An intelligent semi-automatic application porting system for application accelerators

Beach, Thomas Henry ORCID: https://orcid.org/0000-0001-5610-8027 and Avis, Nicholas John 2009. An intelligent semi-automatic application porting system for application accelerators. Presented at: ACM International Conference on Computing Frontiers, Ischia, Italy, 14-16 May 2013. UCHPC-MAW '09 Proceedings of the combined workshops on UnConventional high performance computing workshop plus memory access workshop. New York, NY: ACM, pp. 7-10. 10.1145/1531666.1531669

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Abstract

Work involving the use of application acceleration devices is showing great promise, however, there are still major obstacles preventing their widespread adoption. Currently the process of porting applications to an accelerator requires expertise in both the computer science and application domains, due to the lack of abstraction available. We present our work associated with the development of a novel solution to this abstraction problem; an intelligent semi-automatic application porting system, that will allow a higher level of abstraction, to be presented to the end user, while maintaining reasonable performance levels. A prototype system has been constructed that can successfully port applications to Graphics Processing Units (GPUs) and shows promising results in terms of performance comparisons between CPU and GPU. We are presently extending our prototype to other application acceleration devices and to allow the automatic selection of the most appropriate device for an application using Machine Learning techniques. We expect our work and results will be of widespread interest to the increasing community involved in porting code to application accelerators.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Publisher:	ACM
ISBN:	9781605585574
Related URLs:	Organisation
Last Modified:	24 Oct 2022 12:03
URI:	https://orca.cardiff.ac.uk/id/eprint/50310

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