Faster collective output through active buffering

Scientific applications often need to write out large arrays and associated metadata periodically for visualization or restart purposes. In this paper, we propose active buffering for collective I/O, in which processors actively organize their idle memory into a hierarchy of buffers for periodic output data. Active buffering exploits one-sided communication for I/O processors to fetch data from compute processors´ buffers and performs actual writing in the background while compute processors are computing. It gracefully adapts as buffers at different level of the hierarchy fill and empty, and as new collective I/O requests arrive. Experimental results with synthetic benchmarks and a real rocket simulation code on the SGI Origin 2000 and IBM SP show that active buffering improves the apparent collective write throughput so that it approaches the local memory bandwidth or the MPI bandwidth under appropriate conditions. These speedups are due entirely to increased parallelism during I/O, and are in addition to any performance improvements that may come from buffering small requests.