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Bring orders into uncertainty: enabling efficient uncertain graph processing via novel path sampling on multi-accelerator systems.

, , , , , , , , , , , and . ICS, page 11:1-11:14. ACM, (2022)

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Learning Independent Program and Architecture Representations for Generalizable Performance Modeling., , and . CoRR, (2023)Benchmarking and Evaluating Unified Memory for OpenMP GPU Offloading., , , , and . LLVM-HPC@SC, page 6:1-6:10. ACM, (2017)GPU Taint Tracking., , , , , and . USENIX ATC, page 209-220. USENIX Association, (2017)C-SAW: a framework for graph sampling and random walk on GPUs., , , , and . SC, page 56. IEEE/ACM, (2020)Optimal bypass monitor for high performance last-level caches., , , , and . PACT, page 315-324. ACM, (2012)A Simple Yet Effective Balanced Edge Partition Model for Parallel Computing., , , , , , and . SIGMETRICS (Abstracts), page 6. ACM, (2017)An adaptive filtering mechanism for energy efficient data prefetching., , , , , and . ASP-DAC, page 332-337. IEEE, (2013)Characterizing Runtime Performance Variation in Error Detection by Duplicating Instructions., , , and . ISSRE, page 730-741. IEEE, (2023)Scalable Deep Learning-Based Microarchitecture Simulation on GPUs., , , , and . SC, page 79:1-79:15. IEEE, (2022)Dr. Top-k: delegate-centric Top-k on GPUs., , , , , , , and . SC, page 39. ACM, (2021)