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In-depth FPGA accelerator performance evaluation with single node benchmarks from the HPC challenge benchmark suite for Intel and Xilinx FPGAs using OpenCL.
- Source :
-
Journal of Parallel & Distributed Computing . Feb2022, Vol. 160, p79-89. 11p. - Publication Year :
- 2022
-
Abstract
- • FPGA performance characterization using parametrizable OpenCL benchmarks. • High resource utilization and performance on Intel and Xilinx FPGAs. • Ability to also measure the performance of devices and tools. Emerging high-level tools lead to a reduced development time for applications on FPGA accelerators while still producing high-quality results. This is one reason for the increased adoption of FPGAs in data center applications which emphasizes the need for a benchmark suite to enable the comparison of FPGA architecture, programming tools, runtimes, and libraries. Because of the lack of such a benchmark suite, we have developed an OpenCL-based open-source implementation of the HPCC benchmark suite for Xilinx and Intel FPGAs. In an in-depth evaluation, we show that the benchmarks allow to quantify the impact of HBM2 memory in comparison to FPGAs with DDR and to analyze differences in the arithmetic units on current FPGA architectures. Power measurements indicate, that not all benchmark implementations can utilize the full potential of the FPGAs in terms of power efficiency. We are continuing to optimize and port the benchmark for new generations of FPGAs and design tools and we encourage active participation to create a valuable tool for the community. [ABSTRACT FROM AUTHOR]
- Subjects :
- *SERVER farms (Computer network management)
*ARITHMETIC
*PARTICIPATION
Subjects
Details
- Language :
- English
- ISSN :
- 07437315
- Volume :
- 160
- Database :
- Academic Search Index
- Journal :
- Journal of Parallel & Distributed Computing
- Publication Type :
- Academic Journal
- Accession number :
- 153708040
- Full Text :
- https://doi.org/10.1016/j.jpdc.2021.10.007