RT info:eu-repo/semantics/conferenceObject
T1 Measuring the Impact of Configuration Parameters in CUDA Through Benchmarking
A1 Torres de la Sierra, Yuri
A1 González Escribano, Arturo
A1 Llanos Ferraris, Diego Rafael
K1 Informática
K1 Micro-benchmarks
K1 CUDA
K1 GPGPU
K1 Performance measurement
K1 1203 Ciencia de Los Ordenadores
K1 3304
AB The threadblock size and shape choice is one of the most important user decisions when a parallel problem is coded to run in GPU architectures. In fact, threadblock configuration 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 suite of micro-benchmarks, in order to explore the impact on performance derived from the combination of (1) the threadblock size and shape choice criteria, and (2) the GPU hardware resources and configurations. Each micro-benchmark has been designed as simple as possible to focus on a single effect derived from the hardware or threadblock parameter choice. As an example of the capabilities of this benchmark suite, this paper shows an experimental evaluation of the Fermi architecture, in terms of configuration parameters. This study confirms some previous experimental results and gives new insights on the influence of these parameters on the performance delivered by this GPU architecture.
PB Universidad de Salamanca
SN 978-84-615-5392-1
YR 2012
FD 2012
LK https://uvadoc.uva.es/handle/10324/71191
UL https://uvadoc.uva.es/handle/10324/71191
LA spa
NO Conference: 12th International Conference on Computational and Mathematical Methods in Science and Engineering, CMMSE 2012At: La Manga del Mar Menor, España
NO Producción Científica
DS UVaDOC
RD 22-nov-2024