SCHEDULE: NOV 10-16, 2012
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Reservation-Based I/O Performance Guarantee for MPI-IO Applications using Shared Storage Systems
SESSION: Research Poster Reception
EVENT TYPE: Posters and Electronic Posters
TIME: 5:15PM - 7:00PM
SESSION CHAIR: Torsten Hoefler
AUTHOR(S):Yusuke Tanimura, Rosa Filgueira, Isao Kojima, Malcolm Atkinson
ROOM:East Entrance
ABSTRACT:
While optimized collective I/O methods are proposed for MPI-IO implementations, a problem in concurrent use of the shared storage system is raised. In order to prevent performance degradation of parallel I/O due to such I/O conflict, we propose an advance reservation approach, including possible integration with existing batch scheduler on HPC clusters. In this work, we use Dynamic-CoMPI as a MPI-IO implementation and Papio as a shared storage system which implements parallel I/O and performance reservation. Then we have been developing the ADIO layer to connect these systems and to evaluate the benefits of the reservation-based performance isolation. Our prototype implementation, Dynamic-CoMPI/Papio, was evaluated using the MPI-IO Test benchmark and the BISP3D application. In our preliminary evaluation, total execution time increased 3~12% with the Dynamic-CoMPI/PVFS2 and 6~40% with the Dynamic-CoMPI/Lustre, under the situation where additional workload affected on MPI execution, however there was no obvious time increase with Dynamic-CoMPI/Papio.
Chair/Author Details:
Torsten Hoefler (Chair) - ETH Zurich
Yusuke Tanimura - National Institute of Advanced Industrial Science & Technology
Rosa Filgueira - University of Edinburgh
Isao Kojima - National Institute of Advanced Industrial Science & Technology
Malcolm Atkinson - University of Edinburgh
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Reservation-Based I/O Performance Guarantee for MPI-IO Applications using Shared Storage Systems
SESSION: Research Poster Reception
EVENT TYPE:
TIME: 5:15PM - 7:00PM
SESSION CHAIR: Torsten Hoefler
AUTHOR(S):Yusuke Tanimura, Rosa Filgueira, Isao Kojima, Malcolm Atkinson
ROOM:East Entrance
ABSTRACT:
While optimized collective I/O methods are proposed for MPI-IO implementations, a problem in concurrent use of the shared storage system is raised. In order to prevent performance degradation of parallel I/O due to such I/O conflict, we propose an advance reservation approach, including possible integration with existing batch scheduler on HPC clusters. In this work, we use Dynamic-CoMPI as a MPI-IO implementation and Papio as a shared storage system which implements parallel I/O and performance reservation. Then we have been developing the ADIO layer to connect these systems and to evaluate the benefits of the reservation-based performance isolation. Our prototype implementation, Dynamic-CoMPI/Papio, was evaluated using the MPI-IO Test benchmark and the BISP3D application. In our preliminary evaluation, total execution time increased 3~12% with the Dynamic-CoMPI/PVFS2 and 6~40% with the Dynamic-CoMPI/Lustre, under the situation where additional workload affected on MPI execution, however there was no obvious time increase with Dynamic-CoMPI/Papio.
Chair/Author Details:
Torsten Hoefler (Chair) - ETH Zurich
Yusuke Tanimura - National Institute of Advanced Industrial Science & Technology
Rosa Filgueira - University of Edinburgh
Isao Kojima - National Institute of Advanced Industrial Science & Technology
Malcolm Atkinson - University of Edinburgh
Click here to download .ics calendar file