Preliminary Results of Autotuning GEMM Kernels for the NVIDIA Kepler Architecture- GeForce GTX 680

Technical Report · Sun Apr 01 00:00:00 EDT 2012

DOI:https://doi.org/10.2172/1173292· OSTI ID:1173292

Kurzak, Jakub ^[1]; Luszczek, Pitor ^[1]; Tomov, Stanimire ^[1]; Dongarra, Jack ^[2]

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1. Univ. of Tennessee, Knoxville, TN (United States)
2. Univ. of Tennessee, Knoxville, TN (United States); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Univ. of Manchester (United Kingdom)

Kepler is the newest GPU architecture from NVIDIA, and the GTX 680 is the first commercially available graphics card based on that architecture. Matrix multiplication is a canonical computational kernel, and often the main target of initial optimization efforts for a new chip. This article presents preliminary results of automatically tuning matrix multiplication kernels for the Kepler architecture using the GTX 680 card.

• Research Organization: Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
• Sponsoring Organization: USDOE Office of Science (SC)
• DOE Contract Number: AC02-05CH11231
• OSTI ID: 1173292
• Report Number(s): LBNL-5788E
• Country of Publication: United States
• Language: English

Related Subjects

97 MATHEMATICS AND COMPUTING