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Published in:
2013 | OriginalPaper | Chapter
MGMR: Multi-GPU Based MapReduce
Authors : Yi Chen, Zhi Qiao, Hai Jiang, Kuan-Ching Li, Won Woo Ro
Published in: Grid and Pervasive Computing
Publisher: Springer Berlin Heidelberg
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MapReduce is a programming model introduced by Google for large-scale data processing. Several studies have implemented MapReduce model on Graphic Processing Unit (GPU). However, most of them are based on the single GPU and bounded by GPU memory with inefficient atomic operations. This paper intends to develop a standalone MapReduce system, called MGMR, to utilize multiple GPUs, handle large-scale data processing beyond GPU memory limit, and eliminate serial atomic operations. Experimental results have demonstrated MGMR’s effectiveness in handling large data set.