Exploiting Lustre File Joining for Effective Collective IO Export

@inproceedings{citeulike:3407569, abstract = {Lustre is a parallel file system that presents high aggregated IO bandwidth by striping file extents across many storage devices. However, our experiments indicate excessively wide striping can cause performance degradation. Lustre supports an innovative file joining feature that joins files in place. To mitigate striping overhead and benefit collective IO, we propose two techniques: split writing and hierarchical striping. In split writing, a file is created as separate subfiles, each of which is striped to only a few storage devices. They are joined as a single file at the file close time. Hierarchical striping builds on top of split writing and orchestrates the span of subfiles in a hierarchical manner to avoid overlapping and achieve the appropriate coverage of storage devices. Together, these techniques can avoid the overhead associated with large stripe width, while still being able to combine bandwidth available from many storage devices. We have prototyped these techniques in the ROMIO implementation of MPI-IO. Experimental results indicate that split writing and hierarchical striping can significantly improve the performance of Lustre collective IO in terms of both data transfer and management operations. On a Lustre file system configured with 46 object storage targets, our implementation improves collective write performance of a 16-process job by as much as 220\%.}, address = {Washington, DC, USA}, author = {Yu, Weikuan and Vetter, Jeffrey and Canon, Shane R. and Jiang, Song}, booktitle = {CCGRID '07: Proceedings of the Seventh IEEE International Symposium on Cluster Computing and the Grid}, citeulike-article-id = {3407569}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1252233}, citeulike-linkout-1 = {http://doi.ieeecomputersociety.org/10.1109/CCGRID.2007.51}, citeulike-linkout-2 = {http://dx.doi.org/10.1109/CCGRID.2007.51}, doi = {10.1109/CCGRID.2007.51}, isbn = {0-7695-2833-3}, keywords = {filesystem, lustre, parallel}, pages = {267--274}, posted-at = {2008-11-19 22:20:47}, priority = {2}, publisher = {IEEE Computer Society}, title = {Exploiting Lustre File Joining for Effective Collective IO}, url = {http://dx.doi.org/10.1109/CCGRID.2007.51}, year = {2007} }

TY - CONF ID - citeulike:3407569 L3 - citeulike-article-id:3407569 N2 - Lustre is a parallel file system that presents high aggregated IO bandwidth by striping file extents across many storage devices. However, our experiments indicate excessively wide striping can cause performance degradation. Lustre supports an innovative file joining feature that joins files in place. To mitigate striping overhead and benefit collective IO, we propose two techniques: split writing and hierarchical striping. In split writing, a file is created as separate subfiles, each of which is striped to only a few storage devices. They are joined as a single file at the file close time. Hierarchical striping builds on top of split writing and orchestrates the span of subfiles in a hierarchical manner to avoid overlapping and achieve the appropriate coverage of storage devices. Together, these techniques can avoid the overhead associated with large stripe width, while still being able to combine bandwidth available from many storage devices. We have prototyped these techniques in the ROMIO implementation of MPI-IO. Experimental results indicate that split writing and hierarchical striping can significantly improve the performance of Lustre collective IO in terms of both data transfer and management operations. On a Lustre file system configured with 46 object storage targets, our implementation improves collective write performance of a 16-process job by as much as 220%. SN - 0-7695-2833-3 AD - Washington, DC, USA EP - 274 TI - Exploiting Lustre File Joining for Effective Collective IO PB - IEEE Computer Society T2 - CCGRID '07: Proceedings of the Seventh IEEE International Symposium on Cluster Computing and the Grid SP - 267 KW - filesystem KW - lustre KW - parallel AU - Yu, Weikuan AU - Vetter, Jeffrey AU - Canon, Shane AU - Jiang, Song PY - 2007/// UR - http://dx.doi.org/10.1109/CCGRID.2007.51 ER -