SCHEDULE: NOV 10-16, 2012
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Memory-Conscious Collective IO for Extreme-Scale HPC Systems
SESSION: Research Poster Reception
EVENT TYPE: Posters and Electronic Posters
TIME: 5:15PM - 7:00PM
SESSION CHAIR: Torsten Hoefler
AUTHOR(S):Yin Lu, Yong Chen, Rajeev Thakur, Yu Zhuang
ROOM:East Entrance
ABSTRACT:
The continuing decrease in memory capacity per core and the increasing disparity between core count and off-chip memory bandwidth create significant challenges for I/O operations in exascale systems. The exascale challenges require rethinking collective I/O for the effective exploitation of the correlation among I/O accesses in the exascale system. In this study, considering the major constraint of the memory space, we introduce a Memory-Conscious collective I/O. Given the importance of I/O aggregator in improving the performance of collective I/O, the new collective I/O strategy restricts aggregation data traffic within disjointed subgroups, coordinates I/O accesses in intra-node and inter-node layer and determines I/O aggregators at run time considering data distribution and memory consumption among processes. The preliminary results have demonstrated that the new collective I/O strategy holds promise in substantially reducing the amount of memory pressure, alleviating contention for memory bandwidth and improving the I/O performance for extreme-scale systems.
Chair/Author Details:
Torsten Hoefler (Chair) - ETH Zurich
Yin Lu - Texas Tech University
Yong Chen - Texas Tech University
Rajeev Thakur - Argonne National Laboratory
Yu Zhuang - Texas Tech University
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Memory-Conscious Collective IO for Extreme-Scale HPC Systems
SESSION: Research Poster Reception
EVENT TYPE:
TIME: 5:15PM - 7:00PM
SESSION CHAIR: Torsten Hoefler
AUTHOR(S):Yin Lu, Yong Chen, Rajeev Thakur, Yu Zhuang
ROOM:East Entrance
ABSTRACT:
The continuing decrease in memory capacity per core and the increasing disparity between core count and off-chip memory bandwidth create significant challenges for I/O operations in exascale systems. The exascale challenges require rethinking collective I/O for the effective exploitation of the correlation among I/O accesses in the exascale system. In this study, considering the major constraint of the memory space, we introduce a Memory-Conscious collective I/O. Given the importance of I/O aggregator in improving the performance of collective I/O, the new collective I/O strategy restricts aggregation data traffic within disjointed subgroups, coordinates I/O accesses in intra-node and inter-node layer and determines I/O aggregators at run time considering data distribution and memory consumption among processes. The preliminary results have demonstrated that the new collective I/O strategy holds promise in substantially reducing the amount of memory pressure, alleviating contention for memory bandwidth and improving the I/O performance for extreme-scale systems.
Chair/Author Details:
Torsten Hoefler (Chair) - ETH Zurich
Yin Lu - Texas Tech University
Yong Chen - Texas Tech University
Rajeev Thakur - Argonne National Laboratory
Yu Zhuang - Texas Tech University
Click here to download .ics calendar file