---
_id: '3362'
abstract:
- lang: eng
text: Profiling applications on a heterogeneous compute node is challenging since
the way to retrieve data from the resources and interpret them varies between
resource types and manufacturers. This holds especially true for measuring the
energy consumption. In this paper we present Ampehre, a novel open source measurement
framework that allows developers to gather comparable measurements from heterogeneous
compute nodes, e.g., nodes comprising CPU, GPU, and FPGA. We explain the architecture
of Ampehre and detail the measurement process on the example of energy measurements
on CPU and GPU. To characterize the probing effect, we quantitatively analyze
the trade-off between the accuracy of measurements and the CPU load imposed by
Ampehre. Based on this analysis, we are able to specify reasonable combinations
of sampling periods for the different resource types of a compute node.
author:
- first_name: Achim
full_name: Lösch, Achim
id: '43646'
last_name: Lösch
- first_name: Alex
full_name: Wiens, Alex
last_name: Wiens
- first_name: Marco
full_name: Platzner, Marco
id: '398'
last_name: Platzner
citation:
ama: 'Lösch A, Wiens A, Platzner M. Ampehre: An Open Source Measurement Framework
for Heterogeneous Compute Nodes. In: Proceedings of the International Conference
on Architecture of Computing Systems (ARCS). Vol 10793. Lecture Notes in Computer
Science. Cham: Springer International Publishing; 2018:73-84. doi:10.1007/978-3-319-77610-1_6'
apa: 'Lösch, A., Wiens, A., & Platzner, M. (2018). Ampehre: An Open Source Measurement
Framework for Heterogeneous Compute Nodes. In Proceedings of the International
Conference on Architecture of Computing Systems (ARCS) (Vol. 10793, pp. 73–84).
Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-77610-1_6'
bibtex: '@inproceedings{Lösch_Wiens_Platzner_2018, place={Cham}, series={Lecture
Notes in Computer Science}, title={Ampehre: An Open Source Measurement Framework
for Heterogeneous Compute Nodes}, volume={10793}, DOI={10.1007/978-3-319-77610-1_6},
booktitle={Proceedings of the International Conference on Architecture of Computing
Systems (ARCS)}, publisher={Springer International Publishing}, author={Lösch,
Achim and Wiens, Alex and Platzner, Marco}, year={2018}, pages={73–84}, collection={Lecture
Notes in Computer Science} }'
chicago: 'Lösch, Achim, Alex Wiens, and Marco Platzner. “Ampehre: An Open Source
Measurement Framework for Heterogeneous Compute Nodes.” In Proceedings of the
International Conference on Architecture of Computing Systems (ARCS), 10793:73–84.
Lecture Notes in Computer Science. Cham: Springer International Publishing, 2018.
https://doi.org/10.1007/978-3-319-77610-1_6.'
ieee: 'A. Lösch, A. Wiens, and M. Platzner, “Ampehre: An Open Source Measurement
Framework for Heterogeneous Compute Nodes,” in Proceedings of the International
Conference on Architecture of Computing Systems (ARCS), 2018, vol. 10793,
pp. 73–84.'
mla: 'Lösch, Achim, et al. “Ampehre: An Open Source Measurement Framework for Heterogeneous
Compute Nodes.” Proceedings of the International Conference on Architecture
of Computing Systems (ARCS), vol. 10793, Springer International Publishing,
2018, pp. 73–84, doi:10.1007/978-3-319-77610-1_6.'
short: 'A. Lösch, A. Wiens, M. Platzner, in: Proceedings of the International Conference
on Architecture of Computing Systems (ARCS), Springer International Publishing,
Cham, 2018, pp. 73–84.'
