CISL Seminar Series: In Situ Processing on HPC Platforms, or Do You Really Want to Analyze Only 1 of Every 100,000 Data Values?

10/09/2019 - 10:00am
ML - Main Seminar Room

Title: In Situ Processing on HPC Platforms, or Do You Really Want to Analyze Only 1 of Every 100,000 Data Values?

Speaker: E. Wes Bethel, PhD, Senior Computer Scientist, Lawrence Berkeley National Laboratory


In Situ processing refers to the process of performing operations on data while they are still resident in memory, without first having to write them out to persistent storage, then read them back in at a later time. In principle, it offers the ability to perform analysis on data at full spatiotemporal resolution, without the cost of doing expensive I/O. This talk will provide an overview of this approach to managing data intensive computations on HPC platforms, including a historical perspective, a survey of state of the art methods and tools, and tradeoffs and limitations.


In the pursuit of cultivating technologies that can have a positive impact on science and society, Bethel is an innovator, a visionary, an entrepreneur, a mentor, a data and computer scientist, a technologist, and a leader. His technical background in computer and data science spans several fields, which lie at the nexus of computing and data: high performance computing, scientific/information visualization, graphics, scientific data/image analysis, and machine learning. He is passionate about enabling scientific knowledge discovery through the convergence of data and computing, a pursuit that requires ongoing evolution and adaptation to a changing technological and scientific landscape.  He is an ACM Distinguished Scientist, a Senior Fellow at the Berkeley Institute for Data Science (UC Berkeley), an Adjunct Associate Professor of Computer Science at Old Dominion University, and is a member of ACM (SIGGRAPH, SIGHPC) and IEEE. He earned his PhD in Computer Science from the University of California, Davis.


Refreshments will be served at 9:45 a.m.!


Date: Wednesday, October 9, 2019

Time: 10:00 a.m. - 11:00 a.m.

Location: Mesa Lab, Main Seminar Room (MSR)