sponsored byACMIEEE The International Conference for High Performance 
Computing, Networking, Storage and Analysis
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SCHEDULE: NOV 15-20, 2015

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Reliability Lessons Learned From GPU Experience With The Titan Supercomputer at Oak Ridge Leadership Computing Facility

SESSION: State of the Practice: Infrastructure Management


EVENT TAG(S): Resiliency, State of Practice, Facilities

TIME: 10:30AM - 11:00AM

SESSION CHAIR(S): Naoya Maruyama

AUTHOR(S):Devesh Tiwari, Saurabh Gupta, George Gallarno, Jim Rogers, Don Maxwell



The high computational capability of graphics processing units (GPUs) is enabling and driving the scientific discovery process at large-scale. The world’s second fastest supercomputer for open science, Titan, has more than 18,000 GPUs that computational scientists use to perform scientific simulations and data analysis. Understanding of GPU reliability characteristics, however, is still in its nascent stage since GPUs have only recently been deployed at large-scale. This paper presents a detailed study of GPU errors and their impact on system operations and applications, describing experiences with the 18,688 GPUs on the Titan supercomputer as well as lessons learned in the process of efficient operation of GPUs at scale. These experiences are helpful to HPC sites which already have large-scale GPU clusters or plan to deploy GPUs in the future.

Chair/Author Details:

Naoya Maruyama (Chair) - RIKEN|

Devesh Tiwari - Oak Ridge National Laboratory

Saurabh Gupta - Oak Ridge National Laboratory

George Gallarno - Christian Brothers University

Jim Rogers - Oak Ridge National Laboratory

Don Maxwell - Oak Ridge National Laboratory

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Paper provided by the ACM Digital Library

Paper also available from IEEE Computer Society