date_created: 2018-06-26T13:47:52Z
date_updated: 2022-01-06T06:59:13Z
ddc:
- '040'
department:
- _id: '78'
doi: 10.1007/978-3-319-77610-1_6
file:
- access_level: closed
content_type: application/pdf
creator: aloesch
date_created: 2018-06-26T13:58:28Z
date_updated: 2018-06-26T13:58:28Z
file_id: '3363'
file_name: loesch2017_arcs.pdf
file_size: 1114026
relation: main_file
success: 1
file_date_updated: 2018-06-26T13:58:28Z
has_accepted_license: '1'
intvolume: ' 10793'
page: 73-84
place: Cham
project:
- _id: '14'
name: SFB 901 - Subproject C2
- _id: '4'
name: SFB 901 - Project Area C
- _id: '1'
name: SFB 901
publication: Proceedings of the International Conference on Architecture of Computing
Systems (ARCS)
publication_identifier:
isbn:
- '9783319776095'
- '9783319776101'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer International Publishing
series_title: Lecture Notes in Computer Science
status: public
title: 'Ampehre: An Open Source Measurement Framework for Heterogeneous Compute Nodes'
type: conference
user_id: '477'
volume: 10793
year: '2018'
...
---
_id: '5547'
author:
- first_name: Achim
full_name: Lösch, Achim
id: '43646'
last_name: Lösch
- first_name: Marco
full_name: Platzner, Marco
id: '398'
last_name: Platzner
citation:
ama: 'Lösch A, Platzner M. A Highly Accurate Energy Model for Task Execution on
Heterogeneous Compute Nodes. In: 2018 IEEE 29th International Conference on
Application-Specific Systems, Architectures and Processors (ASAP). IEEE; 2018.
doi:10.1109/asap.2018.8445098'
apa: 'Lösch, A., & Platzner, M. (2018). A Highly Accurate Energy Model for Task
Execution on Heterogeneous Compute Nodes. In 2018 IEEE 29th International Conference
on Application-specific Systems, Architectures and Processors (ASAP). Milan,
Italy: IEEE. https://doi.org/10.1109/asap.2018.8445098'
bibtex: '@inproceedings{Lösch_Platzner_2018, title={A Highly Accurate Energy Model
for Task Execution on Heterogeneous Compute Nodes}, DOI={10.1109/asap.2018.8445098},
booktitle={2018 IEEE 29th International Conference on Application-specific Systems,
Architectures and Processors (ASAP)}, publisher={IEEE}, author={Lösch, Achim and
Platzner, Marco}, year={2018} }'
chicago: Lösch, Achim, and Marco Platzner. “A Highly Accurate Energy Model for Task
Execution on Heterogeneous Compute Nodes.” In 2018 IEEE 29th International
Conference on Application-Specific Systems, Architectures and Processors (ASAP).
IEEE, 2018. https://doi.org/10.1109/asap.2018.8445098.
ieee: A. Lösch and M. Platzner, “A Highly Accurate Energy Model for Task Execution
on Heterogeneous Compute Nodes,” in 2018 IEEE 29th International Conference
on Application-specific Systems, Architectures and Processors (ASAP), Milan,
Italy, 2018.
mla: Lösch, Achim, and Marco Platzner. “A Highly Accurate Energy Model for Task
Execution on Heterogeneous Compute Nodes.” 2018 IEEE 29th International Conference
on Application-Specific Systems, Architectures and Processors (ASAP), IEEE,
2018, doi:10.1109/asap.2018.8445098.
short: 'A. Lösch, M. Platzner, in: 2018 IEEE 29th International Conference on Application-Specific
Systems, Architectures and Processors (ASAP), IEEE, 2018.'
