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Performance Analysis of Deep Learning Workloads on Leading-edge Systems.

, , and . PMBS@SC, page 103-113. IEEE, (2019)

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Performance and Scalability Analysis of Teraflop-Scale Parallel Architectures Using Multidimensional Wavefront Applications., , and . Int. J. High Perform. Comput. Appl., 14 (4): 330-346 (2000)C-SAW: a framework for graph sampling and random walk on GPUs., , , , and . SC, page 56. IEEE/ACM, (2020)Towards an application-specific thermal energy model of current processors., , , and . E2SC@SC, page 5:1-5:10. ACM, (2015)Using Performance Modeling to Design Large-Scale Systems., , , , , , and . Computer, 42 (11): 42-49 (2009)Modeling the Impact of Silicon Photonics on Graph Analytics., , , , , , , and . NAS, page 1-11. IEEE Computer Society, (2016)Entering the petaflop era: the architecture and performance of Roadrunner., , , , , , and . SC, page 1. IEEE/ACM, (2008)On the Feasibility of Optical Circuit Switching for High Performance Computing Systems., , , , , , , , , and 3 other author(s). SC, page 16. IEEE Computer Society, (2005)Generating Performance Models for Irregular Applications., , , , and . IPDPS, page 317-326. IEEE Computer Society, (2017)Performance and Scalability Analysis of Multidimensional Wavefront Algorithms on Teraflop-Scale Architectures., , and . PPSC, (1999)Architecture - A performance comparison through benchmarking and modeling of three leading supercomputers: blue Gene/L, Red Storm, and Purple., , , , and . SC, page 74. ACM Press, (2006)