About the Lecture:
As concurrency continues to increase on high-end machines, from both the number of cores and storage devices, we must look for a revolutionary way to treat Input/Output (I/O). As a matter of fact, one of the major roadblocks to exascale is how to write and read big datasets quickly and efficiently on high-end machines. On the other hand, applications often want to process data in an efficient and flexible manner, in terms of data formats and operations performed (e.g., files, data streams). We will show how users can do that and get high performance with ADIOS on 100,000+ cores. Part I will introduce parallel I/O and the ADIOS framework to the audience. Specifically, we will discuss the concept of ADIOS I/O abstraction, the binary-packed file format, and I/O methods along with the benefits to applications. Since 1.4.1, ADIOS can operate on both files and data streams. Part II will include a session on how to write/read data, and how to use different I/O componentizations inside of ADIOS. Part III will show users how to take advantage of the ADIOS framework to do compression/indexing. Finally, we will discuss how to run in-situ visualization using VisIt/Paraview+ADIOS.
Scott A. Klasky is the group leader for Scientific Data in the Computer Science and Mathematics Division at the Oak Ridge National Laboratory. He holds a Ph.D. in Physics from the University of Texas at Austin (1994), and has previously worked at the University of Texas at Austin, Syracuse University, and the Princeton Plasma Physics Laboratory. Dr. Klasky is a co-author on over 180 papers, and is the team leader of the Adaptable I/O System (ADIOS), which won an R&D 100 Award in 2013.
Please register your attendance at the following link: http://www.acrc.a-star.edu.sg/135/workshops.html
Kindly RSVP no later than 13 January 2014.