Abstract
Users always care about performance. Although often it’s just a matter of making sure the software is doing only what it should, there are many cases where it is vital to get down to the metal and leverage the fundamental characteristics of the processor.
- Govindaraju, N.K., Gray, J., Kumar, R., Manocha, D. 2006. GPUTeraSort: High-performance graphics coprocessor sorting for large database management. Proceedings of the 2006 ACM SIGMOD International Conference on Management of Data; http://research.microsoft.com/research/pubs/view.aspx?msr_tr_id=MSR-TR-2005-183). Google ScholarDigital Library
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- Blythe, D. 2008. The Rise of the GPU. Proceedings of the IEEE 96(5).Google Scholar
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Index Terms
- Data-Parallel Computing: Data parallelism is a key concept in leveraging the power of today’s manycore GPUs.
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