Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Automated software testing of memory performance in embedded GPUs
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, The Institute of Technology. (ESLAB)
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, The Institute of Technology. (ESLAB)
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, The Institute of Technology. (ESLAB)
2014 (English)In: EMSOFT 2014, Association for Computing Machinery (ACM), 2014Conference paper (Refereed)
Abstract [en]

Embedded and real-time software is often constrained by several temporal requirements. Therefore, it is important to design embedded software that meets the required performance goal. The inception of embedded graphics processing units (GPUs) brings new light in developing high-performance embedded software which were previously not suitable for embedded platforms. Whereas GPUs use massive parallelism to obtain high throughput, the overall performance of an application running on embedded GPUs is often limited by memory performance. Therefore, a crucial problem lies in automatically detecting the inefficiency of such software developed for embedded GPUs. In this paper, we propose GUPT, a novel test generation framework that systematically explores and detects poor memory performance of applications running on embedded GPUs. In particular, we systematically combine static analysis with dynamic test generation to expose likely execution scenarios with poor memory performance. Each test case in our generated test suite reports a potential memory-performance issue, along with the detailed information to reproduce the same. We have implemented our test generation framework using GPGPU-Sim, a cycle-accurate simulator and the LLVM compiler infrastructure.We have evaluated our framework for several open-source programs. Our experiments suggest the efficacy of our framework by exposing numerous memory-performance issues in a reasonable time. We also show the usage of our framework in improving the performance of programs for embedded GPUs.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2014.
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:liu:diva-112684DOI: 10.1145/2656045.2656047Scopus ID: 2-s2.0-84910130322ISBN: 978-1-4503-3052-7 (print)OAI: oai:DiVA.org:liu-112684DiVA: diva2:769422
Conference
14th International Conference on Embedded Software (EMSOFT 2014), New Delhi, India, October 12-17, 2014
Available from: 2014-12-08 Created: 2014-12-08 Last updated: 2015-04-02Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Chattopadhyay, SudiptaEles, PetruPeng, Zebo
By organisation
Software and SystemsThe Institute of Technology
Computer and Information Science

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

Total: 171 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf