Exploring the multiple-GPU design space

10 years 2 months ago
Exploring the multiple-GPU design space
Graphics Processing Units (GPUs) have been growing in popularity due to their impressive processing capabilities, and with general purpose programming languages such as NVIDIA’s CUDA interface, are becoming the platform of choice in the scientific computing community. Previous studies that used GPUs focused on obtaining significant performance gains from execution on a single GPU. These studies employed low-level, architecture-specific tuning in order to achieve sizeable benefits over multicore CPU execution. In this paper, we consider the benefits of running on multiple (parallel) GPUs to provide further orders of performance speedup. Our methodology allows developers to accurately predict execution time for GPU applications while varying the number and configuration of the GPUs, and the size of the input data set. This is a natural next step in GPU computing because it allows researchers to determine the most appropriate GPU configuration for an application without having t...
Dana Schaa, David R. Kaeli
Added 24 May 2010
Updated 24 May 2010
Type Conference
Year 2009
Where IPPS
Authors Dana Schaa, David R. Kaeli
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