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ShenTu: processing multi-trillion edge graphs on millions of cores in seconds.

, , , , , , , , , , , and . SC, page 56:1-56:11. IEEE / ACM, (2018)

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Leveraging Code Snippets to Detect Variations in the Performance of HPC Systems., , , , , , , , , and . IEEE Trans. Parallel Distributed Syst., 33 (12): 3558-3574 (2022)Identifying scalability bottlenecks for large-scale parallel programs with graph analysis., , , , , and . PPoPP, page 409-410. ACM, (2020)Self-Checkpoint: An In-Memory Checkpoint Method Using Less Space and Its Practice on Fault-Tolerant HPL., , , , and . PPoPP, page 401-413. ACM, (2017)CYPRESS: Combining Static and Dynamic Analysis for Top-Down Communication Trace Compression., , , , and . SC, page 143-153. IEEE Computer Society, (2014)An Efficient In-Memory Checkpoint Method and its Practice on Fault-Tolerant HPL., , , , , and . IEEE Trans. Parallel Distributed Syst., 29 (4): 758-771 (2018)A Fast Lock for Explicit Message Passing Architectures., , , , , and . IEEE Trans. Computers, 70 (10): 1555-1568 (2021)Detecting Performance Variance for Parallel Applications Without Source Code., , , , , , , , and . IEEE Trans. Parallel Distributed Syst., 33 (10): 4239-4255 (2022)Spindle: Informed Memory Access Monitoring., , , , , and . USENIX Annual Technical Conference, page 561-574. USENIX Association, (2018)Vapro: performance variance detection and diagnosis for production-run parallel applications., , , , , , , and . PPoPP, page 150-162. ACM, (2022)Spread-n-share: improving application performance and cluster throughput with resource-aware job placement., , , , , , and . SC, page 12:1-12:15. ACM, (2019)