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Guidelines for enhancing data locality in selected machine learning algorithms.

, , and . Intell. Data Anal., 23 (5): 1003-1020 (2019)

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Virtual Screening on FPGA: Performance and Energy versus Effort., , , , and . CoRR, (2022)Instruction Transfer And Storage Exploration for Low Energy VLIWs., , , , and . SiPS, page 292-297. IEEE, (2006)Low Power Coarse-Grained Reconfigurable Instruction Set Processor., , , , , and . FPL, volume 2778 of Lecture Notes in Computer Science, page 230-239. Springer, (2003)Instruction Buffering Exploration for Low Energy Embedded Processors., , , , , , and . PATMOS, volume 2799 of Lecture Notes in Computer Science, page 409-419. Springer, (2003)Instruction buffering exploration for low energy VLIWs with instruction clusters., , , , , , and . ASP-DAC, page 824-829. IEEE Computer Society, (2004)Virtual Screening on FPGA., , and . BNAIC/BENELEARN, volume 2491 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)Guidelines for enhancing data locality in selected machine learning algorithms., , and . Intell. Data Anal., 23 (5): 1003-1020 (2019)A backtracking instruction scheduler using predicate-based code hoisting to fill delay slots., , and . CASES, page 229-237. ACM, (2007)Placement-and-routing-based register allocation for coarse-grained reconfigurable arrays., , , and . LCTES, page 151-160. ACM, (2008)Hard versus Soft Software Defined Radio., , , and . VLSID, page 276-281. IEEE Computer Society, (2014)