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Let’s Talk Exascale Podcast looks at the GAMESS Project for Computational Chemistry

In this episode of Let’s Talk Exascale, Mike Bernhardt from ECP discusses the GAMESS project with Mark Gordon from Ames Laboratory. Gordon is the principal investigator for the ECP project called General Atomic and Molecular Electronic Structure System (GAMESS), which is developing methods for computational chemistry. “Just about anything a user would want to do with computational chemistry can be done with GAMESS—everything from very high-level quantum chemistry to semi-empirical methods to classical force fields.”

Podcast: What’s Intel up to with Blockchain?

In this Chip Chat podcast, Mike Reed, Director of the Blockchain Program Office at Intel, joins us to discuss Intel’s blockchain journey and how Intel technologies provide unique capabilities that can improve privacy, security, scalability, and trust of distributed ledger networks. “Mike also discusses how Intel has been working to make blockchains more secure with Intel Software Guard Extensions (Intel SGX).”

Radio Free HPC Looks at the European Union’s Big Investment in Exascale

In this podcast, the Radio Free HPC team looks at European Commission’s recent move to fund exascale development with 1 Billion Euros. “While Europe already had a number of exascale initiatives under way, this is a major step forward in that it puts up the money. Under a new legal and funding structure, the Commission’s contribution will be $486 million, or roughly half of the projected EUR 1 Billion total.”

Podcast: The Exascale Data and Visualization project at LANL

In this episode of Let’s Talk Exascale, Scott Gibson discusses the ECP Data and Visualization project with Jim Ahrens from Los Alamos National Lab. Ahrens is principal investigator for the Data and Visualization project, which is responsible for the storage and visualization aspects of the ECP and for helping its researchers understand, store, and curate scientific data.

Fighting Cancer with Deep Learning at Scale with the CANDLE Project

In this episode of Let’s Talk Exascale, Mike Bernhardt discusses the CANDLE project for cancer research with Rick Stevens from Argonne National Lab. The CANcer Distributed Learning Environment (CANDLE) is an ECP application development project targeting new computational methods for cancer treatment with precision medicine.

ECP Launches “Let’s Talk Exascale” Podcast

The DOE’s Exascale Computing Project has launched a new podcast channel. In this episode, Danny Perez from Los Alamos National Laboratory discusses The Exascale Atomistic Capability for Accuracy, Length, and Time (EXAALT) project. EXAALT specializes in molecular dynamics simulations of materials. “We hope you enjoy the podcast, and we welcome your ideas for future episodes.”

Radio Free HPC Looks at Spectre and Meltdown Exploits

In this podcast, the Radio Free HPC team looks at the performance ramifications of the Spectre and Meltdown exploits that affect processors from Intel, AMD, and many others. While patches are on the way, the performance hit from these patches could be as high as twenty or thirty percent in some cases.

Radio Free HPC does their List of Things Not Invited Back in 2018

In this podcast, the Radio Free HPC team reviews their list of things Not Invited Back in 2018. Along the way, they share some of their New Year Resolutions.

Intel Omni-Path Architecture: The Real Numbers

In this slidecast, Joe Yaworski from Intel describes the Intel Omni-Path architecture and how it scales performance for a wide range of HPC applications. He also shows why recently published benchmarks have not  reflected the real performance story.

Dr. Pradeep Dubey on AI & The Virtuous Cycle of Compute

“Deep Learning was recently scaled to obtain 15PF performance on the Cori supercomputer at NERSC. Cori Phase II features over 9600 KNL processors. It can significantly impact how we do computing and what computing can do for us. In this podcast, I will discuss some of the application-level opportunities and system-level challenges that lie at the heart of this intersection of traditional high performance computing with emerging data-intensive computing.”