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Transparent Offloading and Mapping (TOM): Enabling Programmer-Transparent Near-Data Processing in GPU Systems., , , , , , , and . ISCA, page 204-216. IEEE Computer Society, (2016)Optimizing Multi-GPU Parallelization Strategies for Deep Learning Training., , , , , , , and . CoRR, (2019)Combining HW/SW Mechanisms to Improve NUMA Performance of Multi-GPU Systems., , , , , and . MICRO, page 339-351. IEEE Computer Society, (2018)A Case for Richer Cross-Layer Abstractions: Bridging the Semantic Gap with Expressive Memory., , , , , , , , and . ISCA, page 207-220. IEEE Computer Society, (2018)MCM-GPU: Multi-Chip-Module GPUs for Continued Performance Scalability., , , , , , , , and . ISCA, page 320-332. ACM, (2017)The Locality Descriptor: A Holistic Cross-Layer Abstraction to Express Data Locality In GPUs., , , , and . ISCA, page 829-842. IEEE Computer Society, (2018)Predicting Performance Impact of DVFS for Realistic Memory Systems., , and . MICRO, page 155-165. IEEE Computer Society, (2012)Fairness via source throttling: a configurable and high-performance fairness substrate for multi-core memory systems., , , and . ASPLOS, page 335-346. ACM, (2010)Coordinated control of multiple prefetchers in multi-core systems., , , and . MICRO, page 316-326. ACM, (2009)Flexible software profiling of GPU architectures., , , , , , , and . ISCA, page 185-197. ACM, (2015)