RT info:eu-repo/semantics/article
T1 uBench: exposing the impact of CUDA block geometry in terms of performance
A1 Torres, Yuri
A1 González Escribano, Arturo
A1 Llanos Ferraris, Diego Rafael
K1 Informática
K1 GPU
K1 Benchmarking
K1 CUDA
K1 Fermi
K1 Kepler
K1 Performance measurement
K1 1203 Ciencia de Los Ordenadores
K1 3304 Tecnología de Los Ordenadores
AB The choice of thread-block size and shape is one of the most important user decisions when a parallel problem is written for any CUDA architecture. The reason is that thread-block geometry has a significant impact on the global performance of the program. Unfortunately, the programmer has not enough information about the subtle interactions between this choice of parameters and the underlying hardware.This paper presents uBench, a complete suite of micro-benchmarks, in order to explore the impact on performance of (1) the thread-block geometry choice criteria, and (2) the GPU hardware resources and configurations. Each micro-benchmark has been designed to be as simple as possible to focus on a single effect derived from the hardware and thread-block parameter choice.As an example of the capabilities of this benchmark suite, this paper shows an experimental evaluation and comparison of Fermi and Kepler architectures. Our study reveals that, in spite of the new hardware details introduced by Kepler, the principles underlying the block geometry selection criteria are similar for both architectures.
PB Springer
SN 0920-8542
YR 2013
FD 2013
LK https://uvadoc.uva.es/handle/10324/70435
UL https://uvadoc.uva.es/handle/10324/70435
LA eng
NO The Journal of Supercomputing, ISSN 0920-8542, vol. 65, no. 3, pags. 1150-1163, September 2013
NO Producción Científica
DS UVaDOC
RD 28-nov-2024