Hybrid Computing for Scientific Simulations - Machine Learning in Science

Summary

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.) (http://www.sdsc.edu/services/business_services/cf_auditorium.html) 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.

Agenda

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.

Speakers

Rob Farber (http://www.techenablement.com/rob-farber/)

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.

Relevant links

• Deep dive into the Simul8 HPC Environments' technical specifications. (http://bit.ly/Simul8HPC)

• Shaping the Future of Materials Science with Machine Learning (https://www.journals.elsevier.com/neural-networks/virtual-special-issue/shaping-the-future-of-materials-science-machine-learning).

• Application of machine learning methods for the prediction of crystal system of cathode materials in lithium-ion batteries (http://www.sciencedirect.com/science/article/pii/S0927025616300489)

Sponsor

Big thanks to Bright Computing (http://www.brightcomputing.com/) for supporting our community with food / drink / and possibly some future big data workshops/presentations. The future is bright for San Diego!

http://photos2.meetupstatic.com/photos/event/d/4/e/600_459543406.jpeg

Bright Computing (http://www.brightcomputing.com/) is a global leader in cluster and cloud infrastructure automation software. Bright Cluster Manager™, Bright Cluster Manager for Big Data™, and Bright OpenStack™ provide a unified approach to installing, provisioning, configuring, managing, and monitoring HPC clusters, big data clusters, and OpenStack clouds. Bright’s products are currently deployed in more than 650 data centers around the world. Bright Computing’s customer base includes global organizations in the academic, governmental, financial, healthcare, manufacturing, oil/gas/energy, and pharmaceutical space. Customers include Boeing, Intel, NASA, Stanford University, and St. Jude Children’s Research Hospital. Bright partners with Amazon, Cray, Dell, Intel, Nvidia, SGI, and other leading vendors to deliver powerful, integrated solutions for managing advanced IT infrastructure such as high performance computing clusters, big data clusters, and OpenStack-based private clouds.

Community Links

Visit MLsociety.com (http://www.mlsociety.com/) to learn more about our organization. Don't forget to follow us on:

• Facebook (https://www.facebook.com/MachineLearningSociety/)

• YouTube (https://www.youtube.com/channel/UCCC6fnmCczlk9Y00Kca1Cjg)

• LinkedIn (https://www.linkedin.com/company/machine-learning-society)

• Twitter (https://twitter.com/ML_Society)

Join our Hangouts Chat (https://hangouts.google.com/group/TWxtkO8FHbco8xcm1) to speak with others about the event.