---
_id: '30908'
author:
- first_name: Hassan
full_name: Ghasemzadeh Mohammadi, Hassan
id: '61186'
last_name: Ghasemzadeh Mohammadi
- first_name: Felix
full_name: Jentzsch, Felix
id: '55631'
last_name: Jentzsch
orcid: 0000-0003-4987-5708
- first_name: Maurice
full_name: Kuschel, Maurice
last_name: Kuschel
- first_name: 'Rahil '
full_name: 'Arshad, Rahil '
last_name: Arshad
- first_name: Sneha
full_name: Rautmare, Sneha
last_name: Rautmare
- first_name: Suraj
full_name: Manjunatha, Suraj
last_name: Manjunatha
- first_name: Marco
full_name: Platzner, Marco
id: '398'
last_name: Platzner
- first_name: Alexander
full_name: Boschmann, Alexander
last_name: Boschmann
- first_name: 'Dirk '
full_name: 'Schollbach, Dirk '
last_name: Schollbach
citation:
ama: 'Ghasemzadeh Mohammadi H, Jentzsch F, Kuschel M, et al. FLight: FPGA Acceleration
of Lightweight DNN Model Inference in Industrial Analytics. In: Machine Learning
and Principles and Practice of Knowledge Discovery in Databases. Springer;
2021. doi:https://doi.org/10.1007/978-3-030-93736-2_27'
apa: 'Ghasemzadeh Mohammadi, H., Jentzsch, F., Kuschel, M., Arshad, R., Rautmare,
S., Manjunatha, S., Platzner, M., Boschmann, A., & Schollbach, D. (2021).
FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial Analytics.
Machine Learning and Principles and Practice of Knowledge Discovery in Databases.
https://doi.org/10.1007/978-3-030-93736-2_27'
bibtex: '@inproceedings{Ghasemzadeh Mohammadi_Jentzsch_Kuschel_Arshad_Rautmare_Manjunatha_Platzner_Boschmann_Schollbach_2021,
title={FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial
Analytics}, DOI={https://doi.org/10.1007/978-3-030-93736-2_27},
booktitle={ Machine Learning and Principles and Practice of Knowledge Discovery
in Databases}, publisher={Springer}, author={Ghasemzadeh Mohammadi, Hassan and
Jentzsch, Felix and Kuschel, Maurice and Arshad, Rahil and Rautmare, Sneha and
Manjunatha, Suraj and Platzner, Marco and Boschmann, Alexander and Schollbach,
Dirk }, year={2021} }'
chicago: 'Ghasemzadeh Mohammadi, Hassan, Felix Jentzsch, Maurice Kuschel, Rahil Arshad,
Sneha Rautmare, Suraj Manjunatha, Marco Platzner, Alexander Boschmann, and Dirk Schollbach.
“FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial Analytics.”
In Machine Learning and Principles and Practice of Knowledge Discovery in
Databases. Springer, 2021. https://doi.org/10.1007/978-3-030-93736-2_27.'
ieee: 'H. Ghasemzadeh Mohammadi et al., “FLight: FPGA Acceleration of Lightweight
DNN Model Inference in Industrial Analytics,” 2021, doi: https://doi.org/10.1007/978-3-030-93736-2_27.'
mla: 'Ghasemzadeh Mohammadi, Hassan, et al. “FLight: FPGA Acceleration of Lightweight
DNN Model Inference in Industrial Analytics.” Machine Learning and Principles
and Practice of Knowledge Discovery in Databases, Springer, 2021, doi:https://doi.org/10.1007/978-3-030-93736-2_27.'
short: 'H. Ghasemzadeh Mohammadi, F. Jentzsch, M. Kuschel, R. Arshad, S. Rautmare,
S. Manjunatha, M. Platzner, A. Boschmann, D. Schollbach, in: Machine Learning
and Principles and Practice of Knowledge Discovery in Databases, Springer, 2021.'
date_created: 2022-04-18T10:16:55Z
date_updated: 2023-09-15T15:09:07Z
department:
- _id: '78'
doi: https://doi.org/10.1007/978-3-030-93736-2_27
language:
- iso: eng
project:
- _id: '83'
name: 'SFB 901 - T1: SFB 901 -Subproject T1'
- _id: '1'
grant_number: '160364472'
name: 'SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen
in dynamischen Märkten '
- _id: '82'
name: 'SFB 901 - T: SFB 901 - Project Area T'
publication: ' Machine Learning and Principles and Practice of Knowledge Discovery
in Databases'
publisher: Springer
status: public
title: 'FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial
Analytics'
type: conference
user_id: '477'
year: '2021'
...
