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dc.contributor.authorTan, Wen Junen
dc.contributor.authorTang, Wai Tengen
dc.contributor.authorGoh, Rick Siow Mongen
dc.contributor.authorTurner, Stephen Johnen
dc.contributor.authorWong, Weng-Faien
dc.identifier.citationTan, W. J., Tang, W. T., Goh, R. S. M., Turner, S. J., & Wong, W.-F. (2015). A Code Generation Framework for Targeting Optimized Library Calls for Multiple Platforms. IEEE Transactions on Parallel and Distributed Systems, 26(7), 1789-1799.en
dc.description.abstractDirective-based programming approaches such as OpenMP and OpenACC have gained popularity due to their ease of programming. These programming models typically involve adding compiler directives to code sections such as loops in order to parallelize them for execution on multicore CPUs or GPUs. However, one problem with this approach is that existing compilers generate code directly from the annotated sections and do not make use of hardware-specific architectural features. As a result, the generated code is unable to fully exploit the capabilities of the underlying hardware. Alternatively, we propose a code generation framework in which linear algebraic operations in the annotated codes are recognized, extracted and mapped to optimized vendor-provided platform-specific library calls. We demonstrate that such an approach can result in better performance in the generated code compared to those which are generated by existing compilers. This is substantiated by experimental results on multicore CPUs and GPUs.en
dc.description.sponsorshipASTAR (Agency for Sci., Tech. and Research, S’pore)en
dc.format.extent12 p.en
dc.relation.ispartofseriesIEEE Transactions on Parallel and Distributed Systemsen
dc.rights© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [].en
dc.subjectMulticore CPUen
dc.subjectCode generationen
dc.titleA Code Generation Framework for Targeting Optimized Library Calls for Multiple Platformsen
dc.typeJournal Articleen
dc.contributor.schoolSchool of Computer Engineeringen
dc.description.versionAccepted versionen
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