FPGA-accelerated simulation engine for non-viral gene delivery

D. Perlaza; A. Postula; L. Jozwiak; T. Wysocki

doi:10.1109/ICSPCS.2015.7391790

FPGA-accelerated simulation engine for non-viral gene delivery

D. Perlaza, A. Postula, L. Jozwiak, T. Wysocki

Electronic Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

Computational methods have become an important part of gene delivery research, as they allow researchers to experiment with different models of cellular processes. Models of the gene delivery process based on telecommunication theory make this experimentation especially efficient. Therefore, this paper presents a specialised FPGA-accelerated heterogeneous architecture for simulating the gene delivery process using queuing theory. We also present an implementation of a programmable M/M/∞ queue simulator, and compare its performance to that of an equivalent software simulator. We finally discuss limitations of our system and outline future work aimed at further performance improvement.

Original language	English
Title of host publication	2015, 9th International Conference on Signal Processing and Communication Systems, ICSPCS 2015 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers
ISBN (Electronic)	978-1-4673-8118-5
DOIs	https://doi.org/10.1109/ICSPCS.2015.7391790
Publication status	Published - 25 Jan 2016
Event	9th International Conference on Signal Processing and Communication Systems (ICSPCS 2015), December 14-16, 2015, Cairns, Australia - Cairns, Australia Duration: 14 Dec 2015 → 16 Dec 2015 http://dspcs-witsp.com/icspcs_2015/index.html

Conference

Conference	9th International Conference on Signal Processing and Communication Systems (ICSPCS 2015), December 14-16, 2015, Cairns, Australia
Abbreviated title	ICPCS 2015
Country/Territory	Australia
City	Cairns
Period	14/12/15 → 16/12/15
Internet address	http://dspcs-witsp.com/icspcs_2015/index.html

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10.1109/ICSPCS.2015.7391790

http://www.mendeley.com/research/fpgaaccelerated-simulation-engine-nonviral-gene-delivery

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title = "FPGA-accelerated simulation engine for non-viral gene delivery",

abstract = "Computational methods have become an important part of gene delivery research, as they allow researchers to experiment with different models of cellular processes. Models of the gene delivery process based on telecommunication theory make this experimentation especially efficient. Therefore, this paper presents a specialised FPGA-accelerated heterogeneous architecture for simulating the gene delivery process using queuing theory. We also present an implementation of a programmable M/M/∞ queue simulator, and compare its performance to that of an equivalent software simulator. We finally discuss limitations of our system and outline future work aimed at further performance improvement.",

author = "D. Perlaza and A. Postula and L. Jozwiak and T. Wysocki",

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note = "9th International Conference on Signal Processing and Communication Systems (ICSPCS 2015), December 14-16, 2015, Cairns, Australia, ICPCS 2015 ; Conference date: 14-12-2015 Through 16-12-2015",

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Perlaza, D, Postula, A, Jozwiak, L & Wysocki, T 2016, FPGA-accelerated simulation engine for non-viral gene delivery. in 2015, 9th International Conference on Signal Processing and Communication Systems, ICSPCS 2015 - Proceedings., 7391790, Institute of Electrical and Electronics Engineers, 9th International Conference on Signal Processing and Communication Systems (ICSPCS 2015), December 14-16, 2015, Cairns, Australia, Cairns, Australia, 14/12/15. https://doi.org/10.1109/ICSPCS.2015.7391790

FPGA-accelerated simulation engine for non-viral gene delivery. / Perlaza, D.; Postula, A.; Jozwiak, L. et al.
2015, 9th International Conference on Signal Processing and Communication Systems, ICSPCS 2015 - Proceedings. Institute of Electrical and Electronics Engineers, 2016. 7391790.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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T1 - FPGA-accelerated simulation engine for non-viral gene delivery

AU - Perlaza, D.

AU - Postula, A.

AU - Jozwiak, L.

AU - Wysocki, T.

PY - 2016/1/25

Y1 - 2016/1/25

N2 - Computational methods have become an important part of gene delivery research, as they allow researchers to experiment with different models of cellular processes. Models of the gene delivery process based on telecommunication theory make this experimentation especially efficient. Therefore, this paper presents a specialised FPGA-accelerated heterogeneous architecture for simulating the gene delivery process using queuing theory. We also present an implementation of a programmable M/M/∞ queue simulator, and compare its performance to that of an equivalent software simulator. We finally discuss limitations of our system and outline future work aimed at further performance improvement.

AB - Computational methods have become an important part of gene delivery research, as they allow researchers to experiment with different models of cellular processes. Models of the gene delivery process based on telecommunication theory make this experimentation especially efficient. Therefore, this paper presents a specialised FPGA-accelerated heterogeneous architecture for simulating the gene delivery process using queuing theory. We also present an implementation of a programmable M/M/∞ queue simulator, and compare its performance to that of an equivalent software simulator. We finally discuss limitations of our system and outline future work aimed at further performance improvement.

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DO - 10.1109/ICSPCS.2015.7391790

M3 - Conference contribution

AN - SCOPUS:84963642496

BT - 2015, 9th International Conference on Signal Processing and Communication Systems, ICSPCS 2015 - Proceedings

PB - Institute of Electrical and Electronics Engineers

T2 - 9th International Conference on Signal Processing and Communication Systems (ICSPCS 2015), December 14-16, 2015, Cairns, Australia

Y2 - 14 December 2015 through 16 December 2015

ER -

FPGA-accelerated simulation engine for non-viral gene delivery

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