PARALLEL DATA LAB 

PDL Abstract

PLFS: A Checkpoint Filesystem for Parallel Applications

Supercomputing '09, November, 2009. Portland, Oregon.

John Bent†, Garth A. Gibson‡, Gary Grider†, Ben McClelland†, Paul Nowoczynski§, James Nunez†,
Milo Polte‡, Meghan Wingate†

† Los Alamos National Laboratory
‡ Carnegie Mellon University
§ Pittsburgh Supercomputing Center

Parallel applications running across thousands of processors must protect themselves from inevitable system failures. Many applications insulate themselves from failures by checkpointing. For many applications, checkpointing into a shared single file is most convenient. With such an approach, the size of writes are often small and not aligned with file system boundaries. Unfortunately for these applications, this preferred data layout results in pathologically poor performance from the underlying file system which is optimized for large, aligned writes to non-shared files. To address this fundamental mismatch, we have developed a virtual parallel log structured file system, PLFS. PLFS remaps an application’s preferred data layout into one which is optimized for the underlying file system. Through testing on PanFS, Lustre, and GPFS, we have seen that this layer of indirection and reorganization can reduce checkpoint time by an order of magnitude for several important benchmarks and real applications without any application modification.

KEYWORDS: High performance computing, parallel computing, checkpointing, parallel file systems and IO

FULL PAPER: pdf