Abstract
Field-programmable gate array (FPGA) is a promising choice as a heterogeneous computing component for energy-aware and high-performance applications. Emerging high-level synthesis (HLS) tools such as Intel FPGA Software Development Kit for Open Computing Language (OpenCL) offer a streamlined design flow to facilitate the use of FPGAs for scientists and researchers. In this paper, we focus on the optimizations of the OpenCL design of the Bob Jenkins lookup3 hash function which is used in the open source software version of Memcached. We describe in details the optimizations of the kernel on the FPGA, and evaluate the resource utilizations, performance, and performance per watt of the kernel implementations on an Arria10-based FPGA platform. The experimental results show that the optimized design can achieve 3.46X speedup in kernel execution time compared to the baseline implementation on the Nallatech 385A FPGA card that features an Arria 10 GX 1150 FPGA chip. For the performance per watt, we achieve 8 MHash/watt on the Arria 10 FPGA, which is 14X and 1.2X improvement over an Intel Xeon E5 CPU and an Nvidia K80 GPU, respectively.
Original language | English |
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Title of host publication | Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018 |
Editors | Naoki Abe, Huan Liu, Calton Pu, Xiaohua Hu, Nesreen Ahmed, Mu Qiao, Yang Song, Donald Kossmann, Bing Liu, Kisung Lee, Jiliang Tang, Jingrui He, Jeffrey Saltz |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 4736-4741 |
Number of pages | 6 |
ISBN (Electronic) | 9781538650356 |
DOIs | |
State | Published - Jul 2 2018 |
Externally published | Yes |
Event | 2018 IEEE International Conference on Big Data, Big Data 2018 - Seattle, United States Duration: Dec 10 2018 → Dec 13 2018 |
Publication series
Name | Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018 |
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Conference
Conference | 2018 IEEE International Conference on Big Data, Big Data 2018 |
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Country/Territory | United States |
City | Seattle |
Period | 12/10/18 → 12/13/18 |
Funding
The research was supported by the U.S. Department of Energy, Office of Science, under contract DE-AC02-06CH11357 and made use of the Argonne Leadership Computing Facility, a DOE Office of Science User Facility.
Keywords
- Bob Jenkins hash function
- FPGA
- OpenCL