conference:
end_date: 2018-07-12
location: Milan, Italy
name: The 29th Annual IEEE International Conference on Application-specific Systems,
Architectures and Processors
start_date: 2018-07-10
date_created: 2018-11-14T09:26:53Z
date_updated: 2022-01-06T07:01:59Z
ddc:
- '040'
department:
- _id: '78'
doi: 10.1109/asap.2018.8445098
file:
- access_level: closed
content_type: application/pdf
creator: aloesch
date_created: 2018-11-14T09:40:42Z
date_updated: 2018-11-14T09:40:42Z
file_id: '5552'
file_name: loesch_asap2018.pdf
file_size: 2464949
relation: main_file
success: 1
file_date_updated: 2018-11-14T09:40:42Z
has_accepted_license: '1'
language:
- iso: eng
project:
- _id: '14'
name: SFB 901 - Subproject C2
- _id: '4'
name: SFB 901 - Project Area C
- _id: '1'
name: SFB 901
publication: 2018 IEEE 29th International Conference on Application-specific Systems,
Architectures and Processors (ASAP)
publication_identifier:
isbn:
- '9781538674796'
publication_status: published
publisher: IEEE
status: public
title: A Highly Accurate Energy Model for Task Execution on Heterogeneous Compute
Nodes
type: conference
user_id: '43646'
year: '2018'
...
---
_id: '65'
abstract:
- lang: eng
text: Heterogeneous compute nodes in form of CPUs with attached GPU and FPGA accelerators
have strongly gained interested in the last years. Applications differ in their
execution characteristics and can therefore benefit from such heterogeneous resources
in terms of performance or energy consumption. While performance optimization
has been the only goal for a long time, nowadays research is more and more focusing
on techniques to minimize energy consumption due to rising electricity costs.This
paper presents reMinMin, a novel static list scheduling approach for optimizing
the total energy consumption for a set of tasks executed on a heterogeneous compute
node. reMinMin bases on a new energy model that differentiates between static
and dynamic energy components and covers effects of accelerator tasks on the host
CPU. The required energy values are retrieved by measurements on the real computing
system. In order to evaluate reMinMin, we compare it with two reference implementations
on three task sets with different degrees of heterogeneity. In our experiments,
MinMin is consistently better than a scheduler optimizing for dynamic energy only,
which requires up to 19.43% more energy, and very close to optimal schedules.
author:
- first_name: Achim
full_name: Lösch, Achim
id: '43646'
last_name: Lösch
- first_name: Marco
full_name: Platzner, Marco
id: '398'
last_name: Platzner
citation:
ama: 'Lösch A, Platzner M. reMinMin: A Novel Static Energy-Centric List Scheduling
Approach Based on Real Measurements. In: Proceedings of the 28th Annual IEEE
International Conference on Application-Specific Systems, Architectures and Processors
(ASAP). ; 2017. doi:10.1109/ASAP.2017.7995272'
apa: 'Lösch, A., & Platzner, M. (2017). reMinMin: A Novel Static Energy-Centric
List Scheduling Approach Based on Real Measurements. In Proceedings of the
28th Annual IEEE International Conference on Application-specific Systems, Architectures
and Processors (ASAP). https://doi.org/10.1109/ASAP.2017.7995272'
bibtex: '@inproceedings{Lösch_Platzner_2017, title={reMinMin: A Novel Static Energy-Centric
List Scheduling Approach Based on Real Measurements}, DOI={10.1109/ASAP.2017.7995272},
booktitle={Proceedings of the 28th Annual IEEE International Conference on Application-specific
Systems, Architectures and Processors (ASAP)}, author={Lösch, Achim and Platzner,
Marco}, year={2017} }'
chicago: 'Lösch, Achim, and Marco Platzner. “ReMinMin: A Novel Static Energy-Centric
List Scheduling Approach Based on Real Measurements.” In Proceedings of the
28th Annual IEEE International Conference on Application-Specific Systems, Architectures
and Processors (ASAP), 2017. https://doi.org/10.1109/ASAP.2017.7995272.'
ieee: 'A. Lösch and M. Platzner, “reMinMin: A Novel Static Energy-Centric List Scheduling
Approach Based on Real Measurements,” in Proceedings of the 28th Annual IEEE
International Conference on Application-specific Systems, Architectures and Processors
(ASAP), 2017.'
