Publication | Closed Access
Parallel Computing Experiences with CUDA
535
Citations
22
References
2008
Year
Cluster ComputingEngineeringGpu BenchmarkingComputer ArchitectureParallel ImplementationGpu ComputingHardware SecurityParallel SoftwareParallel ComputingParallel ProblemsComputer EngineeringParallel Computing ExperiencesComputer ScienceKey ComputationsGpu ClusterGpu ArchitectureCloud ComputingParallel ProgrammingData-level ParallelismSequential Codes
The CUDA programming model provides a straightforward means of describing inherently parallel computations, and NVIDIA's Tesla GPU architecture delivers high computational throughput on massively parallel problems. This article surveys experiences gained in applying CUDA to a diverse set of problems and the parallel speedups over sequential codes running on traditional CPU architectures attained by executing key computations on the GPU.
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