Scheduled System Maintenance:
On May 6th, single article purchases and IEEE account management will be unavailable from 8:00 AM - 12:00 PM ET (12:00 - 16:00 UTC). We apologize for the inconvenience.
By Topic

An evaluation of coarse grain dataflow code generation strategies

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Bohm, W. ; Dept. of Comput. Sci., Colorado State Univ., Fort Collins, CO, USA ; Najjar, W. ; Shankar, B. ; Roh, L.

Presents top-down and bottom-up methods for generating coarse grain dataflow or multithreaded code, and evaluates their effectiveness. The top-down technique generates clusters directly from the intermediate data dependence graph used for compiler optimizations. Bottom-up techniques coalesce fine-grain dataflow code into clusters. We measure the resulting number of clusters executed, cluster size, and number of inputs per cluster, for Livermore and Purdue benchmarks. The top-down method executes less clusters and instructions, but incurs a higher number of matches per cluster, which exemplifies the need for efficient matching of more than two inputs per cluster.

Published in:

Programming Models for Massively Parallel Computers, 1993. Proceedings

Date of Conference:

20-20 Sept. 1993