Hybrid Computing for Scientific Simulations - Machine Learning in Science
Thursday, March 30, 2017 6:00 PM to 9:00 PM
10100 Hopkins Drive, San Diego, CA
From biology and chemistry, to high-energy and nuclear physics,
scientists have come to rely on accurate models of physical phenomena to
understand the world we live in. When time and costs are a factor,
scientific simulation is often used to supplement real world
experiments. But this is 2017 and the A.I. renaissance of massively
parallel processing, utilizing GPUs, combined with Machine Learning
algorithms is altering the scientific landscape
The accuracy of these simulations is dependent on the number of
calculations performed. We will demonstrate the power of modern Compute
clusters which leverage emerging technologies like NVLink and High
Bandwidth Memory to enable new capabilities for A.I. assisted HPC (High
Performance Computing.) In this presentation, Rob Farber and Greg
Scantlen will discuss the key advantages of hybrid computing and
breakthrough methodologies in science and machine learning with the
Simul8 HPC Environment.
Join us on March 30th, 6pm at the SDSC (San Diego Supercomputer Center.)
to learn about how hybrid computing is optimizing materials science
(chemoinformatics), high energy and nuclear physics, biology, and other
scientific disciplines. Space available for 200+, so Share this event with interested friends and colleagues.
Rob was a staff scientist in the theoretical division at Los Alamos
where he did basic research that established the machine and deep
learning technology now used in the Internet and self-driving cars. He
has been on staff at Berkeley, and other organizations around the world.
Mr. Farber co-founded two startups with successful exits, one of which
was a computational drug discovery company that utilized machine
learning. Rob travels the world and is globally published. His latest
book, Parallel Programming with OpenACC is available in English and will
soon be available in Chinese as well. He works closely with major
semiconductor companies including: NVIDIA, Intel, IBM, and ARM.
6:00pm - Data Center tours + Networking + light refreshments
6:30pm - Speaker Intro & presentation & Hands-on workshops(Bring Laptop - Setup instructions below)
7:50pm - Audience Q&A / Open discussion
8:30pm - Presentation Ends - Networking session
9:00pm - Everyone goes home to research Simul8 HPC Environments.