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Compute Substrate for Software 2.0., , , , , , , , , and 34 other author(s). IEEE Micro, 41 (2): 50-55 (2021)Exploiting GPU peak-power and performance tradeoffs through reduced effective pipeline latency., , and . MICRO, page 74-85. ACM, (2013)Energy-efficient floating-point arithmetic for digital signal processors., , and . ACSCC, page 1823-1827. IEEE, (2011)GPUWattch: enabling energy optimizations in GPGPUs., , , , , , and . ISCA, page 487-498. ACM, (2013)Power-efficient computing for compute-intensive GPGPU applications., , and . HPCA, page 330-341. IEEE Computer Society, (2013)G-Scalar: Cost-Effective Generalized Scalar Execution Architecture for Power-Efficient GPUs., , , and . HPCA, page 601-612. IEEE Computer Society, (2017)Energy-efficient floating-point arithmetic for software-defined radio architectures., , and . ASAP, page 122-129. IEEE Computer Society, (2011)Power-efficient computing for compute-intensive GPGPU applications., , and . PACT, page 445-446. ACM, (2012)ERCBench: An Open-Source Benchmark Suite for Embedded and Reconfigurable Computing., , , , , , , , , and 1 other author(s). FPL, page 408-413. IEEE Computer Society, (2010)Low-cost scratchpad memory organizations using heterogeneous cell sizes for low-voltage operations., , and . Microprocess. Microsystems, 38 (7): 707-716 (2014)