---
_id: '31132'
author:
- first_name: Andreas Peter
full_name: Dann, Andreas Peter
id: '26886'
last_name: Dann
- first_name: Henrik
full_name: Plate, Henrik
last_name: Plate
- first_name: Ben
full_name: Hermann, Ben
id: '66173'
last_name: Hermann
orcid: 0000-0001-9848-2017
- first_name: Serena Elisa
full_name: Ponta, Serena Elisa
last_name: Ponta
- first_name: Eric
full_name: Bodden, Eric
id: '59256'
last_name: Bodden
orcid: 0000-0003-3470-3647
citation:
ama: Dann AP, Plate H, Hermann B, Ponta SE, Bodden E. Identifying Challenges for
OSS Vulnerability Scanners - A Study & Test Suite. IEEE Transactions
on Software Engineering. Published online 2021:1-1. doi:10.1109/tse.2021.3101739
apa: Dann, A. P., Plate, H., Hermann, B., Ponta, S. E., & Bodden, E. (2021).
Identifying Challenges for OSS Vulnerability Scanners - A Study & Test
Suite. IEEE Transactions on Software Engineering, 1–1. https://doi.org/10.1109/tse.2021.3101739
bibtex: '@article{Dann_Plate_Hermann_Ponta_Bodden_2021, title={Identifying Challenges
for OSS Vulnerability Scanners - A Study & Test Suite}, DOI={10.1109/tse.2021.3101739},
journal={IEEE Transactions on Software Engineering}, publisher={Institute of Electrical
and Electronics Engineers (IEEE)}, author={Dann, Andreas Peter and Plate, Henrik
and Hermann, Ben and Ponta, Serena Elisa and Bodden, Eric}, year={2021}, pages={1–1}
}'
chicago: Dann, Andreas Peter, Henrik Plate, Ben Hermann, Serena Elisa Ponta, and
Eric Bodden. “Identifying Challenges for OSS Vulnerability Scanners - A Study
& Test Suite.” IEEE Transactions on Software Engineering, 2021,
1–1. https://doi.org/10.1109/tse.2021.3101739.
ieee: 'A. P. Dann, H. Plate, B. Hermann, S. E. Ponta, and E. Bodden, “Identifying
Challenges for OSS Vulnerability Scanners - A Study & Test Suite,” IEEE
Transactions on Software Engineering, pp. 1–1, 2021, doi: 10.1109/tse.2021.3101739.'
mla: Dann, Andreas Peter, et al. “Identifying Challenges for OSS Vulnerability Scanners
- A Study & Test Suite.” IEEE Transactions on Software Engineering,
Institute of Electrical and Electronics Engineers (IEEE), 2021, pp. 1–1, doi:10.1109/tse.2021.3101739.
short: A.P. Dann, H. Plate, B. Hermann, S.E. Ponta, E. Bodden, IEEE Transactions
on Software Engineering (2021) 1–1.
