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FOX: A Fault-Oblivious Extreme Scale Execution Environment
SESSION: Research Poster Reception
EVENT TYPE: ACM Student Research Competition Poster, Poster, Electronic Poster
TIME: 5:15PM - 7:00PM
SESSION CHAIR: Bernd Mohr
AUTHOR(S):Ron Minnich, Curtiss Janssen, Sriram Krishnamoorthy, Andres Marquez, Wenjing Ma, Maya Gokhale, P. Sadayappan, Eric Van Hensbergen, Jonathan Appavoo, Jim Mckie
ROOM:WSCC North Galleria 2nd/3rd Floors
ABSTRACT: Exascale computing systems will provide a thousand-fold increase in parallelism and a proportional increase in failure rate relative to today's machines. Systems software for exascale machines must provide the infrastructure to support existing applications while simultaneously enabling efficient execution of new programming models that naturally express dynamic, adaptive, irregular computation; coupled simulations; and massive data analysis in a highly unreliable hardware environment with billions of threads of execution. Further, these systems must be designed with failure in mind. FOX is a new system for the exascale which will support distributed data objects as a first class object in the operating system itself. This memory-based data store will be named and accessed as part of the file system name space of the application. We can build many types of objects with this data store, including data-driven work queues, which will in turn support applications with inherent resilience.
Bernd Mohr (Chair) - Juelich Supercomputing Centre
Ron Minnich - Sandia National Laboratories
Curtiss Janssen - Sandia National Laboratories
Sriram Krishnamoorthy - Pacific Northwest National Laboratory
Andres Marquez - Pacific Northwest National Laboratory
Wenjing Ma - Pacific Northwest National Laboratory
Maya Gokhale - Lawrence Livermore National Laboratory