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StoreGPU: exploiting graphics processing units to accelerate distributed storage systems

Samer Al-Kiswany, Abdullah Gharaibeh, Elizeu Santos-Neto, George Yuan, Matei Ripeanu
Electrical and Computer Engineering Department, The University of British Columbia, Vancouver, Canada
In HPDC ’08: Proceedings of the 17th international symposium on High performance distributed computing (2008), pp. 165-174.

@conference{al2008storegpu,

   title={StoreGPU: exploiting graphics processing units to accelerate distributed storage systems},

   author={Al-Kiswany, S. and Gharaibeh, A. and Santos-Neto, E. and Yuan, G. and Ripeanu, M.},

   booktitle={Proceedings of the 17th international symposium on High performance distributed computing},

   pages={165–174},

   year={2008},

   organization={ACM}

}

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Today Graphics Processing Units (GPUs) are a largely underexploited resource on existing desktops and a possible cost-effective enhancement to high-performance systems. To date, most applications that exploit GPUs are specialized scientific applications. Little attention has been paid to harnessing these highly-parallel devices to support more generic functionality at the operating system or middleware level. This study starts from the hypothesis that generic middleware level techniques that improve distributed system reliability or performance (such as content addressing, erasure coding, or data similarity detection) can be significantly accelerated using GPU support.
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