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Let’s Talk Exascale: Developing Low Overhead Communication Libraries

In this episode of Let’s Talk Exascale, Scott Baden of LBNL describes the Pagoda Project, which seeks to develop a lightweight communication and global address space support for exascale applications. “What our project is addressing is how to keep the fixed cost as small as possible, so that cutting-edge irregular algorithms can efficiently move many small pieces of data efficiently.”

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.”