date_created: 2022-05-09T13:02:35Z
date_updated: 2025-11-11T14:28:46Z
department:
- _id: '76'
doi: 10.1109/tse.2021.3101739
keyword:
- Software
language:
- iso: eng
page: 1-1
project:
- _id: '107'
name: 'Reaktor: SFB 901 - Automatisierte Risikoanalyse in Bezug auf Open-Source-Abhängigkeiten
(Hektor) (Transferproject T3)'
- _id: '1'
name: 'SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen in
dynamischen Märkten'
- _id: '82'
name: 'SFB 901; Projektbereich T: Transferprojekte des Sonderforschungsbereichs'
- _id: '107'
name: 'SFB 901; TP T3: Automatisierte Risikoanalyse in Bezug auf Open-Source-Abhängigkeiten
(Hektor)'
publication: IEEE Transactions on Software Engineering
publication_identifier:
issn:
- 0098-5589
- 1939-3520
- 2326-3881
publication_status: published
publisher: Institute of Electrical and Electronics Engineers (IEEE)
status: public
title: Identifying Challenges for OSS Vulnerability Scanners - A Study & Test
Suite
type: journal_article
user_id: '477'
year: '2021'
...
---
_id: '20820'
author:
- first_name: Simon
full_name: Thiele, Simon
last_name: Thiele
citation:
ama: Thiele S. Implementing Machine Learning Functions as PYNQ FPGA Overlays.;
2020.
apa: Thiele, S. (2020). Implementing Machine Learning Functions as PYNQ FPGA
Overlays.
bibtex: '@book{Thiele_2020, title={Implementing Machine Learning Functions as PYNQ
FPGA Overlays}, author={Thiele, Simon}, year={2020} }'
chicago: Thiele, Simon. Implementing Machine Learning Functions as PYNQ FPGA
Overlays, 2020.
ieee: S. Thiele, Implementing Machine Learning Functions as PYNQ FPGA Overlays.
2020.
mla: Thiele, Simon. Implementing Machine Learning Functions as PYNQ FPGA Overlays.
2020.
short: S. Thiele, Implementing Machine Learning Functions as PYNQ FPGA Overlays,
2020.
date_created: 2020-12-21T13:59:55Z
date_updated: 2022-01-06T06:54:40Z
department:
- _id: '78'
language:
- iso: eng
project:
- _id: '1'
name: SFB 901
- _id: '82'
name: SFB 901 - Project Area T
- _id: '83'
name: SFB 901 -Subproject T1
status: public
supervisor:
- first_name: Lennart
full_name: Clausing, Lennart
id: '74287'
last_name: Clausing
orcid: 0000-0003-3789-6034
- first_name: Marco
full_name: Platzner, Marco
id: '398'
last_name: Platzner
- first_name: Christian
full_name: Plessl, Christian
id: '16153'
last_name: Plessl
orcid: 0000-0001-5728-9982
title: Implementing Machine Learning Functions as PYNQ FPGA Overlays
type: bachelorsthesis
user_id: '74287'
year: '2020'
...
---
_id: '20821'
author:
- first_name: Vivek
full_name: Jaganath, Vivek
last_name: Jaganath
citation:
ama: Jaganath V. Extension and Evaluation of Python-Based High-Level Synthesis
Tool Flows.; 2020.
apa: Jaganath, V. (2020). Extension and Evaluation of Python-based High-Level
Synthesis Tool Flows.
bibtex: '@book{Jaganath_2020, title={Extension and Evaluation of Python-based High-Level
Synthesis Tool Flows}, author={Jaganath, Vivek}, year={2020} }'
chicago: Jaganath, Vivek. Extension and Evaluation of Python-Based High-Level
Synthesis Tool Flows, 2020.
ieee: V. Jaganath, Extension and Evaluation of Python-based High-Level Synthesis
Tool Flows. 2020.
mla: Jaganath, Vivek. Extension and Evaluation of Python-Based High-Level Synthesis
Tool Flows. 2020.
short: V. Jaganath, Extension and Evaluation of Python-Based High-Level Synthesis
Tool Flows, 2020.
date_created: 2020-12-21T14:02:42Z
date_updated: 2022-01-06T06:54:40Z
department:
- _id: '78'
language:
- iso: eng
project:
- _id: '1'
name: SFB 901
- _id: '82'
name: SFB 901 - Project Area T
- _id: '83'
name: SFB 901 -Subproject T1
status: public
supervisor:
- first_name: Lennart
full_name: Clausing, Lennart
id: '74287'
last_name: Clausing
orcid: 0000-0003-3789-6034
- first_name: Marco
full_name: Platzner, Marco
id: '398'
last_name: Platzner
- first_name: Christian
full_name: Plessl, Christian
id: '16153'
last_name: Plessl
orcid: 0000-0001-5728-9982
title: Extension and Evaluation of Python-based High-Level Synthesis Tool Flows
type: mastersthesis
user_id: '74287'
year: '2020'
...
