of Knowledge
Discovery in Databases
date_created: 2023-08-01T09:24:21Z
date_updated: 2024-03-06T16:18:53Z
ddc:
- '000'
department:
- _id: '574'
- _id: '760'
file:
- access_level: open_access
content_type: application/pdf
creator: cdemir
date_created: 2023-08-01T09:24:15Z
date_updated: 2023-08-01T09:24:15Z
file_id: '46249'
file_name: public.pdf
file_size: 562759
relation: main_file
file_date_updated: 2023-08-01T09:24:15Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
project:
- _id: '407'
grant_number: '101070305'
name: 'ENEXA: Efficient Explainable Learning on Knowledge Graphs'
- _id: '410'
grant_number: '860801'
name: 'KnowGraphs: KnowGraphs: Knowledge Graphs at Scale'
- _id: '285'
grant_number: NW21-059D
name: 'SAIL: SAIL: SustAInable Life-cycle of Intelligent Socio-Technical Systems'
publication: ECML PKDD
status: public
title: 'LitCQD: Multi-Hop Reasoning in Incomplete Knowledge Graphs with Numeric Literals'
type: journal_article
user_id: '14931'
year: '2023'
...
---
_id: '52369'
abstract:
- lang: eng
text: Megatrends, such as digitization or sustainability, are confronting the product
management of manufacturing companies with a variety of challenges regarding the
design of future products, but also the management of the actual products. To
successfully position their products in the market, product managers need to gather
and analyze comprehensive information about customers, developments in the products’
environment, product usage, and more. The digitization of all aspects of life
is making data on these topics increasingly available – via social media, documents,
or the internet of things from the products themselves. The systematic collection
and analysis of these data enable the exploitation of new potentials for the adaption
of existing products and the creation of the products of tomorrow. However, there
are still no insights into the main concepts and cause-effect relationships in
exploiting data-driven approaches for product management. Therefore, this paper
aims to identify the main concepts and advantages of data-driven product management.
To answer the corresponding research questions a comprehensive systematic literature
review is conducted. From its results, a detailed description of the main concepts
of data-driven product management is derived. Furthermore, a taxonomy for the
advantages of data-driven product management is presented. The main concepts and
the taxonomy allow for a deeper understanding of the topic while highlighting
necessary future actions and research needs.
author:
- first_name: Timm
full_name: Fichtler, Timm
id: '66731'
last_name: Fichtler
orcid: https://orcid.org/0000-0001-6034-4399
- first_name: Khoren
full_name: Grigoryan, Khoren
last_name: Grigoryan
- first_name: Christian
full_name: Koldewey, Christian
id: '43136'
last_name: Koldewey
orcid: https://orcid.org/0000-0001-7992-6399
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: 'Fichtler T, Grigoryan K, Koldewey C, Dumitrescu R. Towards a Data-Driven Product
Management – Concepts, Advantages, and Future Research. In: 2023 IEEE International
Conference on Technology Management, Operations and Decisions (ICTMOD). IEEE;
2023. doi:10.1109/ictmod59086.2023.10438135'
apa: Fichtler, T., Grigoryan, K., Koldewey, C., & Dumitrescu, R. (2023). Towards
a Data-Driven Product Management – Concepts, Advantages, and Future Research.
2023 IEEE International Conference on Technology Management, Operations and
Decisions (ICTMOD). IEEE International Conference on Technology Management,
Operations and Decisions (ICTMOD), Rabat, Morocco. https://doi.org/10.1109/ictmod59086.2023.10438135
bibtex: '@inproceedings{Fichtler_Grigoryan_Koldewey_Dumitrescu_2023, title={Towards
a Data-Driven Product Management – Concepts, Advantages, and Future Research},
DOI={10.1109/ictmod59086.2023.10438135},
booktitle={2023 IEEE International Conference on Technology Management, Operations
and Decisions (ICTMOD)}, publisher={IEEE}, author={Fichtler, Timm and Grigoryan,
Khoren and Koldewey, Christian and Dumitrescu, Roman}, year={2023} }'
chicago: Fichtler, Timm, Khoren Grigoryan, Christian Koldewey, and Roman Dumitrescu.
“Towards a Data-Driven Product Management – Concepts, Advantages, and Future Research.”
In 2023 IEEE International Conference on Technology Management, Operations
and Decisions (ICTMOD). IEEE, 2023. https://doi.org/10.1109/ictmod59086.2023.10438135.
ieee: 'T. Fichtler, K. Grigoryan, C. Koldewey, and R. Dumitrescu, “Towards a Data-Driven
Product Management – Concepts, Advantages, and Future Research,” presented at
the IEEE International Conference on Technology Management, Operations and Decisions
(ICTMOD), Rabat, Morocco, 2023, doi: 10.1109/ictmod59086.2023.10438135.'
mla: Fichtler, Timm, et al. “Towards a Data-Driven Product Management – Concepts,
Advantages, and Future Research.” 2023 IEEE International Conference on Technology
Management, Operations and Decisions (ICTMOD), IEEE, 2023, doi:10.1109/ictmod59086.2023.10438135.
