---
_id: '45899'
author:
- first_name: Alexander
full_name: Boschmann, Alexander
last_name: Boschmann
- first_name: Lennart
full_name: Clausing, Lennart
id: '74287'
last_name: Clausing
orcid: 0000-0003-3789-6034
- first_name: Felix
full_name: Jentzsch, Felix
id: '55631'
last_name: Jentzsch
orcid: 0000-0003-4987-5708
- first_name: Hassan
full_name: Ghasemzadeh Mohammadi, Hassan
id: '61186'
last_name: Ghasemzadeh Mohammadi
- first_name: Marco
full_name: Platzner, Marco
id: '398'
last_name: Platzner
citation:
ama: 'Boschmann A, Clausing L, Jentzsch F, Ghasemzadeh Mohammadi H, Platzner M.
Flexible Industrial Analytics on Reconfigurable Systems-On-Chip. In: Haake C-J,
Meyer auf der Heide F, Platzner M, Wachsmuth H, Wehrheim H, eds. On-The-Fly
Computing -- Individualized IT-Services in Dynamic Markets. Vol 412. Verlagsschriftenreihe
des Heinz Nixdorf Instituts. Heinz Nixdorf Institut, Universität Paderborn; 2023:225-236.
doi:10.5281/zenodo.8068713'
apa: Boschmann, A., Clausing, L., Jentzsch, F., Ghasemzadeh Mohammadi, H., &
Platzner, M. (2023). Flexible Industrial Analytics on Reconfigurable Systems-On-Chip.
In C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, & H. Wehrheim
(Eds.), On-The-Fly Computing -- Individualized IT-services in dynamic markets
(Vol. 412, pp. 225–236). Heinz Nixdorf Institut, Universität Paderborn. https://doi.org/10.5281/zenodo.8068713
bibtex: '@inbook{Boschmann_Clausing_Jentzsch_Ghasemzadeh Mohammadi_Platzner_2023,
place={Paderborn}, series={Verlagsschriftenreihe des Heinz Nixdorf Instituts},
title={Flexible Industrial Analytics on Reconfigurable Systems-On-Chip}, volume={412},
DOI={10.5281/zenodo.8068713},
booktitle={On-The-Fly Computing -- Individualized IT-services in dynamic markets},
publisher={Heinz Nixdorf Institut, Universität Paderborn}, author={Boschmann,
Alexander and Clausing, Lennart and Jentzsch, Felix and Ghasemzadeh Mohammadi,
Hassan and Platzner, Marco}, editor={Haake, Claus-Jochen and Meyer auf der Heide,
Friedhelm and Platzner, Marco and Wachsmuth, Henning and Wehrheim, Heike}, year={2023},
pages={225–236}, collection={Verlagsschriftenreihe des Heinz Nixdorf Instituts}
}'
chicago: 'Boschmann, Alexander, Lennart Clausing, Felix Jentzsch, Hassan Ghasemzadeh
Mohammadi, and Marco Platzner. “Flexible Industrial Analytics on Reconfigurable
Systems-On-Chip.” In On-The-Fly Computing -- Individualized IT-Services in
Dynamic Markets, edited by Claus-Jochen Haake, Friedhelm Meyer auf der Heide,
Marco Platzner, Henning Wachsmuth, and Heike Wehrheim, 412:225–36. Verlagsschriftenreihe
Des Heinz Nixdorf Instituts. Paderborn: Heinz Nixdorf Institut, Universität Paderborn,
2023. https://doi.org/10.5281/zenodo.8068713.'
ieee: 'A. Boschmann, L. Clausing, F. Jentzsch, H. Ghasemzadeh Mohammadi, and M.
Platzner, “Flexible Industrial Analytics on Reconfigurable Systems-On-Chip,” in
On-The-Fly Computing -- Individualized IT-services in dynamic markets,
vol. 412, C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, and
H. Wehrheim, Eds. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023,
pp. 225–236.'
mla: Boschmann, Alexander, et al. “Flexible Industrial Analytics on Reconfigurable
Systems-On-Chip.” On-The-Fly Computing -- Individualized IT-Services in Dynamic
Markets, edited by Claus-Jochen Haake et al., vol. 412, Heinz Nixdorf Institut,
Universität Paderborn, 2023, pp. 225–36, doi:10.5281/zenodo.8068713.
short: 'A. Boschmann, L. Clausing, F. Jentzsch, H. Ghasemzadeh Mohammadi, M. Platzner,
in: C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, H. Wehrheim
(Eds.), On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets,
Heinz Nixdorf Institut, Universität Paderborn, Paderborn, 2023, pp. 225–236.'
