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An Automatic Instruction-Level Parallelization of Machine CodeMARINKOVIC, V. , POPOVIC, M. , DJUKIC, M.
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parallel architectures, parallel programming, multicore processing, assembly, processor scheduling
parallel(13), code(10), parallelization(9), automatic(8), systems(7), programming(4), program(4), micro(4), data(4), architectures(4)
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About this article
Date of Publication: 2018-02-28
Volume 18, Issue 1, Year 2018, On page(s): 27 - 36
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2018.01004
Web of Science Accession Number: 000426449500004
SCOPUS ID: 85043242372
Prevailing multicores and novel manycores have made a great challenge of modern day - parallelization of embedded software that is still written as sequential. In this paper, automatic code parallelization is considered, focusing on developing a parallelization tool at the binary level as well as on the validation of this approach. The novel instruction-level parallelization algorithm for assembly code which uses the register names after SSA to find independent blocks of code and then to schedule independent blocks using METIS to achieve good load balance is developed. The sequential consistency is verified and the validation is done by measuring the program execution time on the target architecture. Great speedup, taken as the performance measure in the validation process, and optimal load balancing are achieved for multicore RISC processors with 2 to 16 cores (e.g. MIPS, MicroBlaze, etc.). In particular, for 16 cores, the average speedup is 7.92x, while in some cases it reaches 14x. An approach to automatic parallelization provided by this paper is useful to researchers and developers in the area of parallelization as the basis for further optimizations, as the back-end of a compiler, or as the code parallelization tool for an embedded system.
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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