p-ray: a Parallelization Analysis Tool for Multicore Software

Saturnino Garcia, Christopher Louie, Donghwan Jeon, Sravanthi Kota Venkata, Anshuman Gupta and Michael Bedford Taylor
October 20, 2009

In this paper, we propose a novel set of techniques that allows multicore programmers and architects alike to rapidly estimate the availability of parallelism in their target programs. We present p-ray, which, given an application and the input, shows the nested relationship and availability of parallelism across different regions in complex programs, using a parallelism chart, or p-chart. P-ray also prioritizes the regions, suggesting the ordering that the programmer should attack them in, based on the estimated parallelism and the code complexity. P-ray can also estimate the kind of parallelism (TLP, DLP or ILP) that is found in each region, which allows the user to determine the available techniques are likely to work. In this paper, we show three case studies, including SpecInt's gzip, and Mat2C's capacitor, and Nasa7's Vpenta, and follow up with results which compare actual parallelization results of a benchmark suite against the results predicted by p-ray.

How to view this document

The authors of these documents have submitted their reports to this technical report series for the purpose of non-commercial dissemination of scientific work. The reports are copyrighted by the authors, and their existence in electronic format does not imply that the authors have relinquished any rights. You may copy a report for scholarly, non-commercial purposes, such as research or instruction, provided that you agree to respect the author's copyright. For information concerning the use of this document for other than research or instructional purposes, contact the authors. Other information concerning this technical report series can be obtained from the Computer Science and Engineering Department at the University of California at San Diego, techreports@cs.ucsd.edu.

[ Search ]

This server operates at UCSD Computer Science and Engineering.
Send email to webmaster@cs.ucsd.edu