Principles of runtime support for parallel processors

  • Authors:
  • R. Mirchandaney;J. H. Saltz;R. M. Smith;D. M. Nico;K. Crowley

  • Affiliations:
  • Yale Univ., New Haven, CT;Yale Univ., New Haven, CT;Yale Univ., New Haven, CT;College of William and Mary, Williamsburg, VA;Yale Univ., New Haven, CT

  • Venue:
  • ICS '88 Proceedings of the 2nd international conference on Supercomputing
  • Year:
  • 1988

Quantified Score

Hi-index 0.02

Visualization

Abstract

There exists substantial data level parallelism in scientific problems. The PARTY runtime system is an attempt to obtain efficient parallel implementations for scientific computations, particularly those where the data dependencies are manifest only at runtime. This can preclude compiler based detection of certain types of parallelism. The automated system is structured as follows: An appropriate level of granularity is first selected for the computations. A directed acyclic graph representation of the program is generated on which various aggregation techniques may be employed in order to generate efficient schedules. These schedules are then mapped onto the target machine. We describe some initial results from experiments conducted on the Intel Hypercube and the Encore Multimax that indicate the usefulness of our approach.