Summary: Performance Prediction for Random Write Reductions: A
Case Study in Modeling Shared Memory Programs

Ruoming Jin
Department of Computer and Information
Sciences
Ohio State University
Columbus, OH 43210
jinr@cis.ohio-state.edu
Gagan Agrawal
Department of Computer and Information
Sciences
Ohio State University
Columbus, OH 43210
agrawal@cis.ohio-state.edu
ABSTRACT
In this paper, we revisit the problem of performance prediction on
shared memory parallel machines, motivated by the need for se-
lecting parallelization strategy for random write reductions. Such
reductions frequently arise in data mining algorithms.

Source: Agrawal, Gagan - Department of Computer Science and Engineering, Ohio State University

Collections: Computer Technologies and Information Sciences