At this year's International Supercomputing 2021 digital event, AMD (NASDAQ: AMD) is showcasing momentum for its AMD EPYC processors and AMD Instinct accelerators across the High Performance Computing (HPC) industry. The company also outlined updates to the ROCm open software platform and introduced the AMD Instinct Education and Research (AIER) initiative. The latest Top500 list showcased the continued growth of AMD EPYC processors for HPC systems. AMD EPYC processors power nearly 5x more systems compared to the June 2020 list, and more than double the number of systems compared to November 2020. As well, AMD EPYC processors power half of the 58 new entries on the June 2021 list.

"High performance computing is critical to addressing the world's biggest and most important challenges," said Forrest Norrod, senior vice president and general manager, data center and embedded systems group, AMD. "With our AMD EPYC processor family and Instinct accelerators, AMD continues to be the partner of choice for HPC. We are committed to enabling the performance and capabilities needed to advance scientific discoveries, break the exascale barrier, and continue driving innovation."

At the 2021 International Supercomputing Conference (ISC) Intel is showcasing how the company is extending its lead in high performance computing (HPC) with a range of technology disclosures, partnerships and customer adoptions. Intel processors are the most widely deployed compute architecture in the world's supercomputers, enabling global medical discoveries and scientific breakthroughs. Intel is announcing advances in its Xeon processor for HPC and AI as well as innovations in memory, software, exascale-class storage, and networking technologies for a range of HPC use cases.

"To maximize HPC performance we must leverage all the computer resources and technology advancements available to us," said Trish Damkroger, vice president and general manager of High Performance Computing at Intel. "Intel is the driving force behind the industry's move toward exascale computing, and the advancements we're delivering with our CPUs, XPUs, oneAPI Toolkits, exascale-class DAOS storage, and high-speed networking are pushing us closer toward that realization."

Intel and Argonne National Laboratory are collaborating on the co-design and validation of exascale-class applications using graphics processing units (GPUs) based on Intel Xe-HP microarchitecture and Intel oneAPI toolkits. Developers at Argonne are tapping into Intel's latest programming environments for heterogeneous computing to ensure scientific applications are ready for the scale and architecture of the Aurora supercomputer at deployment.

"Our close collaboration with Argonne is enabling us to make tremendous progress on Aurora, as we seek to bring exascale leadership to the United States. Providing developers early access to hardware and software environments will help us jumpstart the path toward exascale so that researchers can quickly start taking advantage of the system's massive computational resources." -Trish Damkroger, Intel vice president and general manager of High Performance Computing.

NVIDIA today introduced the next generation of NVIDIA Mellanox 400G InfiniBand, giving AI developers and scientific researchers the fastest networking performance available to take on the world's most challenging problems.

As computing requirements continue to grow exponentially in areas such as drug discovery, climate research and genomics, NVIDIA Mellanox 400G InfiniBand is accelerating this work through a dramatic leap in performance offered on the world's only fully offloadable, in-network computing platform. The seventh generation of Mellanox InfiniBand provides ultra-low latency and doubles data throughput with NDR 400 Gb/s and adds new NVIDIA In-Network Computing engines to provide additional acceleration.

The National Energy Research Scientific Computing Center (NERSC), the mission high-performance computing facility for the U.S. Department of Energy's Office of Science, has moved another step closer to making Perlmutter - its next-generation GPU-accelerated supercomputer - available to the science community in 2020.

In mid-April, NERSC finalized its contract with Cray - which was acquired by Hewlett Packard Enterprise (HPE) in September 2019 - for the new system, a Cray Shasta supercomputer that will feature 24 cabinets and provide 3-4 times the capability of NERSC's current supercomputer, Cori. Perlmutter will be deployed at NERSC in two phases: the first set of 12 cabinets, featuring GPU-accelerated nodes, will arrive in late 2020; the second set, featuring CPU-only nodes, will arrive in mid-2021. A 35-petabyte all-flash Lustre-based file system using HPE's ClusterStor E1000 hardware will also be deployed in late 2020.

In our last report Folding@Home was at 1.5 Exaflops and had eclipsed the theoretical El Capitan Supercomputer not due to come online until 2023. Folding@Home has gained another 900petaFLOPS and is now not only 15x more powerful than the next most powerful supercomputer, IBM's Summit but more powerful than the next 500 supercomputers combined. Researchers have been scrambling to create more simulations to run as computational performance growth has exceeded all expectations.

The TechPowerup! team is currently ranked #29 with 618 active Folders. If you want to donate some spare cycles you can download the client over at the Folding@Home web page and download the installer for your client. When setting up the client make sure to enter your TeamID as 50711 to help us rise the ladder to world domination. This is an easy way to contribute to the largest computational medical cure research project ever completing vital research on COVID-19 and various other diseases.

