Publication | Closed Access
MaxPair
14
Citations
27
References
2018
Year
Unknown Venue
Gpu ArchitectureEngineeringSame GpuCompute KernelGpu BenchmarkingMultiple Opencl KernelsComputer EngineeringComputer ArchitectureDifferent KernelsParallel ProgrammingComputer ScienceParallel ComputingGpu ClusterGpu Computing
Executing multiple OpenCL kernels on the same GPU concurrently is a promising method for improving hardware utilisation and system performance. Schemes of scheduling impact the resulting performance significantly by selecting different kernels to run together on the same GPU. Existing approaches use either execution time or relative speedup of kernels as a guide to group and map them to the device. However, these simple methods work on the cost of providing suboptimal performance.
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