mla: 'Lösch, Achim, and Marco Platzner. “ReMinMin: A Novel Static Energy-Centric
List Scheduling Approach Based on Real Measurements.” Proceedings of the 28th
Annual IEEE International Conference on Application-Specific Systems, Architectures
and Processors (ASAP), 2017, doi:10.1109/ASAP.2017.7995272.'
short: 'A. Lösch, M. Platzner, in: Proceedings of the 28th Annual IEEE International
Conference on Application-Specific Systems, Architectures and Processors (ASAP),
2017.'
date_created: 2017-10-17T12:41:04Z
date_updated: 2022-01-06T07:03:08Z
ddc:
- '040'
department:
- _id: '78'
doi: 10.1109/ASAP.2017.7995272
file:
- access_level: closed
content_type: application/pdf
creator: aloesch
date_created: 2018-11-14T09:37:55Z
date_updated: 2018-11-14T09:37:55Z
file_id: '5550'
file_name: loesch_asap2017.pdf
file_size: 467545
relation: main_file
success: 1
file_date_updated: 2018-11-14T09:37:55Z
has_accepted_license: '1'
language:
- iso: eng
project:
- _id: '1'
name: SFB 901
- _id: '14'
name: SFB 901 - Subprojekt C2
- _id: '4'
name: SFB 901 - Project Area C
publication: Proceedings of the 28th Annual IEEE International Conference on Application-specific
Systems, Architectures and Processors (ASAP)
status: public
title: 'reMinMin: A Novel Static Energy-Centric List Scheduling Approach Based on
Real Measurements'
type: conference
user_id: '477'
year: '2017'
...
---
_id: '156'
abstract:
- lang: eng
text: Many modern compute nodes are heterogeneous multi-cores that integrate several
CPU cores with fixed function or reconfigurable hardware cores. Such systems need
to adapt task scheduling and mapping to optimise for performance and energy under
varying workloads and, increasingly important, for thermal and fault management
and are thus relevant targets for self-aware computing. In this chapter, we take
up the generic reference architecture for designing self-aware and self-expressive
computing systems and refine it for heterogeneous multi-cores. We present ReconOS,
an architecture, programming model and execution environment for heterogeneous
multi-cores, and show how the components of the reference architecture can be
implemented on top of ReconOS. In particular, the unique feature of dynamic partial
reconfiguration supports self-expression through starting and terminating reconfigurable
hardware cores. We detail a case study that runs two applications on an architecture
with one CPU and 12 reconfigurable hardware cores and present self-expression
strategies for adapting under performance, temperature and even conflicting constraints.
The case study demonstrates that the reference architecture as a model for self-aware
computing is highly useful as it allows us to structure and simplify the design
process, which will be essential for designing complex future compute nodes. Furthermore,
ReconOS is used as a base technology for flexible protocol stacks in Chapter 10,
an approach for self-aware computing at the networking level.
author:
- first_name: Andreas
full_name: Agne, Andreas
last_name: Agne
- first_name: Markus
full_name: Happe, Markus
last_name: Happe
- first_name: Achim
full_name: Lösch, Achim
id: '43646'
last_name: Lösch
- first_name: Christian
full_name: Plessl, Christian
id: '16153'
last_name: Plessl
orcid: 0000-0001-5728-9982
- first_name: Marco
full_name: Platzner, Marco
id: '398'
last_name: Platzner
citation:
ama: 'Agne A, Happe M, Lösch A, Plessl C, Platzner M. Self-aware Compute Nodes.
