Overview of HPC benchmarks in hybrid hardware platforms (CPUs+GPUs)
Danilo Espino, Gerardo Ares, Martín Pedemonte, Pablo Ezzatti · 2016
This work studies the use of architectures that include GPUs to accelerate the most popular benchmarks in the high performance computing field, namely HPL, HPCG and the one used for the Graph500 ranking. Specifically, the installation and configuration of implementations of these benchmarks that are able to exploit the computer power of different massively parallel hardware platforms are discussed in order to provide a helpful insight on these topics to other researchers. The results obtained in the experimental evaluation show the benefits of the use of this kind of hardware architectures in computation-bounded and memory-bounded algorithms.