A MIXED APPROACH TOWARDS IMPROVING SOFTWARE PERFORMANCE OF COMPUTE UNIFIED DEVICE ARCHITECTURE APPLICATIONS

Alexandru Pîrjan ()
Additional contact information
Alexandru Pîrjan: Romanian-American University, Bucharest, Romania

Journal of Information Systems & Operations Management, 2016, vol. 10, issue 2, 448-459

Abstract: One of the most important aspects when developing applications that leverage the powerful parallel processing power of graphics processing units (GPUs) that offer support for the Compute Unified Device Architecture (CUDA) is to divide the tasks that are to be processed appropriately into sections that can be processed either serially or in parallel. The paper analyses this important developing issue by proposing a mixed approach to programming efficient software applications. The article makes an in depth analysis of the key aspects that carry significant weight when deciding to parallelize a certain part of an application: the analysis phase of the application that is about to be parallelized; the amount of time involved to achieve the implementation; the feasibility of parallelizing the source code; situations when one should aim for central processing units optimization techniques that yield better performance on sequential source code rather than parallelizing the whole algorithm.

Date: 2016
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.rebe.rau.ro/RePEc/rau/jisomg/WI16/JISOM-WI16-A17.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:rau:jisomg:v:10:y:2016:i:2:p:448-459

Access Statistics for this article

More articles in Journal of Information Systems & Operations Management from Romanian-American University Contact information at EDIRC.
Bibliographic data for series maintained by Alex Tabusca ().