FPGAs-as-a-Service Toolkit (FaaST)
Name
2010.08556.pdf
Description
Submitted version
Size
611.67 KB
Format
Adobe PDF
Checksum (MD5)
2daefd933a59b2041e7b183e6ec367a9
Author(s)
Rankin, Dylan
Krupa, Jeffrey
Harris, Philip
Flechas, Maria Acosta
Holzman, Burt
Klijnsma, Thomas
Pedro, Kevin
Tran, Nhan
Hauck, Scott
Hsu, Shih-Chieh
Date Issued
2020
Journal
Proceedings of H2RC 2020: 6th International Workshop on Heterogeneous High-Performance Reconfigurable Computing, Held in conjunction with SC 2020: The International Conference for High Performance Computing, Networking, Storage and Analysis
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Rankin, Dylan, Krupa, Jeffrey, Harris, Philip, Flechas, Maria Acosta, Holzman, Burt et al. 2020. "FPGAs-as-a-Service Toolkit (FaaST)." Proceedings of H2RC 2020: 6th International Workshop on Heterogeneous High-Performance Reconfigurable Computing, Held in conjunction with SC 2020: The International Conference for High Performance Computing, Networking, Storage and Analysis.
Version
Original manuscript
Abstract
Computing needs for high energy physics are already intensive and are expected to increase drastically in the coming years. In this context, heterogeneous computing, specifically as-a-service computing, has the potential for significant gains over traditional computing models. Although previous studies and packages in the field of heterogeneous computing have focused on GPUs as accelerators, FPGAs are an extremely promising option as well. A series of workflows are developed to establish the performance capabilities of FPGAs as a service. Multiple different devices and a range of algorithms for use in high energy physics are studied. For a small, dense network, the throughput can be improved by an order of magnitude with respect to GPUs as a service. For large convolutional networks, the throughput is found to be comparable to GPUs as a service. This work represents the first open-source FPGAs-as-a-service toolkit.
MIT Department
Massachusetts Institute of Technology. Department of Physics
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/H2RC51942.2020.00010
