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Exascale Computing Project Releases Milestone Report

The US Department of Energy’s Exascale Computing Project (ECP) has published a milestone report that summarizes the status of all thirty ECP Application Development (AD) subprojects at the end of fiscal year 2019. “This report contains not only an accurate snapshot of each subproject’s current status but also represents an unprecedentedly broad account of experiences porting large scientific applications to next-generation high-performance computing architectures.”

Podcast: Delivering Exascale Machine Learning Algorithms at the ExaLearn Project

In this Let’s Talk Exascale podcast, researchers from the ECP describe progress at the ExaLearn project. ExaLearn is focused on ML and related activities to inform the requirements for these pending exascale machines. “ExaLearn’s algorithms and tools will be used by the ECP applications, other ECP co-design centers, and DOE experimental facilities and leadership-class computing facilities.”

Podcast: Helping Applications Use Future Architectures with First-Rate Discretization Libraries

In this Let’s Talk Exascale podcast, Tzanio Kolev from LLNL describes the work at Center for Efficient Exascale Discretizations (CEED), one of six co-design centers within the Exascale Computing Project. “Discretization methods divide a large simulation into smaller components in preparation for computer analysis. CEED is ECP’s hub for partial differential equation discretizations on unstructured grids, providing user-friendly software, mathematical expertise, community standards, benchmarks, and miniapps as well as coordination between the applications, hardware vendors, and Software Technology (ST) efforts in ECP.”

New Leaders Join Exascale Computing Project

The US Department of Energy’s Exascale Computing Project has announced three leadership staff changes within the Hardware and Integration (HI) group. “Over the past several months, ECP’s HI team has been adapting its organizational structure and key personnel to prepare for the next phase of exascale hardware and software integration.”

Podcast: Simplifying the Deployment of HPC Tools and Libraries

In this Let’s Talk Exascale podcast, Sameer Shende from the University of Oregon describes progress on the Extreme-scale Scientific Software Stack. E4S is a community effort to provide open-source software packages for developing, deploying, and running scientific applications on HPC platforms. “Container technology is promising because it enables the user to take an existing set of libraries and tools, consider the dependency metrics of a particular software product, and deploy the software efficiently. And there’s only one kernel that’s running when a container is deployed, unlike other virtualization approaches. So it’s very efficient.”

MLPerf-HPC Working Group seeks participation

In this special guest feature, Murali Emani from Argonne writes that a team of scientists from DoE labs have formed a working group called MLPerf-HPC to focus on benchmarking machine learning workloads for high performance computing. “As machine learning (ML) is becoming a critical component to help run applications faster, improve throughput and understand the insights from the data generated from simulations, benchmarking ML methods with scientific workloads at scale will be important as we progress towards next generation supercomputers.”

Podcast: Co-Design for Online Data Analysis and Reduction at Exascale

In this Let’s Talk Exascale podcast, Ian Foster from Argonne National Lab describes how the CODAR project at ECP is addressing the needs for data reduction, analysis, and management in the exascale era. “When compressing data produced by a simulation, the idea is to keep the parts that are scientifically interesting and toss those that are not. However, every application and, perhaps, every scientist, has a different definition of what “interesting” means in that context. So, CODAR has developed a system called Z-checker to enable users to monitor the compression method.”

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.”