By Topic

Data-parallel programming on multicomputers

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

2 Author(s)
Quinn, M.J. ; Oregon State Univ., Corvallis, OR, USA ; Hatcher, P.J.

The inadequacies of conventional parallel languages for programming multicomputers are identified. The C* language is briefly reviewed, and a compiler that translates C* programs into C programs suitable for compilation and execution on a hypercube multicomputer is presented. Results illustrating the efficiency of executing data-parallel programs on a hypercube multicomputer are reported. They show the speedup achieved by three hand-compiled C* programs executing on an N-Cube 3200 multicomputer. The first two programs, Mandelbrot set calculation and matrix multiplication, have a high degree of parallelism and a simple control structure. The C* compiler can generate relatively straightforward code with performance comparable to hand-written C code. Results for a C* program that performs Gaussian elimination with partial pivoting are also presented and discussed.<>

Published in:

Software, IEEE  (Volume:7 ,  Issue: 5 )