Abstract
With NVIDA Tegra Jetson X1 and Pascal P100 GPUs, NVIDIA introduced hardware-based computation on FP16 numbers also called half-precision arithmetic. In this talk, we will introduce the steps required to build a viable benchmark for this new arithmetic format. This will include the connections to established IEEE floating point standards and existing HPC benchmarks. The discussion will focus on performance and numerical stability issues that are important for this kind of benchmarking and how they relate to NVIDIA platforms.
Original language | English |
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Title of host publication | 2017 IEEE High Performance Extreme Computing Conference, HPEC 2017 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781538634721 |
DOIs | |
State | Published - Oct 30 2017 |
Externally published | Yes |
Event | 2017 IEEE High Performance Extreme Computing Conference, HPEC 2017 - Waltham, United States Duration: Sep 12 2017 → Sep 14 2017 |
Publication series
Name | 2017 IEEE High Performance Extreme Computing Conference, HPEC 2017 |
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Conference
Conference | 2017 IEEE High Performance Extreme Computing Conference, HPEC 2017 |
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Country/Territory | United States |
City | Waltham |
Period | 09/12/17 → 09/14/17 |
Funding
This research was supported by the National Science Foundation through Award 1439052. Also, this research was supported by the Exascale Computing Project (17-SC-20-SC), a collaborative effort of the U.S. Department of Energy Office of Science and the National Nuclear Security Administration.