AMD Financial Analyst Day presents an opportunity for AMD to talk straight with the finance industry about the company's current financial health, and a taste of what's to come. Guidance and product teasers made during this time are usually very accurate due to the nature of the audience. In this live blog, we will post information from the Financial Analyst Day 2020 as it unfolds.20:59 UTC: The event has started as of 1 PM PST. CEO Dr Lisa Su takes stage.

AMD has been on a roll in both consumer, professional, and exascale computing environments, and it has just snagged itself another hugely important contract. The US Department of Energy (DOE) has just announced the winners for their next-gen, exascale supercomputer that aims to be the world's fastest. Dubbed "El Capitan", the new supercomputer will be powered by AMD's next-gen EPYC Genoa processors (Zen 4 architecture) and Radeon GPUs. This is the first such exascale contract where AMD is the sole purveyor of both CPUs and GPUs, with AMD's other design win with EPYC in the Cray Shasta being paired with NVIDIA graphics cards.

El Capitan will be a $600 million investment to be deployed in late 2022 and operational in 2023. Undoubtedly, next-gen proposals from AMD, Intel and NVIDIA were presented, with AMD winning the shootout in a big way. While initially the DOE projected El Capitan to provide some 1.5 exaflops of computing power, it has now revised their performance goals to a pure 2 exaflop machine. El Capitan willl thus be ten times faster than the current leader of the supercomputing world, Summit.

At Supercomputing 2019, Intel unveiled its vision for extending its leadership in the convergence of high-performance computing (HPC) and artificial intelligence (AI) with new additions to its data-centric silicon portfolio and an ambitious new software initiative that represents a paradigm shift from today's single-architecture, single-vendor programming models.

Addressing the increasing use of heterogeneous architectures in high-performance computing, Intel expanded on its existing technology portfolio to move, store and process data more effectively by announcing a new category of discrete general-purpose GPUs optimized for AI and HPC convergence. Intel also launched the oneAPI industry initiative to deliver a unified and simplified programming model for application development across heterogenous processing architectures, including CPUs, GPUs, FPGAs and other accelerators. The launch of oneAPI represents millions of Intel engineering hours in software development and marks a game-changing evolution from today's limiting, proprietary programming approaches to an open standards-based model for cross-architecture developer engagement and innovation.

Global supercomputer leader Cray, a Hewlett Packard Enterprise company, and leading Japanese information and communication technology company Fujitsu, today announced a partnership to offer high performance technologies for the Exascale Era. Under the alliance agreement, Cray is developing the first-ever commercial supercomputer powered by the Fujitsu A64FX Arm -based processor with high-memory bandwidth (HBM) and supported on the proven Cray CS500 supercomputer architecture and programming environment. Initial customers include Los Alamos National Laboratory, Oak Ridge National Laboratory, RIKEN Center for Computational Science, Stony Brook University, and University of Bristol. As part of this new partnership, Cray and Fujitsu will explore engineering collaboration, co-development, and joint go-to-market to meet customer demand in the supercomputing space.

"Our partnership with Fujitsu means customers now have a broader choice of processor technology to address their pressing computational needs," said Fred Kohout, senior vice president and CMO at Cray, a Hewlett Packard Enterprise company. "We are delivering the development-to-deployment experience customers have come to expect from Cray, including exploratory development to the Cray Programming Environment (CPE) for Arm processors to optimize performance and scalability with additional support for Scalable Vector Extensions and high bandwidth memory."

NVIDIA today announced its support for Arm CPUs, providing the high performance computing industry a new path to build extremely energy-efficient, AI-enabled exascale supercomputers. NVIDIA is making available to the Arm ecosystem its full stack of AI and HPC software - which accelerates more than 600 HPC applications and all AI frameworks - by year's end. The stack includes all NVIDIA CUDA-X AI and HPC libraries, GPU-accelerated AI frameworks and software development tools such as PGI compilers with OpenACC support and profilers. Once stack optimization is complete, NVIDIA will accelerate all major CPU architectures, including x86, POWER and Arm.

"Supercomputers are the essential instruments of scientific discovery, and achieving exascale supercomputing will dramatically expand the frontier of human knowledge," said Jensen Huang, founder and CEO of NVIDIA. "As traditional compute scaling ends, power will limit all supercomputers. The combination of NVIDIA's CUDA-accelerated computing and Arm's energy-efficient CPU architecture will give the HPC community a boost to exascale."

This here is an interesting piece of tech news for sure, in that Intel has already scored a pretty massive design win for not one, but two upcoming products. Intel's "Future Xeon Scalable Processors" and the company's "Xe Compute Architecture" have been tapped by the U.S. Department of Energy for incorporation into the new AURORA Supercomputer - one that will deliver exascale performance. AURORA is to be developed in a partnership between Intel and Cray, using the later's Shasta systems and its "Slingshot" networking fabric. But these are not the only Intel elements in the supercomputer design: Intel's DC Optane persistent memory will also be employed (in an as-of-yet-unavailable version of it as well), making this a full win across the prow for Intel.