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QIG : quantifying the importance and interaction of GPGPU architecture parameters
(2018) IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS. 37(6). p.1211-1224 -
MIA : metric importance analysis for big data workload characterization
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Thread similarity matrix: visualizing branch divergence in GPGPU programs
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- Journal Article
- A1
- open access
ShenZhen transportation system (SZTS): a novel big data benchmark suite
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RFHOC: a random-forest approach to auto-tuning Hadoop's configuration
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Barrier-aware warp scheduling for throughput processors
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PCantorSim: accelerating parallel architecture simulation through fractal-based sampling