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ExaNeSt Project Successfully Builds Prototype for Exascale

In this video, researchers describe the results from the ExaNeSt project. “The prototype is now successfully built, demonstrating energy efficiency in a High-Performance Computing (HPC) testbed: the energy consumed for solving a given problem on this new platform is 3 to 10 times lower than what traditional HPC processors of the same time generation consume for solving the same problem. The substantial prototype has been validated through the execution of full HPC applications from materials science, climate forecasting, computational fluid dynamics, astrophysics, neuroscience, and a database.”

Video: The Cray Shasta Architecture

In this video from the HPC User Forum at Argonne, Steve Scott from Cray presents: The Cray Shasta Architecture. The DOE has selected the Shasta architecture to power all three of their planned Exascale systems coming to Argonne, ORNL, and LLNL. “Shasta allows for multiple processor and accelerator architectures and a choice of system interconnect technologies, including our new Cray-designed and developed interconnect we call Slingshot.”

Podcast: ECP Team Achieves Huge Performance Gain on Materials Simulation Code

The Exascale Atomistics for Accuracy, Length, and Time (EXAALT) project within the US Department of Energy’s Exascale Computing Project (ECP) has made a big step forward by delivering a five-fold performance advance in addressing its fusion energy materials simulations challenge problem. “Summit is at roughly 200 petaflops, so by the time we go to the exascale, we should have another factor of five. That starts to be a transformative kind of change in our ability to do the science on these machines.”

Podcast: Cray Pulls an Exascale Hat Trick

In this podcast, the Radio Free HPC looks at Cray’s series of big wins for DOE Exascale systems. “Guess who’s having a great year? Think Aurora, Frontier, and El Capitan. Cray has put some nice numbers on the accounts receivable ledger, and these are not ordinary numbers. The Exascale era is being defined substantially by the DOE Coral program and the commercial markets are watching as their computing needs start looking like those of the national labs.”

Atos and C-DAC to Collaborate on AI, Quantum Computing, and Exascale in India

Atos and India’s C-DAC have signed a Cooperation Agreement to work together in the areas of Quantum Computing, Artificial Intelligence, and Exascale Computing. “Building on our position as the leading technology provider globally for Supercomputing, AI, Quantum Computing and others, this agreement is a significant step forward in our strategic relationship. This will strengthen the R&D activities between France and India with C-DAC and Atos significantly contributing to technology development and nation economic growth.”

IBM’s HPC Dreams are Tattered

In this special guest feature, Dan Olds from writes that IBM ambitions in the HPC market have fallen short. “Without more commitment and support, IBM’s POWER processor runs the risk of becoming this generations version of the DEC Alpha CPU. It was a fantastic processor and ran rings around competitors, but ultimately failed because of a lack of marketing and operating environment support from DEC.”

Video: Three Perspectives on Message Passing

Robert Harrison from Brookhaven gave this talk at the MVAPICH User Group. “MADNESS, TESSE/EPEXA, and MolSSI are three quite different large and long-lived projects that provide different perspectives and driving needs for the future of message passing. All three of these projects employ MPI and have a vested interest in computation at all scales, spanning the classroom to future exascale systems.”

Exascale CANDLE Project to Fight Against Cancer

The CANcer Distributed Learning Environment, or CANDLE, is a cross-cutting initiative of the Joint Design of Advanced Computing Solutions for Cancer collaboration and is supported by DOE’s Exascale Computing Project (ECP). CANDLE is building a scalable deep learning environment to run on DOE’s most powerful supercomputers. The goal is to have an easy-to-use environment that can take advantage of the full power of these systems to find the optimal deep-learning models for making predictions in cancer.

Podcast: ExaStar Project Seeks Answers in Cosmos

In this podcast, Daniel Kasen from LBNL and Bronson Messer of ORNL discuss advancing cosmology through EXASTAR, part of the Exascale Computing Project. “We want to figure out how space and time get warped by gravitational waves, how neutrinos and other subatomic particles were produced in these explosions, and how they sort of lead us down to a chain of events that finally produced us.”

Cray Shasta Software to Power Exascale Era

Today Cray a new, open and extensible software platform to address the growing need for supercomputing across government and private industries. As advanced simulation, artificial intelligence (AI) and digital transformation create new, data intensive workloads, the need for performance at scale is growing rapidly. Recognizing the challenges presented by the exascale era, Cray’s software fuses supercomputing performance and capability with the modularity, composability and ease-of-use of cloud computing.