short: 'T. Fichtler, K. Grigoryan, C. Koldewey, R. Dumitrescu, in: 2023 IEEE International
Conference on Technology Management, Operations and Decisions (ICTMOD), IEEE,
2023.'
conference:
end_date: 2023-11-24
location: Rabat, Morocco
name: IEEE International Conference on Technology Management, Operations and Decisions
(ICTMOD)
start_date: 2023-11-22
date_created: 2024-03-07T18:13:47Z
date_updated: 2024-03-07T18:17:34Z
department:
- _id: '563'
doi: 10.1109/ictmod59086.2023.10438135
keyword:
- Product Lifecyle Management (PLM)
- Data Analytics
- Data-driven Design
- Engineering Management
- Lifecycle Data
language:
- iso: eng
publication: 2023 IEEE International Conference on Technology Management, Operations
and Decisions (ICTMOD)
publication_status: published
publisher: IEEE
status: public
title: Towards a Data-Driven Product Management – Concepts, Advantages, and Future
Research
type: conference
user_id: '66731'
year: '2023'
...
---
_id: '52530'
author:
- first_name: Raphael Patrick
full_name: Prager, Raphael Patrick
last_name: Prager
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
citation:
ama: 'Prager RP, Trautmann H. Investigating the Viability of Existing Exploratory
Landscape Analysis Features for Mixed-Integer Problems. In: Silva S, Paquete L,
eds. Companion Proceedings of the Conference on Genetic and Evolutionary Computation,
GECCO 2023, Companion Volume, Lisbon, Portugal, July 15-19, 2023. ACM; 2023:451–454.
doi:10.1145/3583133.3590757'
apa: Prager, R. P., & Trautmann, H. (2023). Investigating the Viability of Existing
Exploratory Landscape Analysis Features for Mixed-Integer Problems. In S. Silva
& L. Paquete (Eds.), Companion Proceedings of the Conference on Genetic
and Evolutionary Computation, GECCO 2023, Companion Volume, Lisbon, Portugal,
July 15-19, 2023 (pp. 451–454). ACM. https://doi.org/10.1145/3583133.3590757
bibtex: '@inproceedings{Prager_Trautmann_2023, title={Investigating the Viability
of Existing Exploratory Landscape Analysis Features for Mixed-Integer Problems},
DOI={10.1145/3583133.3590757},
booktitle={Companion Proceedings of the Conference on Genetic and Evolutionary
Computation, GECCO 2023, Companion Volume, Lisbon, Portugal, July 15-19, 2023},
publisher={ACM}, author={Prager, Raphael Patrick and Trautmann, Heike}, editor={Silva,
Sara and Paquete, Luís}, year={2023}, pages={451–454} }'
chicago: Prager, Raphael Patrick, and Heike Trautmann. “Investigating the Viability
of Existing Exploratory Landscape Analysis Features for Mixed-Integer Problems.”
In Companion Proceedings of the Conference on Genetic and Evolutionary Computation,
GECCO 2023, Companion Volume, Lisbon, Portugal, July 15-19, 2023, edited by
Sara Silva and Luís Paquete, 451–454. ACM, 2023. https://doi.org/10.1145/3583133.3590757.
ieee: 'R. P. Prager and H. Trautmann, “Investigating the Viability of Existing Exploratory
Landscape Analysis Features for Mixed-Integer Problems,” in Companion Proceedings
of the Conference on Genetic and Evolutionary Computation, GECCO 2023, Companion
Volume, Lisbon, Portugal, July 15-19, 2023, 2023, pp. 451–454, doi: 10.1145/3583133.3590757.'
mla: Prager, Raphael Patrick, and Heike Trautmann. “Investigating the Viability
of Existing Exploratory Landscape Analysis Features for Mixed-Integer Problems.”
Companion Proceedings of the Conference on Genetic and Evolutionary Computation,
GECCO 2023, Companion Volume, Lisbon, Portugal, July 15-19, 2023, edited by
Sara Silva and Luís Paquete, ACM, 2023, pp. 451–454, doi:10.1145/3583133.3590757.
short: 'R.P. Prager, H. Trautmann, in: S. Silva, L. Paquete (Eds.), Companion Proceedings
of the Conference on Genetic and Evolutionary Computation, GECCO 2023, Companion
Volume, Lisbon, Portugal, July 15-19, 2023, ACM, 2023, pp. 451–454.'
date_created: 2024-03-13T09:55:17Z
date_updated: 2024-03-13T10:28:07Z
department:
- _id: '819'
doi: 10.1145/3583133.3590757
editor:
- first_name: Sara
full_name: Silva, Sara
last_name: Silva
- first_name: Luís
full_name: Paquete, Luís
last_name: Paquete
language:
- iso: eng
page: 451–454
publication: Companion Proceedings of the Conference on Genetic and Evolutionary Computation,
GECCO 2023, Companion Volume, Lisbon, Portugal, July 15-19, 2023
publisher: ACM
status: public
title: Investigating the Viability of Existing Exploratory Landscape Analysis Features
for Mixed-Integer Problems
type: conference
user_id: '15504'
year: '2023'
...
