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Video: Weather and Climate Modeling at Convection-Resolving Resolution

David Leutwyler from ETH Zurich gave this talk at the 2017 Chaos Communication Congress. “The representation of thunderstorms (deep convection) and rain showers in climate models represents a major challenge, as this process is usually approximated with semi-empirical parameterizations due to the lack of appropriate computational resolution. Climate simulations using kilometer-scale horizontal resolution allow explicitly resolving deep convection and thus allow for an improved representation of the water cycle. We present a set of such simulations covering Europe and global computational domains.”

Video: Thomas Zacharia from ORNL Testifies at House Hearing on the Need for Supercomputing

In this video, Thomas Zacharia from ORNL testifies before the House Energy and Commerce hearing on DOE Modernization. “At the OLCF, we are deploying a system that may well be the world’s most powerful supercomputer when it begins operating later this year. Summit will be at least five times as powerful as Titan. It will also be an exceptional resource for deep learning, with the potential to address challenging data analytics problems in a number of scientific domains. Summit is among the products of CORAL, the Collaboration of Oak Ridge, Argonne, and Livermore.”

Job of the Week: System Administrator at D.E. Shaw Research

D.E. Shaw Research in NYC is seeking a System Administrator for Servers, Clusters and Supercomputers for Computational Biochemistry in our Job of the Week. “Exceptional sysadmins sought to manage systems, storage, and network infrastructure for a New York–based interdisciplinary research group. Positions are available at our New York City offices, and at our data centers in Durham, NC and Endicott, NY.”

Exceptional sysadmins sought to manage systems, storage, and network infrastructure for a New York–based interdisciplinary research group. Positions are available at our New York City offices, and at our data centers in Durham, NC and Endicott, NY.

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.

HPC4Mfg Program Selects New Industry Projects

Today the DOE announced $1.87 million for seven projects to advance innovation in U.S. manufacturing through HPC. “The HPC4Mfg program leverages world-class technical expertise with high performance computing to tackle manufacturing challenges uniquely solved by computer modeling. By applying modeling, simulation, and data analytics to key manufacturing problems, the program can aid in decision-making, optimize processes and design, improve quality, predict performance and failure, reduce or eliminate testing, and shorten the time to market.”

Call for Papers: International Workshop on Accelerators and Hybrid Exascale Systems

The eight annual  International Workshop on Accelerators and Hybrid Exascale Systems (AsHES) has issued its Call for Papers. Held in conjunction with the 32nd IEEE International Parallel and Distributed Processing Symposium, the AsHES Workshop takes place May 23 in Vancouver, Canada. “This workshop focuses on understanding the implications of accelerators and heterogeneous designs on the hardware systems, porting applications, performing compiler optimizations, and developing programming environments for current and emerging systems. It seeks to ground accelerator research through studies of application kernels or whole applications on such systems, as well as tools and libraries that improve the performance and productivity of applications on these systems.”

Using the Titan Supercomputer to Accelerate Deep Learning Networks

A team of researchers from the Department of Energy’s Oak Ridge National Laboratory has married artificial intelligence and high-performance computing to achieve a peak speed of 20 petaflops in the generation and training of deep learning networks on the laboratory’s Titan supercomputer.

Intel’s Al Gara Presents: Technology Opportunities Like Never Before

Al Gara from gave this talk at the Intel HPC Developer Conference in Denver. “Technology visionaries architecting the future of HPC and AI will share the key challenges as well as Intel’s direction. The talk will cover the adaptation of AI into HPC workflows, along their perspective architectural developments, upcoming transitions and range of solutions, technology opportunities, and the driving forces behind them.”

European Commission to invest EUR 1 Billion in Exascale

Today the European Commission unveiled today its plans to invest jointly with the Member States in building a world-class European supercomputers infrastructure. “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. Before the new structure was put in place, the Commission was effectively limited to contributing only 20 percent of HPC initiatives undertaken with member states. 

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.”