---
_id: '16487'
author:
- first_name: Jan
full_name: Bobolz, Jan
id: '27207'
last_name: Bobolz
- first_name: Fabian
full_name: Eidens, Fabian
id: '25078'
last_name: Eidens
- first_name: Stephan
full_name: Krenn, Stephan
last_name: Krenn
- first_name: Daniel
full_name: Slamanig, Daniel
last_name: Slamanig
- first_name: Christoph
full_name: Striecks, Christoph
last_name: Striecks
citation:
ama: 'Bobolz J, Eidens F, Krenn S, Slamanig D, Striecks C. Privacy-Preserving Incentive
Systems with Highly Efficient Point-Collection. In: Proceedings of the 15th
ACM Asia Conference on Computer and Communications Security (ASIA CCS ’20),.
New York, NY, USA: ACM; 2020. doi:10.1145/3320269.3384769'
apa: 'Bobolz, J., Eidens, F., Krenn, S., Slamanig, D., & Striecks, C. (2020).
Privacy-Preserving Incentive Systems with Highly Efficient Point-Collection. In
Proceedings of the 15th ACM Asia Conference on Computer and Communications
Security (ASIA CCS ’20),. New York, NY, USA: ACM. https://doi.org/10.1145/3320269.3384769'
bibtex: '@inproceedings{Bobolz_Eidens_Krenn_Slamanig_Striecks_2020, place={New York,
NY, USA}, title={Privacy-Preserving Incentive Systems with Highly Efficient Point-Collection},
DOI={10.1145/3320269.3384769},
booktitle={Proceedings of the 15th ACM Asia Conference on Computer and Communications
Security (ASIA CCS ’20),}, publisher={ACM}, author={Bobolz, Jan and Eidens, Fabian
and Krenn, Stephan and Slamanig, Daniel and Striecks, Christoph}, year={2020}
}'
chicago: 'Bobolz, Jan, Fabian Eidens, Stephan Krenn, Daniel Slamanig, and Christoph
Striecks. “Privacy-Preserving Incentive Systems with Highly Efficient Point-Collection.”
In Proceedings of the 15th ACM Asia Conference on Computer and Communications
Security (ASIA CCS ’20),. New York, NY, USA: ACM, 2020. https://doi.org/10.1145/3320269.3384769.'
ieee: J. Bobolz, F. Eidens, S. Krenn, D. Slamanig, and C. Striecks, “Privacy-Preserving
Incentive Systems with Highly Efficient Point-Collection,” in Proceedings of
the 15th ACM Asia Conference on Computer and Communications Security (ASIA CCS
’20), Taiwan, 2020.
mla: Bobolz, Jan, et al. “Privacy-Preserving Incentive Systems with Highly Efficient
Point-Collection.” Proceedings of the 15th ACM Asia Conference on Computer
and Communications Security (ASIA CCS ’20), ACM, 2020, doi:10.1145/3320269.3384769.
short: 'J. Bobolz, F. Eidens, S. Krenn, D. Slamanig, C. Striecks, in: Proceedings
of the 15th ACM Asia Conference on Computer and Communications Security (ASIA
CCS ’20), ACM, New York, NY, USA, 2020.'
conference:
location: Taiwan
name: ASIA CCS'20
date_created: 2020-04-09T10:00:29Z
date_updated: 2022-01-06T06:52:51Z
ddc:
- '000'
department:
- _id: '64'
doi: 10.1145/3320269.3384769
file:
- access_level: closed
content_type: application/pdf
creator: feidens
date_created: 2020-04-09T09:59:03Z
date_updated: 2020-04-09T09:59:03Z
file_id: '16488'
file_name: main.pdf
file_size: 553623
relation: main_file
success: 1
file_date_updated: 2020-04-09T09:59:03Z
has_accepted_license: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://eprint.iacr.org/2020/382
oa: '1'
place: New York, NY, USA
project:
- _id: '1'
name: SFB 901
- _id: '84'
name: SFB 901 -Subproject T2
- _id: '82'
name: SFB 901 - Project Area T
publication: Proceedings of the 15th ACM Asia Conference on Computer and Communications
Security (ASIA CCS ’20),
publisher: ACM
status: public
title: Privacy-Preserving Incentive Systems with Highly Efficient Point-Collection
type: conference
user_id: '477'
year: '2020'
...
