GPOP

Abstract

The past decade has seen the development of many shared-memory graph processing frameworks intended to reduce the effort of developing high-performance parallel applications. However, many of these frameworks, based on Vertex-centric or Edge-centric paradigms suffer from several issues, such as poor cache utilization, irregular memory accesses, heavy use of synchronization primitives, or theoretical inefficiency, that deteriorate over-all performance and scalability.

Document Details

Document Type
Pub Defense Publication
Publication Date
Mar 09, 2020
Source ID
10.1145/3380942

Entities

People

  • Kartik Lakhotia
  • Rajgopal Kannan
  • Sourav Pati
  • Viktor K. Prasanna

Organizations

  • Defense Advanced Research Projects Agency
  • National Science Foundation
  • United States Army Research Laboratory
  • University of Southern California

Tags

Fields of Study

  • Computer science

Readers

  • Parallel and Distributed Computing.
  • Systems Analysis and Design