DocumentCode :
3588927
Title :
AutopaR: An Automatic Parallelization Tool for Recursive Calls
Author :
Kalender, Mert Emin ; Mergenci, Cem ; Ozturk, Ozcan
Author_Institution :
Dept. of Comput. Eng., Bilkent Univ., Ankara, Turkey
fYear :
2014
Firstpage :
159
Lastpage :
165
Abstract :
Manycore systems are becoming more and more powerful with the integration of hundreds of cores on a single chip. However, writing parallel programs on these manycore systems has become a problem since the amount of available parallel tools and applications are limited. Although exploiting parallelism in software is possible, it requires different design decisions, significant programmer effort and is error prone. Different libraries and tools try to make the transition to parallelism easier, however there is no concrete system to make it transparent to software developer. To this end, our proposed tool is a step forward to improve the current state. Our approach, Autopar, specifically aims at achieving automatic parallelization of recursive applications using static program analysis. It first decides on the recursive functions of a given program. Then, it performs analysis and collects information about these recursive functions. Our analysis module automatically collects program information without requiring any modification in the program design or developer involvement. Finally, it achieves automatic parallelization by introducing necessary OpenMP pragmas in appropriate places in the application.
Keywords :
application program interfaces; multiprocessing systems; parallel processing; program control structures; program diagnostics; software engineering; AutopaR; OpenMP; automatic parallelization tool; manycore system; parallel program; recursive call; software developer; software parallelism; static program analysis; Algorithm design and analysis; Benchmark testing; Fractals; Heating; Libraries; Parallel processing; Software; automatic; manycore; parallel; recursive;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel Processing Workshops (ICCPW), 2014 43rd International Conference on
ISSN :
1530-2016
Type :
conf
DOI :
10.1109/ICPPW.2014.32
Filename :
7103450
Link To Document :
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