---
_id: '52662'
abstract:
- lang: eng
text: Static analysis tools support developers in detecting potential coding issues,
such as bugs or vulnerabilities. Research emphasizes technical challenges of such
tools but also mentions severe usability shortcomings. These shortcomings hinder
the adoption of static analysis tools, and user dissatisfaction may even lead
to tool abandonment. To comprehensively assess the state of the art, we present
the first systematic usability evaluation of a wide range of static analysis tools.
We derived a set of 36 relevant criteria from the literature and used them to
evaluate a total of 46 static analysis tools complying with our inclusion and
exclusion criteria - a representative set of mainly non-proprietary tools. The
evaluation against the usability criteria in a multiple-raters approach shows
that two thirds of the considered tools off er poor warning messages, while about
three-quarters provide hardly any fix support. Furthermore, the integration of
user knowledge is strongly neglected, which could be used for instance, to improve
handling of false positives. Finally, issues regarding workflow integration and
specialized user interfaces are revealed. These findings should prove useful in
guiding and focusing further research and development in user experience for static
code analyses.
author:
- first_name: Marcus
full_name: Nachtigall, Marcus
id: '41213'
last_name: Nachtigall
- first_name: Michael
full_name: Schlichtig, Michael
id: '32312'
last_name: Schlichtig
orcid: 0000-0001-6600-6171
- first_name: Eric
full_name: Bodden, Eric
id: '59256'
last_name: Bodden
orcid: 0000-0003-3470-3647
citation:
ama: 'Nachtigall M, Schlichtig M, Bodden E. Evaluation of Usability Criteria Addressed
by Static Analysis Tools on a Large Scale. In: Software Engineering 2023.
Gesellschaft für Informatik e.V.; 2023:95–96.'
apa: Nachtigall, M., Schlichtig, M., & Bodden, E. (2023). Evaluation of Usability
Criteria Addressed by Static Analysis Tools on a Large Scale. In Software Engineering
2023 (pp. 95–96). Gesellschaft für Informatik e.V.
bibtex: '@inbook{Nachtigall_Schlichtig_Bodden_2023, place={Bonn}, title={Evaluation
of Usability Criteria Addressed by Static Analysis Tools on a Large Scale}, booktitle={Software
Engineering 2023}, publisher={Gesellschaft für Informatik e.V.}, author={Nachtigall,
Marcus and Schlichtig, Michael and Bodden, Eric}, year={2023}, pages={95–96} }'
chicago: 'Nachtigall, Marcus, Michael Schlichtig, and Eric Bodden. “Evaluation of
Usability Criteria Addressed by Static Analysis Tools on a Large Scale.” In Software
Engineering 2023, 95–96. Bonn: Gesellschaft für Informatik e.V., 2023.'
ieee: 'M. Nachtigall, M. Schlichtig, and E. Bodden, “Evaluation of Usability Criteria
Addressed by Static Analysis Tools on a Large Scale,” in Software Engineering
2023, Bonn: Gesellschaft für Informatik e.V., 2023, pp. 95–96.'
mla: Nachtigall, Marcus, et al. “Evaluation of Usability Criteria Addressed by Static
Analysis Tools on a Large Scale.” Software Engineering 2023, Gesellschaft
für Informatik e.V., 2023, pp. 95–96.
short: 'M. Nachtigall, M. Schlichtig, E. Bodden, in: Software Engineering 2023,
Gesellschaft für Informatik e.V., Bonn, 2023, pp. 95–96.'
date_created: 2024-03-20T09:26:29Z
date_updated: 2024-03-20T09:27:41Z
department:
- _id: '76'
keyword:
- Automated static analysis
- Software usability
language:
- iso: eng
main_file_link:
- url: https://dl.gi.de/items/5afe477f-2f6a-4b3d-b391-f024baf0b7a5
page: 95–96
place: Bonn
publication: Software Engineering 2023
publication_identifier:
isbn:
- 978-3-88579-726-5
publisher: Gesellschaft für Informatik e.V.
status: public
title: Evaluation of Usability Criteria Addressed by Static Analysis Tools on a Large
Scale
type: book_chapter
user_id: '32312'
year: '2023'
...
---
_id: '52660'
abstract:
- lang: eng
text: Application Programming Interfaces (APIs) are the primary mechanism developers
use to obtain access to third-party algorithms and services. Unfortunately, APIs
can be misused, which can have catastrophic consequences, especially if the APIs
provide security-critical functionalities like cryptography. Understanding what
API misuses are, and how they are caused, is important to prevent them, eg, with
API misuse detectors. However, definitions for API misuses and related terms in
literature vary. This paper presents a systematic literature review to clarify
these terms and introduces FUM, a novel Framework for API Usage constraint and
Misuse classification. The literature review revealed that API misuses are violations
of API usage constraints. To address this, we provide unified definitions and
use them to derive FUM. To assess the extent to which FUM aids in determining
and guiding the improvement of an API misuses detector’s capabilities, we performed
a case study on the state-of the-art misuse detection tool CogniCrypt. The study
showed that FUM can be used to properly assess CogniCrypt’s capabilities, identify
weaknesses and assist in deriving mitigations and improvements.
author:
- first_name: Michael
full_name: Schlichtig, Michael
id: '32312'
last_name: Schlichtig
orcid: 0000-0001-6600-6171
- first_name: Steffen
full_name: Sassalla, Steffen
last_name: Sassalla
- first_name: Krishna
full_name: Narasimhan, Krishna
last_name: Narasimhan
- first_name: Eric
full_name: Bodden, Eric
id: '59256'
last_name: Bodden
orcid: 0000-0003-3470-3647
citation:
ama: 'Schlichtig M, Sassalla S, Narasimhan K, Bodden E. Introducing FUM: A Framework
for API Usage Constraint and Misuse Classification. In: Software Engineering
2023. Gesellschaft für Informatik e.V.; 2023:105–106.'
apa: 'Schlichtig, M., Sassalla, S., Narasimhan, K., & Bodden, E. (2023). Introducing
FUM: A Framework for API Usage Constraint and Misuse Classification. In Software
Engineering 2023 (pp. 105–106). Gesellschaft für Informatik e.V.'
bibtex: '@inbook{Schlichtig_Sassalla_Narasimhan_Bodden_2023, place={Bonn}, title={Introducing
FUM: A Framework for API Usage Constraint and Misuse Classification}, booktitle={Software
Engineering 2023}, publisher={Gesellschaft für Informatik e.V.}, author={Schlichtig,
Michael and Sassalla, Steffen and Narasimhan, Krishna and Bodden, Eric}, year={2023},
pages={105–106} }'
chicago: 'Schlichtig, Michael, Steffen Sassalla, Krishna Narasimhan, and Eric Bodden.
“Introducing FUM: A Framework for API Usage Constraint and Misuse Classification.”
In Software Engineering 2023, 105–106. Bonn: Gesellschaft für Informatik
e.V., 2023.'
ieee: 'M. Schlichtig, S. Sassalla, K. Narasimhan, and E. Bodden, “Introducing FUM:
A Framework for API Usage Constraint and Misuse Classification,” in Software
Engineering 2023, Bonn: Gesellschaft für Informatik e.V., 2023, pp. 105–106.'
mla: 'Schlichtig, Michael, et al. “Introducing FUM: A Framework for API Usage Constraint
and Misuse Classification.” Software Engineering 2023, Gesellschaft für
Informatik e.V., 2023, pp. 105–106.'
short: 'M. Schlichtig, S. Sassalla, K. Narasimhan, E. Bodden, in: Software Engineering
2023, Gesellschaft für Informatik e.V., Bonn, 2023, pp. 105–106.'
date_created: 2024-03-20T09:22:27Z
date_updated: 2024-03-20T09:25:46Z
department:
- _id: '76'
keyword:
- API misuses API usage constraints
- classification framework
- API misuse detection
- static analysis
language:
- iso: eng
main_file_link:
- url: https://dl.gi.de/items/c4825557-cf3d-4038-933a-d8f95fd324a2
page: 105–106
place: Bonn
publication: Software Engineering 2023
publication_identifier:
isbn:
- 978-3-88579-726-5
publisher: Gesellschaft für Informatik e.V.
status: public
title: 'Introducing FUM: A Framework for API Usage Constraint and Misuse Classification'
type: book_chapter
user_id: '32312'
year: '2023'
...
---
_id: '52861'
author:
- first_name: Oliver Fernández
full_name: Gil, Oliver Fernández
last_name: Gil
- first_name: Fabio
full_name: Patrizi, Fabio
last_name: Patrizi
- first_name: Giuseppe
full_name: Perelli, Giuseppe
last_name: Perelli
- first_name: Anni-Yasmin
full_name: Turhan, Anni-Yasmin
id: '104470'
last_name: Turhan
citation:
ama: Gil OF, Patrizi F, Perelli G, Turhan A-Y. Optimal Alignment of Temporal Knowledge
Bases. CoRR. 2023;abs/2307.15439. doi:10.48550/ARXIV.2307.15439
apa: Gil, O. F., Patrizi, F., Perelli, G., & Turhan, A.-Y. (2023). Optimal Alignment
of Temporal Knowledge Bases. CoRR, abs/2307.15439. https://doi.org/10.48550/ARXIV.2307.15439
bibtex: '@article{Gil_Patrizi_Perelli_Turhan_2023, title={Optimal Alignment of Temporal
Knowledge Bases}, volume={abs/2307.15439}, DOI={10.48550/ARXIV.2307.15439},
journal={CoRR}, author={Gil, Oliver Fernández and Patrizi, Fabio and Perelli,
Giuseppe and Turhan, Anni-Yasmin}, year={2023} }'
chicago: Gil, Oliver Fernández, Fabio Patrizi, Giuseppe Perelli, and Anni-Yasmin
Turhan. “Optimal Alignment of Temporal Knowledge Bases.” CoRR abs/2307.15439
(2023). https://doi.org/10.48550/ARXIV.2307.15439.
ieee: 'O. F. Gil, F. Patrizi, G. Perelli, and A.-Y. Turhan, “Optimal Alignment of
Temporal Knowledge Bases,” CoRR, vol. abs/2307.15439, 2023, doi: 10.48550/ARXIV.2307.15439.'
mla: Gil, Oliver Fernández, et al. “Optimal Alignment of Temporal Knowledge Bases.”
CoRR, vol. abs/2307.15439, 2023, doi:10.48550/ARXIV.2307.15439.
short: O.F. Gil, F. Patrizi, G. Perelli, A.-Y. Turhan, CoRR abs/2307.15439 (2023).
date_created: 2024-03-25T13:58:27Z
date_updated: 2024-03-25T13:59:45Z
department:
- _id: '888'
doi: 10.48550/ARXIV.2307.15439
language:
- iso: eng
publication: CoRR
status: public
title: Optimal Alignment of Temporal Knowledge Bases
type: journal_article
user_id: '9503'
volume: abs/2307.15439
year: '2023'
...
---
_id: '52863'
author:
- first_name: Urban
full_name: Ŝkvorc, Urban
last_name: Ŝkvorc
- first_name: Tome
full_name: Eftimov, Tome
last_name: Eftimov
- first_name: Peter
full_name: Koro]ec, Peter
last_name: Koro]ec
citation:
ama: 'Ŝkvorc U, Eftimov T, Koro]ec P. Analyzing the Generalizability of Automated
Algorithm Selection: A Case Study for Numerical Optimization. In: 2023 IEEE
Symposium Series on Computational Intelligence (SSCI). IEEE; 2023. doi:10.1109/ssci52147.2023.10371868'
apa: 'Ŝkvorc, U., Eftimov, T., & Koro]ec, P. (2023). Analyzing the Generalizability
of Automated Algorithm Selection: A Case Study for Numerical Optimization. 2023
IEEE Symposium Series on Computational Intelligence (SSCI). https://doi.org/10.1109/ssci52147.2023.10371868'
bibtex: '@inproceedings{Ŝkvorc_Eftimov_Koro]ec_2023, title={Analyzing the Generalizability
of Automated Algorithm Selection: A Case Study for Numerical Optimization}, DOI={10.1109/ssci52147.2023.10371868},
booktitle={2023 IEEE Symposium Series on Computational Intelligence (SSCI)}, publisher={IEEE},
author={Ŝkvorc, Urban and Eftimov, Tome and Koro]ec, Peter}, year={2023} }'
chicago: 'Ŝkvorc, Urban, Tome Eftimov, and Peter Koro]ec. “Analyzing the Generalizability
of Automated Algorithm Selection: A Case Study for Numerical Optimization.” In
2023 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE,
2023. https://doi.org/10.1109/ssci52147.2023.10371868.'
ieee: 'U. Ŝkvorc, T. Eftimov, and P. Koro]ec, “Analyzing the Generalizability of
Automated Algorithm Selection: A Case Study for Numerical Optimization,” 2023,
doi: 10.1109/ssci52147.2023.10371868.'
mla: 'Ŝkvorc, Urban, et al. “Analyzing the Generalizability of Automated Algorithm
Selection: A Case Study for Numerical Optimization.” 2023 IEEE Symposium Series
on Computational Intelligence (SSCI), IEEE, 2023, doi:10.1109/ssci52147.2023.10371868.'
short: 'U. Ŝkvorc, T. Eftimov, P. Koro]ec, in: 2023 IEEE Symposium Series on Computational
Intelligence (SSCI), IEEE, 2023.'
date_created: 2024-03-25T14:23:53Z
date_updated: 2024-03-26T10:45:19Z
department:
- _id: '819'
doi: 10.1109/ssci52147.2023.10371868
extern: '1'
language:
- iso: eng
publication: 2023 IEEE Symposium Series on Computational Intelligence (SSCI)
publication_status: published
publisher: IEEE
status: public
title: 'Analyzing the Generalizability of Automated Algorithm Selection: A Case Study
for Numerical Optimization'
type: conference
user_id: '103764'
year: '2023'
...
---
_id: '52913'
author:
- first_name: Anni-Yasmin
full_name: Turhan, Anni-Yasmin
id: '104470'
last_name: Turhan
citation:
ama: 'Turhan A-Y. Brushing-up DLs to Cope with Imperfect Data (Abstract of Joint
DL+NMR Invited Talk). In: Kutz O, Lutz C, Ozaki A, eds. Proceedings of the
36th International Workshop on Description Logics {(DL} 2023) Co-Located with
the 20th International Conference on Principles of Knowledge Representation and
Reasoning and the 21st International Workshop on Non-Monotonic Reasoning {(KR}
2023 and NMR 2023)., Rhodes, Greece, September 2-4, 2023. Vol 3515. CEUR Workshop
Proceedings. CEUR-WS.org; 2023.'
apa: Turhan, A.-Y. (2023). Brushing-up DLs to Cope with Imperfect Data (Abstract
of Joint DL+NMR Invited Talk). In O. Kutz, C. Lutz, & A. Ozaki (Eds.), Proceedings
of the 36th International Workshop on Description Logics {(DL} 2023) co-located
with the 20th International Conference on Principles of Knowledge Representation
and Reasoning and the 21st International Workshop on Non-Monotonic Reasoning {(KR}
2023 and NMR 2023)., Rhodes, Greece, September 2-4, 2023 (Vol. 3515). CEUR-WS.org.
bibtex: '@inproceedings{Turhan_2023, series={CEUR Workshop Proceedings}, title={Brushing-up
DLs to Cope with Imperfect Data (Abstract of Joint DL+NMR Invited Talk)}, volume={3515},
booktitle={Proceedings of the 36th International Workshop on Description Logics
{(DL} 2023) co-located with the 20th International Conference on Principles of
Knowledge Representation and Reasoning and the 21st International Workshop on
Non-Monotonic Reasoning {(KR} 2023 and NMR 2023)., Rhodes, Greece, September 2-4,
2023}, publisher={CEUR-WS.org}, author={Turhan, Anni-Yasmin}, editor={Kutz, Oliver
and Lutz, Carsten and Ozaki, Ana}, year={2023}, collection={CEUR Workshop Proceedings}
}'
chicago: Turhan, Anni-Yasmin. “Brushing-up DLs to Cope with Imperfect Data (Abstract
of Joint DL+NMR Invited Talk).” In Proceedings of the 36th International Workshop
on Description Logics {(DL} 2023) Co-Located with the 20th International Conference
on Principles of Knowledge Representation and Reasoning and the 21st International
Workshop on Non-Monotonic Reasoning {(KR} 2023 and NMR 2023)., Rhodes, Greece,
September 2-4, 2023, edited by Oliver Kutz, Carsten Lutz, and Ana Ozaki, Vol.
3515. CEUR Workshop Proceedings. CEUR-WS.org, 2023.
ieee: A.-Y. Turhan, “Brushing-up DLs to Cope with Imperfect Data (Abstract of Joint
DL+NMR Invited Talk),” in Proceedings of the 36th International Workshop on
Description Logics {(DL} 2023) co-located with the 20th International Conference
on Principles of Knowledge Representation and Reasoning and the 21st International
Workshop on Non-Monotonic Reasoning {(KR} 2023 and NMR 2023)., Rhodes, Greece,
September 2-4, 2023, 2023, vol. 3515.
mla: Turhan, Anni-Yasmin. “Brushing-up DLs to Cope with Imperfect Data (Abstract
of Joint DL+NMR Invited Talk).” Proceedings of the 36th International Workshop
on Description Logics {(DL} 2023) Co-Located with the 20th International Conference
on Principles of Knowledge Representation and Reasoning and the 21st International
Workshop on Non-Monotonic Reasoning {(KR} 2023 and NMR 2023)., Rhodes, Greece,
September 2-4, 2023, edited by Oliver Kutz et al., vol. 3515, CEUR-WS.org,
2023.
short: 'A.-Y. Turhan, in: O. Kutz, C. Lutz, A. Ozaki (Eds.), Proceedings of the
36th International Workshop on Description Logics {(DL} 2023) Co-Located with
the 20th International Conference on Principles of Knowledge Representation and
Reasoning and the 21st International Workshop on Non-Monotonic Reasoning {(KR}
2023 and NMR 2023)., Rhodes, Greece, September 2-4, 2023, CEUR-WS.org, 2023.'
date_created: 2024-03-26T10:50:16Z
date_updated: 2024-03-26T10:50:47Z
department:
- _id: '888'
editor:
- first_name: Oliver
full_name: Kutz, Oliver
last_name: Kutz
- first_name: Carsten
full_name: Lutz, Carsten
last_name: Lutz
- first_name: Ana
full_name: Ozaki, Ana
last_name: Ozaki
intvolume: ' 3515'
language:
- iso: eng
publication: Proceedings of the 36th International Workshop on Description Logics
{(DL} 2023) co-located with the 20th International Conference on Principles of Knowledge
Representation and Reasoning and the 21st International Workshop on Non-Monotonic
Reasoning {(KR} 2023 and NMR 2023)., Rhodes, Greece, September 2-4, 2023
publisher: CEUR-WS.org
series_title: CEUR Workshop Proceedings
status: public
title: Brushing-up DLs to Cope with Imperfect Data (Abstract of Joint DL+NMR Invited
Talk)
type: conference
user_id: '9503'
volume: 3515
year: '2023'
...
