A framework for heuristic scheduling for parallel processing on multicore architecture: a case study with multiview video coding

  • Authors:

  • Yi Pang;Lifeng Sun;Jiangtao Wen;Fengyan Zhang;Weidong Hu;Wei Feng;Shiqiang Yang

  • Affiliations:

  • Department of Computer Science and Technology, Tsinghua University, Beijing, China;Department of Computer Science and Technology, Tsinghua University, Beijing, China;Department of Computer Science and Technology, Tsinghua University, Beijing, China;Department of Computer Science and Technology, Tsinghua University, Beijing, China;Department of Computer Science and Technology, Tsinghua University, Beijing, China;Department of Computer Science and Technology, Tsinghua University, Beijing, China;Department of Computer Science and Technology, Tsinghua University, Beijing, China

  • Venue:
  • IEEE Transactions on Circuits and Systems for Video Technology
  • Year:
  • 2009

Quantified Score

Hi-index 0.03

Visualization

Abstract

In this paper, using the Intel multicore architectures and the emerging multiview video coding standard, we introduce a framework for performing analysis, simulation, and evaluation of heuristics scheduling algorithms for implementing computationally intensive algorithms on multicore processors. The framework allows for accurate and quantitative characterization of the performance of dynamic scheduling algorithms for multimedia applications on different multicore processors without actual implementation of the scheduling algorithm and application on the actual platform. Experimental results demonstrate the effectiveness and scalability of our framework.