GPUs and the Future of Parallel Computing
This article discusses the capabilities of state-of-the art GPU-based high-throughput computing systems and considers the challenges to scaling single-chip parallel-computing systems, highlighting high-impact areas that the computing research community can address. Nvidia Research is investigating a...
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| Veröffentlicht in: | IEEE MICRO 2011-09, Vol.31 (5), p.7-17 |
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| container_end_page | 17 |
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| container_issue | 5 |
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| container_title | IEEE MICRO |
| container_volume | 31 |
| creator | Keckler, S. W. Dally, W. J. Khailany, B. Garland, M. Glasco, D. |
| description | This article discusses the capabilities of state-of-the art GPU-based high-throughput computing systems and considers the challenges to scaling single-chip parallel-computing systems, highlighting high-impact areas that the computing research community can address. Nvidia Research is investigating an architecture for a heterogeneous high-performance computing system that seeks to address these challenges. |
| doi_str_mv | 10.1109/MM.2011.89 |
| format | Article |
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| ispartof | IEEE MICRO, 2011-09, Vol.31 (5), p.7-17 |
| issn | 0272-1732 1937-4143 |
| language | eng |
| recordid | cdi_proquest_journals_900432329 |
| source | IEEE Electronic Library (IEL) |
| subjects | Architecture Communities Computation Computer architecture energy-efficient computing GPU Graphics processing unit High performance computing Microprocessors Next generation networking Parallel processing Parallel programming Parallel-computer architecture Throughput |
| title | GPUs and the Future of Parallel Computing |
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