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Learning heuristics for basic block instruction scheduling.

, , , и . J. Heuristics, 14 (6): 549-569 (2008)

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Nishant Malik

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Erla Malik-Kumberg

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Optimal Basic Block Instruction Scheduling for Multiple-Issue Processors Using Constraint Programming., , и . Int. J. Artif. Intell. Tools, 17 (1): 37-54 (2008)Constraint Programming Techniques for Optimal Instruction Scheduling.. University of Waterloo, Ontario, Canada, (2008)base-search.net (ftunivwaterloo:oai:uwspace.uwaterloo.ca:10012/3612).Spatial Based Feature Generation for Machine Learning Based Optimization Compilation.. ICMLA, стр. 925-930. IEEE Computer Society, (2010)Automatic Static Feature Generation for Compiler Optimization Problems.. Australasian Conference on Artificial Intelligence, том 7106 из Lecture Notes in Computer Science, стр. 769-778. Springer, (2011)Performance Evaluation of Deep Learning Compilers for Edge Inference., , , и . IPDPS Workshops, стр. 858-865. IEEE, (2021)Transfer Learning Across Heterogeneous Features For Efficient Tensor Program Generation., , , , , и . ExHET@PPoPP, стр. 2:1-2:6. ACM, (2023)Towards neural architecture-aware exploration of compiler optimizations in a deep learning graph compiler., , , , и . CF, стр. 244-250. ACM, (2022)ParaGraph: Weighted Graph Representation for Performance Optimization of HPC Kernels., , , , , и . CoRR, (2023)MPI-based Remote OpenMP Offloading: A More Efficient and Easy-to-use Implementation., , , и . PMAM@PPoPP, стр. 50-59. ACM, (2023)Optimal Basic Block Instruction Scheduling for Multiple-Issue Processors Using Constraing Programming., , и . ICTAI, стр. 279-287. IEEE Computer Society, (2006)