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A Hardware-Driven Profiling Scheme for Identifying Program Hot Spots to Support Runtime Optimization.

, , , , and . ISCA, page 136-147. IEEE Computer Society, (1999)

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Tool Gear: Infrastructure for Parallel Tools., and . PDPTA, page 231-240. CSREA Press, (2003)A Study of Code Reuse and Sharing Characteristics of Java Applications, , , and . WWC '98: Proceedings of the Workload Characterization: Methodology and Case Studies, page 27. Washington, DC, USA, IEEE Computer Society, (1998)Enabling rapid COVID-19 small molecule drug design through scalable deep learning of generative models., , , , , , , , , and 2 other author(s). Int. J. High Perform. Comput. Appl., (2021)An Efficient Framework for Performing Execution-Constraint-Sensitive Transformations That Increase Instruction-Level Parallelism. University of Illinois Urbana-Champaign, USA, (1997)Trimaran: An Infrastructure for Research in Instruction-Level Parallelism., , , , , and . LCPC, volume 3602 of Lecture Notes in Computer Science, page 32-41. Springer, (2004)CLOMP: Accurately Characterizing OpenMP Application Overheads., , and . Int. J. Parallel Program., 37 (3): 250-265 (2009)Enabling Region Merging Optimizations in OpenMP., , , , and . IWOMP, volume 9342 of Lecture Notes in Computer Science, page 177-188. Springer, (2015)Speculative execution exception recovery using write-back suppression., , , , and . MICRO, page 214-223. ACM / IEEE Computer Society, (1993)A study of the cache and branch performance issues with running Java on current hardware platforms., , , , and . COMPCON, page 211-216. IEEE Computer Society, (1997)An Architectural Framework for Runtime Optimization., , , , , , and . IEEE Trans. Computers, 50 (6): 567-589 (2001)