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RESEARCH HIGHLIGHTS
Ling Liu's SC13 paper "Large Graph Processing Without the Overhead" featured by HPCwire.
ISTC-CC provides a listing of useful benchmarks for cloud computing.
Another list highlighting Open Source Software Releases.
Second GraphLab workshop should be even bigger than the first! GraphLab is a new programming framework for graph-style data analytics.
ISTC-CC Abstract
Position Paper: Software Techniques for Reducing the Vulnerability of GPU Applications
Workshop on Dependable GPU Computing (at DATE), March 2014.
Si Li, Vilas Sridharan*, Sudhanva Gurumurthi^, Sudhakar Yalamanchili
Georgia Institute of Technology
*
RAS Architecture, Advanced Micro Devices, Inc.
^
AMD Research, Advanced Micro Devices, Inc.
As highly-parallel accelerators such as graphics processing units become more important in high-performance computing, so does the need to ensure their reliable operation. In response, research has been directed at several efforts to characterize and understand the hardware vulnerability of GPU microarchitecture structures, as well as to detectng and correcting such vulnerabilities. In this position paper, we advocate a transparent, customizable, and dynamic software approach to reduce the vulnerability of GPU applications. Specifically, we propose to realize these enhancements via transparent code patching of GPU applications to increase protection of critical program regions. We outline our approach, current infrastructure, some early results, and long-term plans.
FULL PAPER: pdf