Publication | Closed Access
GPUs and the Future of Parallel Computing
652
Citations
5
References
2011
Year
Cluster ComputingResearch CommunityHeterogeneous ComputingEngineeringGpu ArchitectureGpu BenchmarkingEdge ComputingCloud ComputingComputer EngineeringComputer ArchitectureHeterogeneous SystemsSingle-chip Parallel-computing SystemsParallel ProgrammingComputer ScienceParallel ComputingGpu ClusterNvidia ResearchGpu 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 an architecture for a heterogeneous high-performance computing system that seeks to address these challenges.
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