SCHEDULE: NOV 12-18, 2011

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Cloud Versus In-house Cluster: Evaluating Amazon Cluster Compute Instances for Running MPI Applications

SESSION: State of the Practice - Cloud/Grids

EVENT TYPE: State of the Practice

TIME: 11:00AM - 11:30AM

SESSION CHAIR: David Martin

AUTHOR(S):Yan Zhai, Mingliang Liu, Jidong Zhai, Xiaosong Ma, Wenguang Chen

ROOM:TCC 202

ABSTRACT:
The emergence of cloud services brings new possibilities for constructing and using HPC platforms. However, cloud-based clusters need a significant performance boost to become a competitive choice, especially for tightly coupled parallel applications. In this work, we examine the feasibility of running HPC applications in clouds. This study distinguishes itself from existing investigations in several ways. 1. We carry out a comprehensive examination of issues relevant to the HPC community, including performance, cost, user experience, and range of user activities. 2. We compare an Amazon EC2-based platform built upon its newly available HPC oriented virtual machines with typical local cluster and supercomputer options. 3. We perform detailed performance and scalability analysis to locate the chief limiting factors of the state-of-the-art cloud based clusters. 4. We present a case study on the impact of per-application parallel I/O system configuration uniquely enabled by cloud services.

Chair/Author Details:

David Martin (Chair) - Argonne National Lab

Yan Zhai - Tsinghua University

Mingliang Liu - Tsinghua University

Jidong Zhai - Tsinghua University

Xiaosong Ma - North Carolina State University

Wenguang Chen - Tsinghua University

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The full paper can be found in the ACM Digital Library