---
_id: '13770'
author:
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
- first_name: Dennis
full_name: Kundisch, Dennis
id: '21117'
last_name: Kundisch
- first_name: Friedhelm
full_name: Meyer auf der Heide, Friedhelm
id: '15523'
last_name: Meyer auf der Heide
- first_name: Heike
full_name: Wehrheim, Heike
id: '573'
last_name: Wehrheim
citation:
ama: 'Karl H, Kundisch D, Meyer auf der Heide F, Wehrheim H. A Case for a New IT
Ecosystem: On-The-Fly Computing. Business & Information Systems Engineering.
2020;62(6):467-481. doi:10.1007/s12599-019-00627-x'
apa: 'Karl, H., Kundisch, D., Meyer auf der Heide, F., & Wehrheim, H. (2020).
A Case for a New IT Ecosystem: On-The-Fly Computing. Business & Information
Systems Engineering, 62(6), 467–481. https://doi.org/10.1007/s12599-019-00627-x'
bibtex: '@article{Karl_Kundisch_Meyer auf der Heide_Wehrheim_2020, title={A Case
for a New IT Ecosystem: On-The-Fly Computing}, volume={62}, DOI={10.1007/s12599-019-00627-x},
number={6}, journal={Business & Information Systems Engineering}, publisher={Springer},
author={Karl, Holger and Kundisch, Dennis and Meyer auf der Heide, Friedhelm and
Wehrheim, Heike}, year={2020}, pages={467–481} }'
chicago: 'Karl, Holger, Dennis Kundisch, Friedhelm Meyer auf der Heide, and Heike
Wehrheim. “A Case for a New IT Ecosystem: On-The-Fly Computing.” Business &
Information Systems Engineering 62, no. 6 (2020): 467–81. https://doi.org/10.1007/s12599-019-00627-x.'
ieee: 'H. Karl, D. Kundisch, F. Meyer auf der Heide, and H. Wehrheim, “A Case for
a New IT Ecosystem: On-The-Fly Computing,” Business & Information Systems
Engineering, vol. 62, no. 6, pp. 467–481, 2020, doi: 10.1007/s12599-019-00627-x.'
mla: 'Karl, Holger, et al. “A Case for a New IT Ecosystem: On-The-Fly Computing.”
Business & Information Systems Engineering, vol. 62, no. 6, Springer,
2020, pp. 467–81, doi:10.1007/s12599-019-00627-x.'
short: H. Karl, D. Kundisch, F. Meyer auf der Heide, H. Wehrheim, Business &
Information Systems Engineering 62 (2020) 467–481.
date_created: 2019-10-10T13:41:06Z
date_updated: 2022-12-02T09:27:17Z
ddc:
- '004'
department:
- _id: '276'
- _id: '75'
- _id: '63'
- _id: '77'
doi: 10.1007/s12599-019-00627-x
file:
- access_level: closed
content_type: application/pdf
creator: ups
date_created: 2019-12-12T10:24:47Z
date_updated: 2019-12-12T10:24:47Z
file_id: '15311'
file_name: Karl2019_Article_ACaseForANewITEcosystemOn-The-.pdf
file_size: 454532
relation: main_file
success: 1
file_date_updated: 2019-12-12T10:24:47Z
has_accepted_license: '1'
intvolume: ' 62'
issue: '6'
language:
- iso: eng
page: 467-481
project:
- _id: '1'
name: SFB 901
- _id: '2'
name: SFB 901 - Project Area A
- _id: '3'
name: SFB 901 - Project Area B
- _id: '4'
name: SFB 901 - Project Area C
- _id: '82'
name: SFB 901 - Project Area T
- _id: '5'
name: SFB 901 - Subproject A1
- _id: '6'
name: SFB 901 - Subproject A2
- _id: '7'
name: SFB 901 - Subproject A3
- _id: '8'
name: SFB 901 - Subproject A4
- _id: '9'
name: SFB 901 - Subproject B1
- _id: '10'
name: SFB 901 - Subproject B2
- _id: '11'
name: SFB 901 - Subproject B3
- _id: '12'
name: SFB 901 - Subproject B4
- _id: '13'
name: SFB 901 - Subproject C1
- _id: '14'
name: SFB 901 - Subproject C2
- _id: '15'
name: SFB 901 - Subproject C3
- _id: '16'
name: SFB 901 - Subproject C4
- _id: '17'
name: SFB 901 - Subproject C5
- _id: '83'
name: SFB 901 -Subproject T1
- _id: '84'
name: SFB 901 -Subproject T2
- _id: '107'
name: SFB 901 -Subproject T3
- _id: '158'
name: 'SFB 901 - T4: SFB 901 -Subproject T4'
publication: Business & Information Systems Engineering
publication_status: published
publisher: Springer
status: public
title: 'A Case for a New IT Ecosystem: On-The-Fly Computing'
type: journal_article
user_id: '477'
volume: 62
year: '2020'
...
---
_id: '20808'
author:
- first_name: Hassan
full_name: Ghasemzadeh Mohammadi, Hassan
id: '61186'
last_name: Ghasemzadeh Mohammadi
- first_name: Rahil
full_name: Arshad, Rahil
last_name: Arshad
- first_name: Sneha
full_name: Rautmare, Sneha
last_name: Rautmare
- first_name: Suraj
full_name: Manjunatha, Suraj
last_name: Manjunatha
- first_name: Maurice
full_name: Kuschel, Maurice
last_name: Kuschel
- first_name: Felix Paul
full_name: Jentzsch, Felix Paul
last_name: Jentzsch
- first_name: Marco
full_name: Platzner, Marco
id: '398'
last_name: Platzner
- first_name: Alexander
full_name: Boschmann, Alexander
last_name: Boschmann
- first_name: Dirk
full_name: Schollbach, Dirk
last_name: Schollbach
citation:
ama: 'Ghasemzadeh Mohammadi H, Arshad R, Rautmare S, et al. DeepWind: An Accurate
Wind Turbine Condition Monitoring Framework via Deep Learning on Embedded Platforms.
In: 2020 25th IEEE International Conference on Emerging Technologies and Factory
Automation (ETFA). ; 2020. doi:10.1109/etfa46521.2020.9211880'
apa: 'Ghasemzadeh Mohammadi, H., Arshad, R., Rautmare, S., Manjunatha, S., Kuschel,
M., Jentzsch, F. P., Platzner, M., Boschmann, A., & Schollbach, D. (2020).
DeepWind: An Accurate Wind Turbine Condition Monitoring Framework via Deep Learning
on Embedded Platforms. 2020 25th IEEE International Conference on Emerging
Technologies and Factory Automation (ETFA). https://doi.org/10.1109/etfa46521.2020.9211880'
bibtex: '@inproceedings{Ghasemzadeh Mohammadi_Arshad_Rautmare_Manjunatha_Kuschel_Jentzsch_Platzner_Boschmann_Schollbach_2020,
title={DeepWind: An Accurate Wind Turbine Condition Monitoring Framework via Deep
Learning on Embedded Platforms}, DOI={10.1109/etfa46521.2020.9211880},
booktitle={2020 25th IEEE International Conference on Emerging Technologies and
Factory Automation (ETFA)}, author={Ghasemzadeh Mohammadi, Hassan and Arshad,
Rahil and Rautmare, Sneha and Manjunatha, Suraj and Kuschel, Maurice and Jentzsch,
Felix Paul and Platzner, Marco and Boschmann, Alexander and Schollbach, Dirk},
year={2020} }'
chicago: 'Ghasemzadeh Mohammadi, Hassan, Rahil Arshad, Sneha Rautmare, Suraj Manjunatha,
Maurice Kuschel, Felix Paul Jentzsch, Marco Platzner, Alexander Boschmann, and
Dirk Schollbach. “DeepWind: An Accurate Wind Turbine Condition Monitoring Framework
via Deep Learning on Embedded Platforms.” In 2020 25th IEEE International Conference
on Emerging Technologies and Factory Automation (ETFA), 2020. https://doi.org/10.1109/etfa46521.2020.9211880.'
