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Control flow behavior of cloud workloads., , , и . IISWC, стр. 71-73. IEEE Computer Society, (2014)<u>G</u>PU <u>i</u>nitiated <u>O</u>penSHMEM: correct and efficient intra-kernel networking for dGPUs., и . PPoPP, стр. 336-347. ACM, (2020)Lost in Abstraction: Pitfalls of Analyzing GPUs at the Intermediate Language Level., , , , , , , , , и 6 other автор(ы). HPCA, стр. 608-619. IEEE Computer Society, (2018)Increasing GPU Translation Reach by Leveraging Under-Utilized On-Chip Resources., , , и . MICRO, стр. 1169-1181. ACM, (2021)Genesys: Automatically generating representative training sets for predictive benchmarking., , , , , , и . SAMOS, стр. 116-123. IEEE, (2016)Data partitioning strategies for graph workloads on heterogeneous clusters., , , , и . SC, стр. 56:1-56:12. ACM, (2015)Neighborhood-Aware Address Translation for Irregular GPU Applications., , , и . MICRO, стр. 352-363. IEEE Computer Society, (2018)Extended task queuing: active messages for heterogeneous systems., , , , , , , , , и 6 other автор(ы). SC, стр. 933-944. IEEE Computer Society, (2016)Case Study of Process Variation-Based Domain Partitioning of GPGPUs., , , и . ASYNC, стр. 119-120. IEEE Computer Society, (2018)Optimizing GPU Cache Policies for MI Workloads., , , , , , , , , и 2 other автор(ы). IISWC, стр. 243-248. IEEE, (2019)