Abstract
This paper presents PEMAP, an automated performance estimation tool to project performance of hand-parallelized programs from sequential programs and BEMAP, a benchmark suite to measure an auto-parallelizer or even a machine's performance. BEMAP is an open-source project, and the documentations on code explanations and experimental results are also provided. Our experiments on PEMAP shows we can estimate performance of hand-parallelized programs in an error of 0.44% of sequential program's performance on average, while using BEMAP shows that the ability of an auto-parallelizer can be measured by comparing the compiled code to the handtuned parallelized OpenCL code, and therefore assisting the development of the auto-parallelizer tool.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