ieee: 'H. Ghasemzadeh Mohammadi et al., “DeepWind: An Accurate Wind Turbine
Condition Monitoring Framework via Deep Learning on Embedded Platforms,” 2020,
doi: 10.1109/etfa46521.2020.9211880.'
mla: 'Ghasemzadeh Mohammadi, Hassan, et al. “DeepWind: An Accurate Wind Turbine
Condition Monitoring Framework via Deep Learning on Embedded Platforms.” 2020
25th IEEE International Conference on Emerging Technologies and Factory Automation
(ETFA), 2020, doi:10.1109/etfa46521.2020.9211880.'
short: 'H. Ghasemzadeh Mohammadi, R. Arshad, S. Rautmare, S. Manjunatha, M. Kuschel,
F.P. Jentzsch, M. Platzner, A. Boschmann, D. Schollbach, in: 2020 25th IEEE International
Conference on Emerging Technologies and Factory Automation (ETFA), 2020.'
date_created: 2020-12-21T10:03:49Z
date_updated: 2023-07-09T13:08:07Z
doi: 10.1109/etfa46521.2020.9211880
language:
- iso: eng
project:
- _id: '83'
name: 'SFB 901 - T1: SFB 901 -Subproject T1'
- _id: '82'
name: 'SFB 901 - T: SFB 901 - Project Area T'
- _id: '1'
grant_number: '160364472'
name: 'SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen
in dynamischen Märkten '
publication: 2020 25th IEEE International Conference on Emerging Technologies and
Factory Automation (ETFA)
publication_identifier:
isbn:
- '9781728189567'
publication_status: published
status: public
title: 'DeepWind: An Accurate Wind Turbine Condition Monitoring Framework via Deep
Learning on Embedded Platforms'
type: conference
user_id: '398'
year: '2020'
...
---
_id: '21433'
abstract:
- lang: eng
text: "Modern machine learning (ML) techniques continue to move into the embedded
system space because traditional centralized compute resources do not suit certain
application domains, for example in mobile or real-time environments. Google’s
TensorFlow Lite (TFLite) framework supports this shift from cloud to edge computing
and makes ML inference accessible on resource-constrained devices. While it offers
the possibility to partially delegate computation to hardware accelerators, there
is no such “delegate” available to utilize the promising characteristics of reconfigurable
hardware.\r\nThis thesis incorporates modern platform FPGAs into TFLite by implementing
a modular delegate framework, which allows accelerators within the programmable
logic to take over the execution of neural network layers. To facilitate the necessary
hardware/software codesign, the FPGA delegate is based on the operating system
for reconfigurable\r\ncomputing (ReconOS), whose partial reconfiguration support
enables the instantiation of model-tailored accelerator architectures. In the
hardware back-end, a streaming-based prototype accelerator for the MobileNet model
family showcases the working order of the platform, but falls short of the desired
performance. Thus, it indicates the need for further exploration of alternative
accelerator designs, which the delegate could automatically synthesize to meet
a model’s demands."
author:
- first_name: Felix P.
full_name: Jentzsch, Felix P.
last_name: Jentzsch
citation:
ama: Jentzsch FP. Design and Implementation of a ReconOS-Based TensorFlow Lite
Delegate Architecture.; 2020.
apa: Jentzsch, F. P. (2020). Design and Implementation of a ReconOS-based TensorFlow
Lite Delegate Architecture.