---
_id: '52380'
author:
- first_name: Sören
full_name: Sparmann, Sören
id: '63216'
last_name: Sparmann
- first_name: Sven
full_name: Hüsing, Sven
id: '58465'
last_name: Hüsing
- first_name: Carsten
full_name: Schulte, Carsten
id: '60311'
last_name: Schulte
citation:
ama: 'Sparmann S, Hüsing S, Schulte C. JuGaze: A Cell-based Eye Tracking and Logging
Tool for Jupyter Notebooks. In: Proceedings of the 23rd Koli Calling International
Conference on Computing Education Research. ACM; 2023. doi:10.1145/3631802.3631824'
apa: 'Sparmann, S., Hüsing, S., & Schulte, C. (2023). JuGaze: A Cell-based Eye
Tracking and Logging Tool for Jupyter Notebooks. Proceedings of the 23rd Koli
Calling International Conference on Computing Education Research. https://doi.org/10.1145/3631802.3631824'
bibtex: '@inproceedings{Sparmann_Hüsing_Schulte_2023, title={JuGaze: A Cell-based
Eye Tracking and Logging Tool for Jupyter Notebooks}, DOI={10.1145/3631802.3631824},
booktitle={Proceedings of the 23rd Koli Calling International Conference on Computing
Education Research}, publisher={ACM}, author={Sparmann, Sören and Hüsing, Sven
and Schulte, Carsten}, year={2023} }'
chicago: 'Sparmann, Sören, Sven Hüsing, and Carsten Schulte. “JuGaze: A Cell-Based
Eye Tracking and Logging Tool for Jupyter Notebooks.” In Proceedings of the
23rd Koli Calling International Conference on Computing Education Research.
ACM, 2023. https://doi.org/10.1145/3631802.3631824.'
ieee: 'S. Sparmann, S. Hüsing, and C. Schulte, “JuGaze: A Cell-based Eye Tracking
and Logging Tool for Jupyter Notebooks,” 2023, doi: 10.1145/3631802.3631824.'
mla: 'Sparmann, Sören, et al. “JuGaze: A Cell-Based Eye Tracking and Logging Tool
for Jupyter Notebooks.” Proceedings of the 23rd Koli Calling International
Conference on Computing Education Research, ACM, 2023, doi:10.1145/3631802.3631824.'
short: 'S. Sparmann, S. Hüsing, C. Schulte, in: Proceedings of the 23rd Koli Calling
International Conference on Computing Education Research, ACM, 2023.'
date_created: 2024-03-08T08:02:10Z
date_updated: 2024-04-11T12:30:59Z
department:
- _id: '67'
doi: 10.1145/3631802.3631824
language:
- iso: eng
publication: Proceedings of the 23rd Koli Calling International Conference on Computing
Education Research
publication_status: published
publisher: ACM
status: public
title: 'JuGaze: A Cell-based Eye Tracking and Logging Tool for Jupyter Notebooks'
type: conference
user_id: '58465'
year: '2023'
...
---
_id: '46188'
author:
- first_name: Jennifer
full_name: Faj, Jennifer
id: '78722'
last_name: Faj
- first_name: Tobias
full_name: Kenter, Tobias
id: '3145'
last_name: Kenter
- first_name: Sara
full_name: Faghih-Naini, Sara
last_name: Faghih-Naini
- first_name: Christian
full_name: Plessl, Christian
id: '16153'
last_name: Plessl
orcid: 0000-0001-5728-9982
- first_name: Vadym
full_name: Aizinger, Vadym
last_name: Aizinger
citation:
ama: 'Faj J, Kenter T, Faghih-Naini S, Plessl C, Aizinger V. Scalable Multi-FPGA
Design of a Discontinuous Galerkin Shallow-Water Model on Unstructured Meshes.
In: Proceedings of the Platform for Advanced Scientific Computing Conference
(PASC). ACM; 2023. doi:10.1145/3592979.3593407'
apa: Faj, J., Kenter, T., Faghih-Naini, S., Plessl, C., & Aizinger, V. (2023).
Scalable Multi-FPGA Design of a Discontinuous Galerkin Shallow-Water Model on
Unstructured Meshes. Proceedings of the Platform for Advanced Scientific Computing
Conference (PASC). https://doi.org/10.1145/3592979.3593407
bibtex: '@inproceedings{Faj_Kenter_Faghih-Naini_Plessl_Aizinger_2023, title={Scalable
Multi-FPGA Design of a Discontinuous Galerkin Shallow-Water Model on Unstructured
Meshes}, DOI={10.1145/3592979.3593407},
booktitle={Proceedings of the Platform for Advanced Scientific Computing Conference
(PASC)}, publisher={ACM}, author={Faj, Jennifer and Kenter, Tobias and Faghih-Naini,
Sara and Plessl, Christian and Aizinger, Vadym}, year={2023} }'
chicago: Faj, Jennifer, Tobias Kenter, Sara Faghih-Naini, Christian Plessl, and
Vadym Aizinger. “Scalable Multi-FPGA Design of a Discontinuous Galerkin Shallow-Water
Model on Unstructured Meshes.” In Proceedings of the Platform for Advanced
Scientific Computing Conference (PASC). ACM, 2023. https://doi.org/10.1145/3592979.3593407.
