This event is a part of the "Best Practices for HPC Software Developers" webinar series, produced by the IDEAS Productivity Project. The HPC Best Practices webinars address issues faced by developers of computational science and engineering (CSE) software on high-performance computers (HPC) and occur approximately monthly.
| Resource Information | Details |
|---|---|
| Webinar Title | An Introduction to High-Performance Parallel I/O |
| Date and Time | 2016-07-28 02:00 pm EDT |
| Presenter | Feiyi Wang (Oak Ridge Leadership Computing Facility) |
| Registration, Information, and Archives | https://ideas-productivity.org/resources/series/hpc-best-practices-webinars/#webinar006 |
Webinars are free and open to the public, but advance registration is required through the Event website. Archives (recording, slides, Q&A) will be posted at the same link soon after the event.
Abstract
Parallel data management is a complex problem at large-scale HPC environments. The HPC I/O stack can be viewed as a multi-layered cake and presents an high-level abstraction to the scientists. While this abstraction shields the users from many of the I/O system details, it is very hard to obtain parallel I/O performance or functionality without understanding the end-to-end hierarchical I/O stack in today’s modern complex HPC environments. This talk will introduce the basic parallel I/O concepts and will provide guidelines on obtaining better I/O performance on large-scale parallel platforms.
Presenter Bio
Feiyi Wang received his Ph.D. in Computer Engineering from North Carolina State University (NCSU). Before he joined Oak Ridge National Laboratory as research scientist, he worked at Cisco Systems and Microelectronic Center of North Carolina (MCNC) as a lead developer and principal investigator for several DARPA-funded projects. His current research interests include high performance storage system, parallel I/O and file systems, fault tolerance and system simulation, and scientific data management and integration. Dr. Wang is a Joint Faculty Professor at EECS Department of University of Tennessee and a senior member of IEEE.
