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GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism., , , , , , and . CoRR, (2018)Tree partition based parallel frequent pattern mining on shared memory systems., , , , , and . IPDPS, IEEE, (2006)GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding., , , , , , , , and . CoRR, (2020)Image Classification at Supercomputer Scale., , , , and . CoRR, (2018)Scale MLPerf-0.6 models on Google TPU-v3 Pods., , , , , , , , , and 2 other author(s). CoRR, (2019)Exploring the limits of Concurrency in ML Training on Google TPUs., , , , , , , , , and 9 other author(s). CoRR, (2020)Hardware Counted Profile-Guided Optimization., , , and . CoRR, (2014)AutoFDO: automatic feedback-directed optimization for warehouse-scale applications., , and . CGO, page 12-23. ACM, (2016)CUDA-Zero: a framework for porting shared memory GPU applications to multi-GPUs., , and . Sci. China Inf. Sci., 55 (3): 663-676 (2012)Taming hardware event samples for FDO compilation., , , , , , , and . CGO, page 42-52. ACM, (2010)