ieee: 'J. Faj, T. Kenter, S. Faghih-Naini, C. Plessl, and V. Aizinger, “Scalable
Multi-FPGA Design of a Discontinuous Galerkin Shallow-Water Model on Unstructured
Meshes,” 2023, doi: 10.1145/3592979.3593407.'
mla: Faj, Jennifer, et al. “Scalable Multi-FPGA Design of a Discontinuous Galerkin
Shallow-Water Model on Unstructured Meshes.” Proceedings of the Platform for
Advanced Scientific Computing Conference (PASC), ACM, 2023, doi:10.1145/3592979.3593407.
short: 'J. Faj, T. Kenter, S. Faghih-Naini, C. Plessl, V. Aizinger, in: Proceedings
of the Platform for Advanced Scientific Computing Conference (PASC), ACM, 2023.'
date_created: 2023-07-28T09:42:14Z
date_updated: 2024-04-17T08:09:39Z
department:
- _id: '27'
- _id: '518'
doi: 10.1145/3592979.3593407
language:
- iso: eng
main_file_link:
- url: https://dl.acm.org/doi/pdf/10.1145/3592979.3593407
project:
- _id: '52'
name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing'
publication: Proceedings of the Platform for Advanced Scientific Computing Conference
(PASC)
publication_status: published
publisher: ACM
quality_controlled: '1'
related_material:
link:
- description: Open Access available via this link.
relation: other
url: https://www.sighpc.org/for-our-community/acm-open-tocs/pasc23-open-toc
status: public
title: Scalable Multi-FPGA Design of a Discontinuous Galerkin Shallow-Water Model
on Unstructured Meshes
type: conference
user_id: '3145'
year: '2023'
...
---
_id: '46189'
author:
- first_name: Charles
full_name: Prouveur, Charles
last_name: Prouveur
- first_name: Matthieu
full_name: Haefele, Matthieu
last_name: Haefele
- first_name: Tobias
full_name: Kenter, Tobias
id: '3145'
last_name: Kenter
- first_name: Nils
full_name: Voss, Nils
last_name: Voss
citation:
ama: 'Prouveur C, Haefele M, Kenter T, Voss N. FPGA Acceleration for HPC Supercapacitor
Simulations. In: Proceedings of the Platform for Advanced Scientific Computing
Conference (PASC). ACM; 2023. doi:10.1145/3592979.3593419'
apa: Prouveur, C., Haefele, M., Kenter, T., & Voss, N. (2023). FPGA Acceleration
for HPC Supercapacitor Simulations. Proceedings of the Platform for Advanced
Scientific Computing Conference (PASC). https://doi.org/10.1145/3592979.3593419
bibtex: '@inproceedings{Prouveur_Haefele_Kenter_Voss_2023, title={FPGA Acceleration
for HPC Supercapacitor Simulations}, DOI={10.1145/3592979.3593419},
booktitle={Proceedings of the Platform for Advanced Scientific Computing Conference
(PASC)}, publisher={ACM}, author={Prouveur, Charles and Haefele, Matthieu and
Kenter, Tobias and Voss, Nils}, year={2023} }'
chicago: Prouveur, Charles, Matthieu Haefele, Tobias Kenter, and Nils Voss. “FPGA
Acceleration for HPC Supercapacitor Simulations.” In Proceedings of the Platform
for Advanced Scientific Computing Conference (PASC). ACM, 2023. https://doi.org/10.1145/3592979.3593419.
ieee: 'C. Prouveur, M. Haefele, T. Kenter, and N. Voss, “FPGA Acceleration for HPC
Supercapacitor Simulations,” 2023, doi: 10.1145/3592979.3593419.'
mla: Prouveur, Charles, et al. “FPGA Acceleration for HPC Supercapacitor Simulations.”
Proceedings of the Platform for Advanced Scientific Computing Conference (PASC),
ACM, 2023, doi:10.1145/3592979.3593419.
short: 'C. Prouveur, M. Haefele, T. Kenter, N. Voss, in: Proceedings of the Platform
for Advanced Scientific Computing Conference (PASC), ACM, 2023.'
date_created: 2023-07-28T09:46:25Z
date_updated: 2024-04-17T08:10:51Z
department:
- _id: '27'
- _id: '518'
doi: 10.1145/3592979.3593419
language:
- iso: eng
main_file_link:
- url: https://dl.acm.org/doi/pdf/10.1145/3592979.3593419
project:
- _id: '52'
name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing'
publication: Proceedings of the Platform for Advanced Scientific Computing Conference
(PASC)
publication_status: published
publisher: ACM
quality_controlled: '1'
related_material:
link:
- description: Open Access available via this link.
relation: other
url: ' https://www.sighpc.org/for-our-community/acm-open-tocs/pasc23-open-toc '
status: public
title: FPGA Acceleration for HPC Supercapacitor Simulations
type: conference
user_id: '3145'
year: '2023'
...