SCHEDULE: NOV 10-16, 2012
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Comparing GPU and Increment-Based Checkpoint Compression
SESSION: Research Poster Reception
EVENT TYPE: Posters and Electronic Posters
TIME: 5:15PM - 7:00PM
SESSION CHAIR: Torsten Hoefler
AUTHOR(S):Dewan Ibtesham, Dorian Arnold, Kurt B. Ferreira, Ronald Brightwell
ROOM:East Entrance
ABSTRACT:
The increasing size and complexity of HPC systems have led to major concerns over fault frequencies and the mechanisms necessary to tolerate these faults. Previous studies have shown that state-of-the-field checkpoint/restart mechanisms will not scale sufficiently for future generation systems. Therefore, Checkpoint/restart overheads must be improved to maintain feasibility for future HPC systems. Previously, we showed the effectiveness of checkpoint data compression for reducing checkpoint/restart latencies and storage overheads. In this work we (1)compare CPU-based and GPU-based checkpoint compression, (2)compare to increment-based checkpoint optimization, (3) evaluate the combination of checkpoint compression with incremental checkpointing and (4) motivate future GPU-based compression work by exploring various hypothetical scenarios.
Chair/Author Details:
Torsten Hoefler (Chair) - ETH Zurich
Dewan Ibtesham - University of New Mexico
Dorian Arnold - University of New Mexico
Kurt B. Ferreira - Sandia National Laboratories
Ronald Brightwell - Sandia National Laboratories
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Comparing GPU and Increment-Based Checkpoint Compression
SESSION: Research Poster Reception
EVENT TYPE:
TIME: 5:15PM - 7:00PM
SESSION CHAIR: Torsten Hoefler
AUTHOR(S):Dewan Ibtesham, Dorian Arnold, Kurt B. Ferreira, Ronald Brightwell
ROOM:East Entrance
ABSTRACT:
The increasing size and complexity of HPC systems have led to major concerns over fault frequencies and the mechanisms necessary to tolerate these faults. Previous studies have shown that state-of-the-field checkpoint/restart mechanisms will not scale sufficiently for future generation systems. Therefore, Checkpoint/restart overheads must be improved to maintain feasibility for future HPC systems. Previously, we showed the effectiveness of checkpoint data compression for reducing checkpoint/restart latencies and storage overheads. In this work we (1)compare CPU-based and GPU-based checkpoint compression, (2)compare to increment-based checkpoint optimization, (3) evaluate the combination of checkpoint compression with incremental checkpointing and (4) motivate future GPU-based compression work by exploring various hypothetical scenarios.
Chair/Author Details:
Torsten Hoefler (Chair) - ETH Zurich
Dewan Ibtesham - University of New Mexico
Dorian Arnold - University of New Mexico
Kurt B. Ferreira - Sandia National Laboratories
Ronald Brightwell - Sandia National Laboratories
Click here to download .ics calendar file