Architectural considerations for FPGA acceleration of machine learning applications in MapReduce

Katayoun Neshatpour; Hosein Mohammadi Mokrani; Avesta Sasan; Hassan Ghasemzadeh; Setareh Rafatirad; Houman Homayoun

doi:10.1145/3229631.3229639

Architectural considerations for FPGA acceleration of machine learning applications in MapReduce

Katayoun Neshatpour
, Hosein Mohammadi Mokrani
, Avesta Sasan
, Hassan Ghasemzadeh
, Setareh Rafatirad
, Houman Homayoun

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English (US)
Title of host publication	Proceedings - 2018 International Conference on Embedded Computer Systems
Subtitle of host publication	Architectures, Modeling and Simulation, SAMOS 2018
Editors	Trevor Mudge, Dionisios N. Pnevmatikatos
Publisher	Association for Computing Machinery
Pages	89-96
Number of pages	8
ISBN (Electronic)	9781450364942
DOIs	https://doi.org/10.1145/3229631.3229639
State	Published - Jul 15 2018
Externally published	Yes
Event	18th Annual International conference on Embedded Computer Systems: Architectures, MOdeling and Simulation, SAMOS 2018 - Samos, Greece Duration: Jul 15 2018 → Jul 19 2018

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	18th Annual International conference on Embedded Computer Systems: Architectures, MOdeling and Simulation, SAMOS 2018
Country/Territory	Greece
City	Samos
Period	7/15/18 → 7/19/18

ASJC Scopus subject areas

Software
Human-Computer Interaction
Computer Vision and Pattern Recognition
Computer Networks and Communications

Access to Document

10.1145/3229631.3229639

Cite this

Neshatpour, K., Mokrani, H. M., Sasan, A., Ghasemzadeh, H., Rafatirad, S., & Homayoun, H. (2018). Architectural considerations for FPGA acceleration of machine learning applications in MapReduce. In T. Mudge, & D. N. Pnevmatikatos (Eds.), Proceedings - 2018 International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation, SAMOS 2018 (pp. 89-96). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3229631.3229639

Architectural considerations for FPGA acceleration of machine learning applications in MapReduce. / Neshatpour, Katayoun; Mokrani, Hosein Mohammadi; Sasan, Avesta et al.
Proceedings - 2018 International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation, SAMOS 2018. ed. / Trevor Mudge; Dionisios N. Pnevmatikatos. Association for Computing Machinery, 2018. p. 89-96 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Neshatpour, K, Mokrani, HM, Sasan, A, Ghasemzadeh, H, Rafatirad, S & Homayoun, H 2018, Architectural considerations for FPGA acceleration of machine learning applications in MapReduce. in T Mudge & DN Pnevmatikatos (eds), Proceedings - 2018 International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation, SAMOS 2018. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 89-96, 18th Annual International conference on Embedded Computer Systems: Architectures, MOdeling and Simulation, SAMOS 2018, Samos, Greece, 7/15/18. https://doi.org/10.1145/3229631.3229639

Neshatpour K, Mokrani HM, Sasan A, Ghasemzadeh H, Rafatirad S, Homayoun H. Architectural considerations for FPGA acceleration of machine learning applications in MapReduce. In Mudge T, Pnevmatikatos DN, editors, Proceedings - 2018 International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation, SAMOS 2018. Association for Computing Machinery. 2018. p. 89-96. (ACM International Conference Proceeding Series). doi: 10.1145/3229631.3229639

Neshatpour, Katayoun ; Mokrani, Hosein Mohammadi ; Sasan, Avesta et al. / Architectural considerations for FPGA acceleration of machine learning applications in MapReduce. Proceedings - 2018 International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation, SAMOS 2018. editor / Trevor Mudge ; Dionisios N. Pnevmatikatos. Association for Computing Machinery, 2018. pp. 89-96 (ACM International Conference Proceeding Series).

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ER -

Architectural considerations for FPGA acceleration of machine learning applications in MapReduce

Publication series

Conference

ASJC Scopus subject areas

Access to Document

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