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Tradeoffs between power management and tail latency in warehouse-scale applications.

, , , and . IISWC, page 31-40. IEEE Computer Society, (2014)

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Bandana: Using Non-volatile Memory for Storing Deep Learning Models., , , , , , , and . CoRR, (2018)Developer and user-transparent compiler optimization for interactive applications., , , and . PLDI, page 268-281. ACM, (2021)Revealing Compiler Heuristics Through Automated Discovery and Optimization., , , , , and . CGO, page 55-66. IEEE, (2024)Exploring Code Cache Eviction Granularities in Dynamic Optimization Systems., and . CGO, page 89-99. IEEE Computer Society, (2004)Profiling a warehouse-scale computer., , , , , , and . ISCA, page 158-169. ACM, (2015)Q-gym: An Equality Saturation Framework for DNN Inference Exploiting Weight Repetition., , , , , , , , and . PACT, page 291-303. ACM, (2022)A Lightweight Algorithm for Dynamic If-Conversion during Dynamic Optimization., and . IEEE PACT, page 71-80. IEEE Computer Society, (2000)MLPerf Training Benchmark., , , , , , , , , and 22 other author(s). MLSys, mlsys.org, (2020)Adaptive Online Context-Sensitive Inlining., and . CGO, page 253-264. IEEE Computer Society, (2003)Code Cache Management Schemes for Dynamic Optimizers., and . Interaction between Compilers and Computer Architectures, page 102-110. IEEE Computer Society, (2002)