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Latest Release of Intel Parallel Studio XE Delivers New Features to Boost HPC and AI Performance

Intel Parallel Studio XE is a complete software development suite that includes highly optimized compilers and math and data analytics libraries, along with comprehensive tools for performance analysis, application debugging, and parallel processing. It’s available as a download for Windows, Linux, and MacOS. “With this release, the focus is on making it easier for HPC and AI developers to deliver fast and reliable parallel code for the most demanding applications.”

Podcast: Applying Deep Learning to Extreme Weather

“A research team from Rice University utilized three supercomputers (TACC’s Stampede 2, Wrangler, and Pittsburg Supercomputing Center’s Bridges system) to see if data on heat waves and cold spells could be predicted by analysis of atmospheric circulation and prior surface temperature. The results of these tests indicated that this deep learning approach is more accurate at predicting extreme weather.”

Podcast: How Community Collaboration Drives Compiler Technology at the LLVM Project

In this Let’s Talk Exascale podcast, Hal Finkel of Argonne National Laboratory describes how community collaboration is driving compiler infrastructure at the LLVM project. “LLVM is important to a wide swath of technology professionals. Contributions shaping its development have come from individuals, academia, DOE and other government entities, and industry, including some of the most prominent tech companies in the world, both inside and outside of the traditional high-performance computing space.”

HPC in the Cloud: Innovating Without Infrastructure Constraints

In this video from Big Compute 2020, Barry Bolding from AWS shows how high performance computing in the cloud has been enabling innovation — without infrastructure constraints — across multiple industries. “Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—trust AWS to power their infrastructure, become more agile, and lower costs.”

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.”

Moving Massive Amounts of Data across Any Distance Efficiently

Chin Fang from Zettar gave this talk at the Rice Oil & Gas Conference. “The objective of this talk is to present two on-going projects aiming at improving and ensuring highly efficient bulk transferring or streaming of massive amounts of data over digital connections across any distance. It examines the current state of the art, a few very common misconceptions, the differences among the three major type of data movement solutions, a current initiative attempting to improve the data movement efficiency from the ground up, and another multi-stage project that shows how to conduct long distance large scale data movement at speed and scale internationally.”

Video: Next Generation AMD CPU and Accelerator Technologies

Bradley McCredie from AMD gave this talk at the Rice Oil & Gas Conference. “While foundries bravely drive forward to overcome the technical and economic challenges posed by scaling to 5nm and beyond, Moore’s law alone can provide only a fraction of the performance / watt and performance / dollar gains needed to satisfy the demands of today’s high performance computing and artificial intelligence applications. To close the gap, multiple strategies are required. First, new levels of innovation and design efficiency will supplement technology gains to continue to deliver meaningful improvements in SoC performance. Second, heterogenous compute architectures will create x-factor increases of performance efficiency for the most critical applications.”

Podcast: Slingshotting to Exascale

In this podcast, the Radio Free HPC team looks at the Cray Slingshot interconnect that will power all three of the first Exascale supercomputers in the US. “At the heart of this new interconnect is their innovative 64 port switch that provides a maximum of 200 Gb/s per port and can support Cray’s enhanced Ethernet along with standard Ethernet message passing. It also has advanced congestion control and quality of service modes that ensure that each job gets their right amount of bandwidth.”

ORNL Enlists #1 Summit Supercomputer to Combat Coronavirus

Researchers at ORNL used the Summit supercomputer to identify 77 small-molecule drug compounds that might warrant further study in the fight against the SARS-CoV-2 coronavirus, which is responsible for the COVID-19 disease outbreak. “The two researchers performed simulations on Summit of more than 8,000 compounds to screen for those that are most likely to bind to the main “spike” protein of the coronavirus, rendering it unable to infect host cells.”

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.”