Publication | Closed Access
Accelerating Haskell array codes with multicore GPUs
242
Citations
21
References
2011
Year
Unknown Venue
Cluster ComputingExpert KnowledgeGpu ArchitectureEngineeringGpu BenchmarkingProgram AnalysisParallel Performance EvaluationSimd ParallelismComputer ArchitectureComputer EngineeringHeterogeneous SystemsParallel ProgrammingComputer ScienceParallel ComputingGpu ClusterHaskell Array CodesGpu ComputingCurrent Gpus
Current GPUs are massively parallel multicore processors optimised for workloads with a large degree of SIMD parallelism. Good performance requires highly idiomatic programs, whose development is work intensive and requires expert knowledge.
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