Publication | Closed Access
Algorithm and Data Optimization Techniques for Scaling to Massively Threaded Systems
49
Citations
3
References
2012
Year
Future ScalabilityEngineeringComputer ArchitectureMultithreading (Computer Architecture)Embedded SystemsMassively Threaded SystemsHardware SystemsParallel AlgorithmsGpu ComputingApplicable KernelsComputing SystemsSystems EngineeringParallel ComputingMassively-parallel ComputingComputer EngineeringComputer ScienceData Optimization TechniquesScalable ComputingPerformance ScalabilityGpu ArchitectureParallel Performance EvaluationMany-core ArchitectureParallel Programming
A study of the implementation patterns among massively threaded applications for many-core GPUs reveals that each of the seven most commonly used algorithm and data optimization techniques can enhance the performance of applicable kernels by 2 to 10× in current processors while also improving future scalability.
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