Our news editors obtained a quote from the research, "Our research efforts, as demonstrated in this paper, face this challenge directly by providing an innovative toolset that helps software developers profile and parallelize an existing sequential implementation, by exploiting top-level pipeline-style parallelism. The innovation of our approach is based on the facts that (a) we use both automatic and profiling-driven estimates of the available parallelism, (b) we refine those estimates using metric-driven verification techniques, and © we support dynamic recovery of excessively optimistic parallelization."
According to the news editors, the research concluded: "The proposed toolset has been utilized to find an efficient parallel code organization for a number of real-world representative applications, and a version of the toolset is provided in an open-source manner."
For more information on this research see: HEAP: A Highly Efficient Adaptive multi-Processor framework. Microprocessors and Microsystems, 2013;37(8):1050-1062. Microprocessors and Microsystems can be contacted at: Elsevier Science Bv, PO Box 211, 1000 Ae
The news editors report that additional information may be obtained by contacting
Keywords for this news article include:
Our reports deliver fact-based news of research and discoveries from around the world. Copyright 2014, NewsRx LLC
Most Popular Stories
- Reid: Bundy Backers Are 'Domestic Terrorists'
- Twitter Offers App Install Ads
- Judge Tells Dad to Quit Emailing His Kids in All Caps
- Legalize Marijuana But Not Hard Drugs, Say Americans
- Michaels Data Breach May Affect 2.6 Million Cards
- Gabriel Garcia Marquez Dies at 87
- 'Boats 'N Hoes' PAC Sunk by Complaint
- Natural Gas Shoots Up on Bullish Stockpile Report
- Naya Rivera and Lea Michele: The 'Glee' Fight That Never Was?
- Chipotle Plans First Price Rise in 3 Years