In: Self-Aware Computing Systems. Natural Computing Series (NCS). Springer
International Publishing; 2016:145-165. doi:10.1007/978-3-319-39675-0_8'
apa: Agne, A., Happe, M., Lösch, A., Plessl, C., & Platzner, M. (2016). Self-aware
Compute Nodes. In Self-aware Computing Systems (pp. 145–165). Springer
International Publishing. https://doi.org/10.1007/978-3-319-39675-0_8
bibtex: '@inbook{Agne_Happe_Lösch_Plessl_Platzner_2016, place={Cham}, series={Natural
Computing Series (NCS)}, title={Self-aware Compute Nodes}, DOI={10.1007/978-3-319-39675-0_8},
booktitle={Self-aware Computing Systems}, publisher={Springer International Publishing},
author={Agne, Andreas and Happe, Markus and Lösch, Achim and Plessl, Christian
and Platzner, Marco}, year={2016}, pages={145–165}, collection={Natural Computing
Series (NCS)} }'
chicago: 'Agne, Andreas, Markus Happe, Achim Lösch, Christian Plessl, and Marco
Platzner. “Self-Aware Compute Nodes.” In Self-Aware Computing Systems,
145–65. Natural Computing Series (NCS). Cham: Springer International Publishing,
2016. https://doi.org/10.1007/978-3-319-39675-0_8.'
ieee: 'A. Agne, M. Happe, A. Lösch, C. Plessl, and M. Platzner, “Self-aware Compute
Nodes,” in Self-aware Computing Systems, Cham: Springer International Publishing,
2016, pp. 145–165.'
mla: Agne, Andreas, et al. “Self-Aware Compute Nodes.” Self-Aware Computing Systems,
Springer International Publishing, 2016, pp. 145–65, doi:10.1007/978-3-319-39675-0_8.
short: 'A. Agne, M. Happe, A. Lösch, C. Plessl, M. Platzner, in: Self-Aware Computing
Systems, Springer International Publishing, Cham, 2016, pp. 145–165.'
date_created: 2017-10-17T12:41:22Z
date_updated: 2023-09-26T13:27:44Z
ddc:
- '040'
department:
- _id: '518'
- _id: '27'
- _id: '78'
doi: 10.1007/978-3-319-39675-0_8
file:
- access_level: closed
content_type: application/pdf
creator: aloesch
date_created: 2018-11-14T13:20:32Z
date_updated: 2018-11-14T13:20:32Z
file_id: '5613'
file_name: chapter8.pdf
file_size: 833054
relation: main_file
success: 1
file_date_updated: 2018-11-14T13:20:32Z
has_accepted_license: '1'
language:
- iso: eng
page: 145-165
place: Cham
project:
- _id: '1'
grant_number: '160364472'
name: SFB 901
- _id: '14'
grant_number: '160364472'
name: SFB 901 - Subprojekt C2
- _id: '4'
name: SFB 901 - Project Area C
- _id: '31'
grant_number: '257906'
name: Engineering Proprioception in Computing Systems
publication: Self-aware Computing Systems
publisher: Springer International Publishing
quality_controlled: '1'
series_title: Natural Computing Series (NCS)
status: public
title: Self-aware Compute Nodes
type: book_chapter
user_id: '15278'
year: '2016'
...
---
_id: '168'
abstract:
- lang: eng
text: The use of heterogeneous computing resources, such as Graphic Processing Units
or other specialized coprocessors, has become widespread in recent years because
of their per- formance and energy efficiency advantages. Approaches for managing
and scheduling tasks to heterogeneous resources are still subject to research.
Although queuing systems have recently been extended to support accelerator resources,
a general solution that manages heterogeneous resources at the operating system-
level to exploit a global view of the system state is still missing.In this paper
we present a user space scheduler that enables task scheduling and migration on
heterogeneous processing resources in Linux. Using run queues for available resources
we perform scheduling decisions based on the system state and on task characterization
from earlier measurements. With a pro- gramming pattern that supports the integration
of checkpoints into applications, we preempt tasks and migrate them between three
very different compute resources. Considering static and dynamic workload scenarios,
we show that this approach can gain up to 17% performance, on average 7%, by effectively
avoiding idle resources. We demonstrate that a work-conserving strategy without
migration is no suitable alternative.
author:
- first_name: Achim
full_name: Lösch, Achim
id: '43646'
last_name: Lösch
- first_name: Tobias
full_name: Beisel, Tobias
last_name: Beisel
- first_name: Tobias
full_name: Kenter, Tobias
id: '3145'
last_name: Kenter
- first_name: Christian
full_name: Plessl, Christian
id: '16153'
last_name: Plessl
orcid: 0000-0001-5728-9982
- first_name: Marco
full_name: Platzner, Marco
id: '398'
last_name: Platzner
citation:
ama: 'Lösch A, Beisel T, Kenter T, Plessl C, Platzner M. Performance-centric scheduling
with task migration for a heterogeneous compute node in the data center. In: Proceedings
of the 2016 Design, Automation & Test in Europe Conference & Exhibition
(DATE). EDA Consortium / IEEE; 2016:912-917.'
apa: Lösch, A., Beisel, T., Kenter, T., Plessl, C., & Platzner, M. (2016). Performance-centric
scheduling with task migration for a heterogeneous compute node in the data center.
Proceedings of the 2016 Design, Automation & Test in Europe Conference
& Exhibition (DATE), 912–917.
bibtex: '@inproceedings{Lösch_Beisel_Kenter_Plessl_Platzner_2016, title={Performance-centric
scheduling with task migration for a heterogeneous compute node in the data center},
booktitle={Proceedings of the 2016 Design, Automation & Test in Europe Conference
& Exhibition (DATE)}, publisher={EDA Consortium / IEEE}, author={Lösch, Achim
and Beisel, Tobias and Kenter, Tobias and Plessl, Christian and Platzner, Marco},
year={2016}, pages={912–917} }'
chicago: Lösch, Achim, Tobias Beisel, Tobias Kenter, Christian Plessl, and Marco
Platzner. “Performance-Centric Scheduling with Task Migration for a Heterogeneous
Compute Node in the Data Center.” In Proceedings of the 2016 Design, Automation
& Test in Europe Conference & Exhibition (DATE), 912–17. EDA Consortium
/ IEEE, 2016.
ieee: A. Lösch, T. Beisel, T. Kenter, C. Plessl, and M. Platzner, “Performance-centric
scheduling with task migration for a heterogeneous compute node in the data center,”
in Proceedings of the 2016 Design, Automation & Test in Europe Conference
& Exhibition (DATE), 2016, pp. 912–917.
mla: Lösch, Achim, et al. “Performance-Centric Scheduling with Task Migration for
a Heterogeneous Compute Node in the Data Center.” Proceedings of the 2016 Design,
Automation & Test in Europe Conference & Exhibition (DATE), EDA Consortium
/ IEEE, 2016, pp. 912–17.
short: 'A. Lösch, T. Beisel, T. Kenter, C. Plessl, M. Platzner, in: Proceedings
of the 2016 Design, Automation & Test in Europe Conference & Exhibition
(DATE), EDA Consortium / IEEE, 2016, pp. 912–917.'
date_created: 2017-10-17T12:41:24Z
date_updated: 2023-09-26T13:27:00Z
ddc:
- '040'
department:
- _id: '27'
- _id: '518'
- _id: '78'
file:
- access_level: closed
content_type: application/pdf
creator: florida
date_created: 2018-03-21T12:41:55Z
date_updated: 2018-03-21T12:41:55Z
file_id: '1541'
file_name: 168-07459438.pdf
file_size: 261356
relation: main_file
success: 1
file_date_updated: 2018-03-21T12:41:55Z
has_accepted_license: '1'
language:
- iso: eng
page: 912-917
project:
- _id: '1'
grant_number: '160364472'
name: SFB 901
- _id: '14'
grant_number: '160364472'
name: SFB 901 - Subprojekt C2
- _id: '4'
name: SFB 901 - Project Area C
- _id: '30'
grant_number: 01|H11004A
name: Enabling Heterogeneous Hardware Acceleration using Novel Programming and Scheduling
Models
publication: Proceedings of the 2016 Design, Automation & Test in Europe Conference
& Exhibition (DATE)
publisher: EDA Consortium / IEEE
quality_controlled: '1'
status: public
title: Performance-centric scheduling with task migration for a heterogeneous compute
node in the data center
type: conference
user_id: '15278'
year: '2016'
...
