Publication | Closed Access
AxBench: A Multiplatform Benchmark Suite for Approximate Computing
230
Citations
20
References
2016
Year
EngineeringGpu BenchmarkingComputer ArchitectureComputational ComplexityData ScienceHigh-performance ArchitectureApproximate ComputingAxbench SuiteParallel ComputingApproximation TheoryOutput Quality MetricsComputational EfficiencyMassively-parallel ComputingMultiplatform Benchmark SuiteComputer EngineeringComputer ScienceComputational ScienceHardware AccelerationParallel Programming
Approximate computing is claimed to be a powerful knob for alleviating the peak power and energy-efficiency issues. However, providing a consistent benchmark suit with diverse applications amenable to approximate computing is crucial to ensure fair and reproducible comparisons. This article makes an important attempt toward it in the form of the AxBench suite, which contains applications for CPUs, GPUs, and hardware design with necessary annotations to mark the approximable regions and output quality metrics. -Muhammad Shafique, Vienna University of Technology.
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