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Exascale Computing Project Announces Staff Changes Within Software Technology Group

The US Department of Energy’s Exascale Computing Project (ECP) has announced the following staff changes within the Software Technology group. Lois Curfman McInnes from Argonne will replace Jonathan Carter as Deputy Director for Software Technology. Meanwhile Sherry Li is now team lead for Math Libraries. “We are fortunate to have such an incredibly seasoned, knowledgeable, and respected staff to help us lead the ECP efforts in bringing the nation’s first exascale computing software environment to fruition,” said Mike Heroux from Sandia National Labs.

Postdoc Symposium at Berkeley Lab Looks to Exascale for Modeling and Simulation

Twenty-two postdoctoral fellows from across the Computing Sciences Area shared the status of their current projects at the first CSA Postdoc Symposium, held January 30-31 at Berkeley Lab. Their presentations covered a broad range of research topics, including code optimization, machine/deep learning, network routing, modeling and simulation of complex scientific problems, exascale, and other next-generation computer architectures.

Podcast: Solving Multiphysics Problems at the Exascale Computing Project

In this Let’s Talk Exascale Podcast, Stuart Slattery and Damien Lebrun-Grandie from ORNL describe how they are readying algorithms for next-generation supercomputers at the Department of Energy. “The mathematical library development portfolio of the Software Technology (ST) research focus area of the ECP provides general tools to implement complex algorithms. These algorithms are designed to scale up for supercomputers so that ECP teams can then use them to accelerate the development and improve the performance of science applications on DOE high-performance computing architectures.”

Interview: Exascale Computing Project Update for 2020

In this video, Exascale Computing Project Director Doug Kothe describes how disciplined and tailored project management led to very impressive results in what was likely the most comprehensive independent review of the project to date. “ECP’s products will be robust, production ready, and functional right out of the box; and ECP is driving the sharing of information through regular training not only with ECP participants but also the broader US high-performance computing community to lower barriers to using exascale systems and accelerated architectures in general.”

Podcast: Rewriting NWChem for Exascale

In this Let’s Talk Exascale podcast, researchers from the NWChemEx project team describe how they are readying the popular code for Exascale. The NWChemEx team’s most significant success so far has been to scale coupled-cluster calculations to a much larger number of processors. “In NWChem we had the global arrays as a toolkit to be able to build parallel applications.”

Podcast: Earth and Space Science for Exascale

In this podcast, Anshu Dubey of Argonne National Laboratory describes the Earth and Space Science application portfolio in the Exascale Computing Project (ECP). “By and large, these applications are solving partial differential equations, and so there is that generality,” Dubey said. “Most times, the range of scales is so huge that you cannot resolve every scale, so then you have to do something called subgrid models, which can be very boutique.”

Call for Applications: ATPESC 2020 Extreme-Scale Computing Training Program

The Argonne Training Program on Extreme-Scale Computing (ATPESC) has issued its Call for Applications. The event will take place from July 26–August 7 in the Chicago area. “ATPESC provides intensive, two-week training on the key skills, approaches, and tools needed to carry out scientific computing research on the world’s most powerful supercomputers.”

Podcast: Supercomputing the Human Microbiome

In this Let’s Talk Exascale podcast, Kathy Yelick and Lenny Oliker from LBNL describe how the ExaBiome project is developing computational tools to analyze microbial species—bacteria or viruses that typically live in communities of hundreds of different species. “Pushing past the traditional shared-memory-system approach, the ExaBiome team has developed efficient distributed memory implementations and analyzed some of the largest datasets in the metagenomics community.”

Podcast: A Codebase for Deep Learning Supercomputers to Fight Cancer

In this Let’s Talk Exascale podcast, Gina Tourassi from ORNL describes how the CANDLE project is setting the stage to fight cancer with the power of Exascale computing. “Basically, as we are leveraging supercomputing and artificial intelligence to accelerate cancer research, we are also seeing how we can drive the next generation of supercomputing.”

Podcast: Will the ExaSky Project be First to Reach Exascale?

In this Lets Talk Exascale podcast, Katrin Heitmann from Argonne describes how the ExaSky project may be one of the first applications to reach exascale levels of performance. “Our current challenge problem is designed to run across the full machine [on both Aurora and Frontier], and doing so on a new machine is always difficult,” Heitmann said. “We know from experience, having been first users in the past on Roadrunner, Mira, Titan, and Summit; and each of them had unique hurdles when the machine hit the floor.”