Pannotia: Understanding Irregular GPGPU Graph Applications

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Provided by: University of Vigo
Topic: Hardware
Format: PDF
GPUs have become popular recently to accelerate general-purpose data-parallel applications. However, most existing work has focused on GPU-friendly applications with regular data structures and access patterns. While a few prior studies have shown that some irregular workloads can also achieve speedups on GPUs, this domain has not been investigated thoroughly. Graph applications are one such set of irregular workloads, used in many commercial and scientific domains. In particular, graph mining - as well as web and social network analysis - are promising applications that GPUs could accelerate.
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