Craig Tierney is a Senior Solution Architect at NVIDIA supporting high performance computing (HPC) and deep learning (DL). His focus includes the architecture of GPU based systems to maximize HPC and DL performance and scalability. Prior to joining NVIDIA, Craig spent over 15 years providing high performance computing architecture and computational science support to NOAA and several other government and educational organizations including DOE, DOD, NASA and Stanford University. Craig holds a Ph.D. in Aerospace Engineering Sciences from the University of Colorado at Boulder.
Weiming Hu is a Ph.D. student of Prof. Guido Cervone at Penn State University in the Dept. of Geography focusing on computational algorithms, and numerical weather prediction;- Guido Cervone is the Associate Professor at Dept. of Geography and the Assoc
Nan Niu is an Associate Professor at the Department of Electrical Engineering and Computer Science, University of Cincinnati, USA. His research interests include software requirements engineering, scientific software development, and human-centric computing. He was a receipt of the US NSF CAREER award, two best paper awards, and one most influential paper award.
Jon Rood is a Computational Scientist at the National Renewable Energy Laboratory working on applications underneath the Exascale Computing Project for both wind and combustion energy modeling. Jon has also previously worked on performance portability of weather applications at ETH Zurich and performance engineering of bioinformatics applications at Lawrence Berkeley National Laboratory.
Anshu Dubey is a computer scientist in the mathematics and computer science division at Argonne National Laboratory and a Senior Scientist at large at the University of Chicago. She leads the earth and space sciences sub-area of applications development in the US-DOE Exascale Computing Project. She is also the chief software architect for FLASH, a multiphysics multiscale HPC software that is used by multiple science and engineering domains as their community code. She is interested in all aspects of HPC scientific software including their numerical, design and productivity issues.
Andy is a father and spouse, which makes him a veteran of speaking to groups that are mostly not listening anyway. He’s been working in software development for almost 20 years and has written bugs in every language he’s ever used, from C to Groovy to Go. Andy is the oldest of 9 children, the experience of which helped him realize that he loves to teach and help others learn. He currently works at Cloudability, a cloud cost optimization platform that helps companies run their cloud services and systems like a business.
Craig Tierney is a Senior Solution Architect at NVIDIA supporting high performance computing (HPC) and deep learning (DL). His focus includes the architecture of GPU based systems to maximize HPC and DL performance and scalability. Prior to joining NVIDIA, Craig spent over 15 years providing high performance computing architecture and computational science support to NOAA and several other government and educational organizations including DOE, DOD, NASA and Stanford University. Craig holds a Ph.D. in Aerospace Engineering Sciences from the University of Colorado at Boulder.
Smahane Douyeb is currently working as a Software Apps Engineer at Intel. Part of her job is to create and run containers for various HPC platforms for performance analysis and competitive testing purposes. She also works on HPC Python apps optimization on some Intel platforms. On her free time, she like to run, swim, hike and learn new skills.
