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Title: A Code Generation Framework for Targeting Optimized Library Calls for Multiple Platforms
Authors: Tan, Wen Jun
Tang, Wai Teng
Goh, Rick Siow Mong
Turner, Stephen John
Wong, Weng-Fai
Keywords: OpenMP
Multicore CPU
Code generation
Issue Date: 2015
Source: Tan, 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.
Series/Report no.: IEEE Transactions on Parallel and Distributed Systems
Abstract: Directive-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.
ISSN: 1045-9219
DOI: 10.1109/TPDS.2014.2329494
Schools: School of Computer Engineering 
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: [].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Journal Articles

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