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Analyzing power efficiency of optimization techniques and algorithm design methods for applications on heterogeneous platforms.

, , , , and . Int. J. High Perform. Comput. Appl., 28 (3): 319-334 (2014)

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Performance Evaluation and Optimization Mechanisms for Inter-operable Graphics and Computation on GPUs., , and . GPGPU@ASPLOS, page 37. ACM, (2014)Quantifying the energy efficiency of FFT on heterogeneous platforms., , , , and . ISPASS, page 235-244. IEEE Computer Society, (2013)NUPAR: A Benchmark Suite for Modern GPU Architectures., , , , , , , , , and . ICPE, page 253-264. ACM, (2015)Valkyrie: Leveraging Inter-TLB Locality to Enhance GPU Performance., , , , , , , , and . PACT, page 455-466. ACM, (2020)Performance of the NVIDIA Jetson TK1 in HPC., , , and . CLUSTER, page 533-534. IEEE Computer Society, (2015)Analyzing Optimization Techniques for Power Efficiency on Heterogeneous Platforms., and . IPDPS Workshops, page 1040-1049. IEEE, (2013)Mystic: Predictive Scheduling for GPU Based Cloud Servers Using Machine Learning., , and . IPDPS, page 353-362. IEEE Computer Society, (2016)Exploring the features of OpenCL 2.0., , , , , , , and . IWOCL, page 5:1-5:5. ACM, (2015)Exploring the Heterogeneous Design Space for both Performance and Reliability., , , , , , , and . DAC, page 181:1-181:6. ACM, (2014)Griffin: Hardware-Software Support for Efficient Page Migration in Multi-GPU Systems., , , , , , , , , and . HPCA, page 596-609. IEEE, (2020)