date_created: 2023-07-07T08:36:58Z
date_updated: 2023-07-07T11:15:06Z
ddc:
- '004'
department:
- _id: '7'
doi: 10.5281/zenodo.8068713
editor:
- first_name: Claus-Jochen
full_name: Haake, Claus-Jochen
last_name: Haake
- first_name: Friedhelm
full_name: Meyer auf der Heide, Friedhelm
last_name: Meyer auf der Heide
- first_name: Marco
full_name: Platzner, Marco
last_name: Platzner
- first_name: Henning
full_name: Wachsmuth, Henning
last_name: Wachsmuth
- first_name: Heike
full_name: Wehrheim, Heike
last_name: Wehrheim
file:
- access_level: open_access
content_type: application/pdf
creator: florida
date_created: 2023-07-07T08:36:40Z
date_updated: 2023-07-07T11:14:23Z
file_id: '45900'
file_name: T1-Chapter-SFB-Buch-Final.pdf
file_size: 468973
relation: main_file
file_date_updated: 2023-07-07T11:14:23Z
has_accepted_license: '1'
intvolume: ' 412'
language:
- iso: eng
oa: '1'
page: 225-236
place: Paderborn
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'
publication: On-The-Fly Computing -- Individualized IT-services in dynamic markets
publisher: Heinz Nixdorf Institut, Universität Paderborn
series_title: Verlagsschriftenreihe des Heinz Nixdorf Instituts
status: public
title: Flexible Industrial Analytics on Reconfigurable Systems-On-Chip
type: book_chapter
user_id: '477'
volume: 412
year: '2023'
...
---
_id: '33990'
abstract:
- lang: eng
text: Deep neural networks (DNNs) are penetrating into a broad spectrum of applications
and replacing manual algorithmic implementations, including the radio frequency
communications domain with classical signal processing algorithms. However, the
high throughput (gigasamples per second) and low latency requirements of this
application domain pose a significant hurdle for adopting computationally demanding
DNNs. In this article, we explore highly specialized DNN inference accelerator
approaches on field-programmable gate arrays (FPGAs) for RadioML modulation classification.
Using an automated end-to-end flow for the generation of the FPGA solution, we
can easily explore a spectrum of solutions that optimize for different design
targets, including accuracy, power efficiency, resources, throughput, and latency.
By leveraging reduced precision arithmetic and customized streaming dataflow,
we demonstrate a solution that meets the application requirements and outperforms
alternative FPGA efforts by 3.5x in terms of throughput. Against modern embedded
graphics processing units (GPUs), we measure >10x higher throughput and >100x
lower latency under comparable accuracy and power envelopes.
author:
- first_name: Felix
full_name: Jentzsch, Felix
id: '55631'
last_name: Jentzsch
orcid: 0000-0003-4987-5708
- first_name: Yaman
full_name: Umuroglu, Yaman
last_name: Umuroglu
- first_name: Alessandro
full_name: Pappalardo, Alessandro
last_name: Pappalardo
- first_name: Michaela
full_name: Blott, Michaela
last_name: Blott
- first_name: Marco
full_name: Platzner, Marco
id: '398'
last_name: Platzner
citation:
ama: 'Jentzsch F, Umuroglu Y, Pappalardo A, Blott M, Platzner M. RadioML Meets FINN:
Enabling Future RF Applications With FPGA Streaming Architectures. IEEE Micro.
2022;42(6):125-133. doi:10.1109/MM.2022.3202091'
apa: 'Jentzsch, F., Umuroglu, Y., Pappalardo, A., Blott, M., & Platzner, M.
(2022). RadioML Meets FINN: Enabling Future RF Applications With FPGA Streaming
Architectures. IEEE Micro, 42(6), 125–133. https://doi.org/10.1109/MM.2022.3202091'
bibtex: '@article{Jentzsch_Umuroglu_Pappalardo_Blott_Platzner_2022, title={RadioML
Meets FINN: Enabling Future RF Applications With FPGA Streaming Architectures},
volume={42}, DOI={10.1109/MM.2022.3202091},
number={6}, journal={IEEE Micro}, publisher={IEEE}, author={Jentzsch, Felix and
Umuroglu, Yaman and Pappalardo, Alessandro and Blott, Michaela and Platzner, Marco},
year={2022}, pages={125–133} }'
chicago: 'Jentzsch, Felix, Yaman Umuroglu, Alessandro Pappalardo, Michaela Blott,
and Marco Platzner. “RadioML Meets FINN: Enabling Future RF Applications With
FPGA Streaming Architectures.” IEEE Micro 42, no. 6 (2022): 125–33. https://doi.org/10.1109/MM.2022.3202091.'
ieee: 'F. Jentzsch, Y. Umuroglu, A. Pappalardo, M. Blott, and M. Platzner, “RadioML
Meets FINN: Enabling Future RF Applications With FPGA Streaming Architectures,”
IEEE Micro, vol. 42, no. 6, pp. 125–133, 2022, doi: 10.1109/MM.2022.3202091.'
mla: 'Jentzsch, Felix, et al. “RadioML Meets FINN: Enabling Future RF Applications
With FPGA Streaming Architectures.” IEEE Micro, vol. 42, no. 6, IEEE, 2022,
pp. 125–33, doi:10.1109/MM.2022.3202091.'
short: F. Jentzsch, Y. Umuroglu, A. Pappalardo, M. Blott, M. Platzner, IEEE Micro
42 (2022) 125–133.
date_created: 2022-11-03T14:42:16Z
date_updated: 2023-04-04T15:09:17Z
department:
- _id: '78'
doi: 10.1109/MM.2022.3202091
intvolume: ' 42'
issue: '6'
language:
- iso: eng
main_file_link:
- url: https://ieeexplore.ieee.org/document/9933377
page: 125-133
project:
- _id: '52'
name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing'
publication: IEEE Micro
publication_status: published
publisher: IEEE
status: public
title: 'RadioML Meets FINN: Enabling Future RF Applications With FPGA Streaming Architectures'
type: journal_article
user_id: '55631'
volume: 42
year: '2022'
...
---
_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'
...