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The U.S. Exascale Computing Project: Status and Plans

In this video from the 2018 Rice Oil & Gas Conference, Doug Kothe from ORNL provides an update on the Exascale Computing Project. “The quest to develop a capable exascale ecosystem is a monumental effort that requires the collaboration of government, academia, and industry. Achieving exascale will have profound effects on the American people and the world—improving the nation’s economic competitiveness, advancing scientific discovery, and strengthening our national security.”

Panel Discussion: Delivering Exascale Computing for the Oil and Gas Industry

In this video from the 2018 Rice Oil & Gas Conference, Addison Snell from Intersect360 Research leads a panel discussion on Exascale computing. “High-end computing and information technology continues to stand out across the industry as a critical business enabler and differentiator with a relatively well understood return on investment. However, challenges such as constantly changing technology landscape, increasing focus on software and software innovation, and escalating concerns around workforce development still remain.”

Podcast: Power and Peformance Optimization at Exascale

In this Let’s Talk Exascale podcast, Tapasya Patki of Lawrence Livermore National Laboratory dicusses ECP’s Power Steering Project. “Efficiently utilizing procured power and optimizing the performance of scientific applications at exascale under power and energy constraints are challenging for several reasons. These include the dynamic behavior of applications, processor manufacturing variability, and increasing heterogeneity of node-level components.”

Video: How EuroEXA is Paving the Way to Exascale

In this video, Georgios Goumas the University of Athens describes how the EuroEXA project is working to develop the exascale computers in Europe. “To accomplish this, the project takes a holistic approach innovating both across the technology and the application/system software pillars. EuroEXA proposes a balanced architecture for compute and data-intensive applications, that builds on top of cost-efficient, modular-integration enabled by novel inter-die links, utilises a novel processing unit and embraces FPGA acceleration for computational, networking and storage operations.”

Let’s Talk Exascale Podcast Looks at Co-Design Center for Particle-Based Applications

In this Let’s Talk Exascale podcast, Tim Germann from Los Alamos National Laboratory discusses the ECP’s Co-Design Center for Particle Applications (COPA). “COPA serves as centralized clearinghouse for particle-based methods, and as first users on immature simulators, emulators, and prototype hardware. Deliverables include ‘Numerical Recipes for Particles’ best practices, libraries, and a scalable open exascale software platform.”

High Availability HPC: Microservice Architectures for Supercomputing

Ryan Quick from Providentia Worldwide gave this talk at the Stanford HPC Conference. “Microservices power cloud-native applications to scale thousands of times larger than single deployments. We introduce the notion of microservices for traditional HPC workloads. We will describe microservices generally, highlighting some of the more popular and large-scale applications. Then we examine similarities between large-scale cloud configurations and HPC environments. Finally we propose a microservice application for solving a traditional HPC problem, illustrating improved time-to-market and workload resiliency.”

Podcast: Open MPI for Exascale

In this Let’s Talk Exascale podcast, David Bernholdt from ORNL discusses the Open MPI for Exascale project, which is focusing on the communication infrastructure of MPI, or message-passing interface, an extremely widely used standard for interprocessor communications for parallel computing. “It’s possible that even though applications may make millions or billions of short calls to the MPI library during the course of an execution, performance improvements can have a significant overall impact on the application runtime.”

Designing HPC, Deep Learning, and Cloud Middleware for Exascale Systems

DK Panda from Ohio State University gave this talk at the Stanford HPC Conference. “This talk will focus on challenges in designing HPC, Deep Learning, and HPC Cloud middleware for Exascale systems with millions of processors and accelerators. For the HPC domain, we will discuss the challenges in designing runtime environments for MPI+X (PGAS-OpenSHMEM/UPC/CAF/UPC++, OpenMP and Cuda) programming models by taking into account support for multi-core systems (KNL and OpenPower), high networks, GPGPUs (including GPUDirect RDMA) and energy awareness.”

Video: The Sierra Supercomputer – Science and Technology on a Mission

Adam Bertsch from LLNL gave this talk at the Stanford HPC Conference. “Our next flagship HPC system at LLNL will be called Sierra. A collaboration between multiple government and industry partners, Sierra and its sister system Summit at ORNL, will pave the way towards Exascale computing architectures and predictive capability.”

Take the Exascale Resilience Survey from AllScale Europe

The European Horizon 2020 AllScale project has launched a survey on exascale resilience. “As we approach ExaScale, compute node failure will become commonplace. @AllScaleEurope wants to know how #HPC software developers view fault tolerance today, & how they plan to incorporate fault tolerance in their software in the ExaScale era.”