bibtex: '@book{Jentzsch_2020, title={Design and Implementation of a ReconOS-based
TensorFlow Lite Delegate Architecture}, author={Jentzsch, Felix P.}, year={2020}
}'
chicago: Jentzsch, Felix P. Design and Implementation of a ReconOS-Based TensorFlow
Lite Delegate Architecture, 2020.
ieee: F. P. Jentzsch, Design and Implementation of a ReconOS-based TensorFlow
Lite Delegate Architecture. 2020.
mla: Jentzsch, Felix P. Design and Implementation of a ReconOS-Based TensorFlow
Lite Delegate Architecture. 2020.
short: F.P. Jentzsch, Design and Implementation of a ReconOS-Based TensorFlow Lite
Delegate Architecture, 2020.
date_created: 2021-03-10T07:09:14Z
date_updated: 2023-07-09T17:12:52Z
department:
- _id: '78'
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: '82'
name: 'SFB 901 - T: SFB 901 - Project Area T'
- _id: '83'
name: 'SFB 901 - T1: SFB 901 -Subproject T1'
status: public
supervisor:
- first_name: Christian
full_name: Lienen, Christian
id: '60323'
last_name: Lienen
- first_name: Marco
full_name: Platzner, Marco
id: '398'
last_name: Platzner
- first_name: Christian
full_name: Plessl, Christian
id: '16153'
last_name: Plessl
orcid: 0000-0001-5728-9982
title: Design and Implementation of a ReconOS-based TensorFlow Lite Delegate Architecture
type: mastersthesis
user_id: '398'
year: '2020'
...
---
_id: '15874'
author:
- first_name: Christian
full_name: Lienen, Christian
id: '60323'
last_name: Lienen
citation:
ama: Lienen C. Implementing a Real-Time System on a Platform FPGA Operated with
ReconOS. Universität Paderborn
apa: Lienen, C. (n.d.). Implementing a Real-time System on a Platform FPGA operated
with ReconOS. Universität Paderborn.
bibtex: '@book{Lienen, title={Implementing a Real-time System on a Platform FPGA
operated with ReconOS}, publisher={Universität Paderborn}, author={Lienen, Christian}
}'
chicago: Lienen, Christian. Implementing a Real-Time System on a Platform FPGA
Operated with ReconOS. Universität Paderborn, n.d.
ieee: C. Lienen, Implementing a Real-time System on a Platform FPGA operated
with ReconOS. Universität Paderborn.
mla: Lienen, Christian. Implementing a Real-Time System on a Platform FPGA Operated
with ReconOS. Universität Paderborn.
short: C. Lienen, Implementing a Real-Time System on a Platform FPGA Operated with
ReconOS, Universität Paderborn, n.d.
date_created: 2020-02-11T10:22:06Z
date_updated: 2023-07-31T11:58:50Z
ddc:
- '004'
department:
- _id: '78'
file:
- access_level: open_access
content_type: application/pdf
creator: clienen
date_created: 2020-07-01T11:46:49Z
date_updated: 2021-02-13T16:46:58Z
file_id: '17351'
file_name: thesis_main.pdf
file_size: 5920668
relation: main_file
file_date_updated: 2021-02-13T16:46:58Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
project:
- _id: '83'
name: 'SFB 901 - T1: SFB 901 -Subproject T1'
- _id: '82'
name: 'SFB 901 - T: SFB 901 - Project Area T'
- _id: '1'
grant_number: '160364472'
name: 'SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen
in dynamischen Märkten '
publication_status: submitted
publisher: Universität Paderborn
status: public
supervisor:
- first_name: Lennart
full_name: Clausing, Lennart
id: '74287'
last_name: Clausing
orcid: 0000-0003-3789-6034
- first_name: Marco
full_name: Platzner, Marco
id: '398'
last_name: Platzner
- first_name: Sybille
full_name: Hellebrand, Sybille
id: '209'
last_name: Hellebrand
orcid: 0000-0002-3717-3939
title: Implementing a Real-time System on a Platform FPGA operated with ReconOS
type: mastersthesis
user_id: '60323'
year: '2019'
...