---
_id: '365'
abstract:
- lang: eng
text: Self-aware computing is a paradigm for structuring and simplifying the design
and operation of computing systems that face unprecedented levels of system dynamics
and thus require novel forms of adaptivity. The generality of the paradigm makes
it applicable to many types of computing systems and, previously, researchers
started to introduce concepts of self-awareness to multicore architectures. In
our work we build on a recent reference architectural framework as a model for
self-aware computing and instantiate it for an FPGA-based heterogeneous multicore
running the ReconOS reconfigurable architecture and operating system. After presenting
the model for self-aware computing and ReconOS, we demonstrate with a case study
how a multicore application built on the principle of self-awareness, autonomously
adapts to changes in the workload and system state. Our work shows that the reference
architectural framework as a model for self-aware computing can be practically
applied and allows us to structure and simplify the design process, which is essential
for designing complex future computing systems.
article_number: '13'
author:
- first_name: Andreas
full_name: Agne, Andreas
last_name: Agne
- first_name: Markus
full_name: Happe, Markus
last_name: Happe
- first_name: Achim
full_name: Lösch, Achim
id: '43646'
last_name: Lösch
- first_name: Christian
full_name: Plessl, Christian
id: '16153'
last_name: Plessl
orcid: 0000-0001-5728-9982
- first_name: Marco
full_name: Platzner, Marco
id: '398'
last_name: Platzner
citation:
ama: Agne A, Happe M, Lösch A, Plessl C, Platzner M. Self-awareness as a Model for
Designing and Operating Heterogeneous Multicores. ACM Transactions on Reconfigurable
Technology and Systems (TRETS). 2014;7(2). doi:10.1145/2617596
apa: Agne, A., Happe, M., Lösch, A., Plessl, C., & Platzner, M. (2014). Self-awareness
as a Model for Designing and Operating Heterogeneous Multicores. ACM Transactions
on Reconfigurable Technology and Systems (TRETS), 7(2), Article 13.
https://doi.org/10.1145/2617596
bibtex: '@article{Agne_Happe_Lösch_Plessl_Platzner_2014, title={Self-awareness as
a Model for Designing and Operating Heterogeneous Multicores}, volume={7}, DOI={10.1145/2617596}, number={213}, journal={ACM
Transactions on Reconfigurable Technology and Systems (TRETS)}, publisher={ACM},
author={Agne, Andreas and Happe, Markus and Lösch, Achim and Plessl, Christian
and Platzner, Marco}, year={2014} }'
chicago: Agne, Andreas, Markus Happe, Achim Lösch, Christian Plessl, and Marco Platzner.
“Self-Awareness as a Model for Designing and Operating Heterogeneous Multicores.”
ACM Transactions on Reconfigurable Technology and Systems (TRETS) 7, no.
2 (2014). https://doi.org/10.1145/2617596.
ieee: 'A. Agne, M. Happe, A. Lösch, C. Plessl, and M. Platzner, “Self-awareness
as a Model for Designing and Operating Heterogeneous Multicores,” ACM Transactions
on Reconfigurable Technology and Systems (TRETS), vol. 7, no. 2, Art. no.
13, 2014, doi: 10.1145/2617596.'
mla: Agne, Andreas, et al. “Self-Awareness as a Model for Designing and Operating
Heterogeneous Multicores.” ACM Transactions on Reconfigurable Technology and
Systems (TRETS), vol. 7, no. 2, 13, ACM, 2014, doi:10.1145/2617596.
short: A. Agne, M. Happe, A. Lösch, C. Plessl, M. Platzner, ACM Transactions on
Reconfigurable Technology and Systems (TRETS) 7 (2014).
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