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CLIP: Cluster-Level Intelligent Power Coordination for Power-Bounded Systems.

, , , , and . CLUSTER, page 541-551. IEEE Computer Society, (2017)

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The Paradigm of Power Bounded High-Performance Computing., , , and . J. Comput. Sci. Technol., 38 (1): 87-102 (February 2023)The Case for Cross-Component Power Coordination on Power Bounded Systems., , , and . IEEE Trans. Parallel Distributed Syst., 32 (10): 2464-2476 (2021)TunneLs for Bootlegging: Fully Reverse-Engineering GPU TLBs for Challenging Isolation Guarantees of NVIDIA MIG., , , , and . CCS, page 960-974. ACM, (2023)Demystifying GPU UVM Cost with Deep Runtime and Workload Analysis., and . IPDPS, page 141-150. IEEE, (2021)Slate: Enabling Workload-Aware Efficient Multiprocessing for Modern GPGPUs., , and . IPDPS, page 252-261. IEEE, (2019)In-depth analyses of unified virtual memory system for GPU accelerated computing., and . SC, page 64. ACM, (2021)Performance and Energy Usage of Workloads on KNL and Haswell Architectures., , , , and . PMBS@SC, volume 10724 of Lecture Notes in Computer Science, page 236-249. Springer, (2017)CLIP: Cluster-Level Intelligent Power Coordination for Power-Bounded Systems., , , , and . CLUSTER, page 541-551. IEEE Computer Society, (2017)Fine-grain Quantitative Analysis of Demand Paging in Unified Virtual Memory., , and . ACM Trans. Archit. Code Optim., 21 (1): 14:1-14:24 (March 2024)FULL-W2V: Fully Exploiting Data Reuse for W2V on GPU-Accelerated Systems., , and . CoRR, (2023)