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Prefetch optimizations on large-scale applications via parameter value prediction., , , , , and . ICS, page 519-520. ACM, (2009)A Halide-based Synergistic Computing Framework for Heterogeneous Systems., , , and . J. Signal Process. Syst., 91 (3-4): 219-233 (2019)Reinforcement Learning for Improving the Accuracy of PM2.5 Pollution Forecast Under the Neural Network Framework., , , and . IEEE Access, (2020)Maximizing Multiprocessor Performance with the SUIF Compiler., , , , , , and . Digit. Tech. J., 10 (1): 71-80 (1998)Node2Grids: A Cost-Efficient Uncoupled Training Framework for Large-Scale Graph Learning., , , , and . CIKM, page 2281-2290. ACM, (2021)Interprocedural parallelization analysis in SUIF., , , , and . ACM Trans. Program. Lang. Syst., 27 (4): 662-731 (2005)Post-Pass Binary Adaptation for Software-Based Speculative Precomputation., , , , , and . PLDI, page 117-128. ACM, (2002)Unveiling Vulnerabilities in DAO: A Comprehensive Security Analysis and Protective Framework., , and . Blockchain, page 151-158. IEEE, (2023)High-level compute APIs and performance portability on Android.. ESTIMedia, page 1. IEEE, (2013)Design and implementation of high-level compute on Android systems., , , , , , and . ESTIMedia, page 96-104. IEEE, (2013)