In addition to an engaging program, pre- and post-program mini workshops will span the spectrum of workforce diversity, best practices in systems management, singularity containers, and code parallelization.
Several hundred participants from the IT and energy industries, along with participants from universities and national labs, will come together to network, learn, assess needs, and foster relationships. Detlef Hohl, Chief Scientist at Shell, will open the conference with an energy-industry perspective on High Performance Computing and High Performance Data Analytics, and will forecast what O&G will do with it in the next 10 years. The opening keynote will be followed by Forrest Norrod, Senior Vice President of AMD, and Brent Gorda of Arm. Day two will begin with Lori Diachin providing an update on the U.S. Department of Energy (DOE) Exascale Computing Project, followed by Trish Damkroger of Intel, Dan Stanzione at the Texas Advanced Computing Center, Toni Collis, Women in HPC, and an “Early Career” panel moderated by Andrew Jones with Numerical Algorithms Group (NAG). Satoshi Matsuoka, RIKEN Center for Computational Science, Japan, will segue into the poster session with his closing keynote presentation on the Post-K Computer and an overview of computational science and engineering research.
Executive Director Comments
Jan E. Odegard, Executive Director of the Ken Kennedy Institute, says, “With the end of Moore’s law, challenges are mounting around a rapidly changing technology landscape. The end of one era is an opportunity for advancements and the beginning of a new era – a renaissance for system architectures that highlights the need for investments in workforce, algorithms, software, and hardware to support system scalability. These technology changes combined with demands for digital transformation across the oil and gas sector makes the theme for this year’s convergence super relevant.”
About the Ken Kennedy Institute for Information Technology
The Ken Kennedy Institute for Information Technology at Rice University is dedicated to the advancement of research in the fields of data and computation, and serves as a catalyst for research collaboration and workforce development.
Conference logistics
Location: Rice University’s BioScience Research Collaborative
6500 Main Street, Houston, TX 77030
Conference program and registration: http:/og-hpc.org
The views and opinions expressed here belong to Jan. E. Odegard and do not necessarily reflect those of Rice University.
View source version on businesswire.com: https://www.businesswire.com/news/home/20190128005065/en/
Source: Ken Kennedy Institute for Information Technology at Rice University
View this news release online at:
http://www.businesswire.com/news/home/20190128005065/en
