Capacity metric for chip heterogeneous multiprocessors

  • Authors:
  • Mwaffaq Otoom;JoAnn M. Paul

  • Affiliations:
  • Virginia Tech, Blacksburg, VA, USA;Virginia Tech, Blacksburg, VA, USA

  • Venue:
  • CODES+ISSS '11 Proceedings of the seventh IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis
  • Year:
  • 2011

Quantified Score

Hi-index 0.00

Visualization

Abstract

Chip Heterogeneous Multiprocessors (CHMs) are increasingly used to execute multichannel, heterogeneous workloads, often in the service of single users. Multichannel inputs can be processed at different rates and in a variety of combinations. We show that performance evaluation of the CHMs that process multichannel workloads requires a new performance metric, capacity, which we introduce in this paper. We show how capacity is a successor to throughput, through an automobile production analogy. We include experimental results to illustrate the form and usefulness of the new metric as well as contrast it with Pareto optimization.