Project Overview

Cloud computing has increased greatly in popularity in recent years, with significant success in the commercial arena. We are now seeing similar success in the area of parallel scientific applications, as cloud computation, communication, and I/O are rapidly improving.

The cloud has several attractive features for high-performance computing (HPC) users, especially as the HPC clientele continues to broaden and access to traditional HPC clusters at national laboratories becomes more difficult.

In this project we investigate ways to lower the barrier for HPC application programmers using the cloud — in particular, utilizing all possible means to achieve good performance at the lowest possible cost.

Supported by the National Science Foundation (NSF) under grant no. CNS-1216829. Any opinions, findings, and conclusions expressed are those of the author(s) and do not necessarily reflect the views of NSF.

People
Faculty
David K. Lowenthal
Postdoc
Aniruddha Marathe
Publications
Exploiting Redundancy for Cost-Effective, Time-Constrained Execution of HPC Applications on Amazon EC2
A. Marathe, R. Harris, D.K. Lowenthal, B. de Supinski, B. Rountree, M. Schulz
HPDC, June 2014
A Comparative Study of High-Performance Computing on the Cloud
A. Marathe, R. Harris, D.K. Lowenthal, B. de Supinski, B. Rountree, M. Schulz, X. Yuan
HPDC, June 2013