![]() ![]() “We look forward to continuing our work with HPE and AMD to usher in this new exascale era with the most capable hardware on the planet.”Įnhanced Performance for DOE’s El Capitan to remain competitive on the global stage in high performance computing for many years to come,” said Bill Goldstein, director, Lawrence Livermore National Laboratory. “The exceptional computing power promised by El Capitan, based on HPE’s Cray Shasta architecture, will ensure the NNSA laboratories can continue to excel at their national security missions and make it possible for the U.S. “We look forward to continuing our collaboration with HPE to bring together next-generation AMD EPYC CPUs and Radeon Instinct GPUs with HPE’s Cray Shasta system to power complex, data-intensive HPC and AI workloads for El Capitan that today’s systems cannot manage.” ![]() “We are pleased to continue our longstanding journey with HPE in co-developing innovative technologies for a range of solutions, and now, for the world’s most powerful, exascale-class supercomputer,” said Forrest Norrod, senior vice president and general manager of the Datacenter and Embedded Solutions Business Group, AMD. The decision to choose this architecture was based on NNSA’s strategic, mission critical requirements. DOE to combine HPE’s Cray Shasta system and Slingshot interconnect, a specialized HPC networking solution, with next-generation AMD EPYC™ processors and next-generation AMD Radeon™ Instinct GPUs. This was made possible by a new partnership between HPE, AMD and the U.S. The new performance record of 2 exaflops (2,000 petaflops) will be more powerful than the Top 200 fastest supercomputers in the world combined and is an increase of more than 30% from initially projected estimates calculated seven months ago. Systems like the DOE’s El Capitan are ushering in a new class of supercomputing with exascale-class systems that are 1,000X faster than the previous generation petascale systems first introduced 12 years ago. Understanding the dynamics and mutations of RAS proteins that are linked to 30% of human cancers by collaborating with The National Cancer Institute and other partner institutions.Accelerating cancer drug discovery from six years to one year through a partnership with the GlaxoSmithKline (GsK), a multinational pharmaceutical company, the National Cancer Institute and other DOE national laboratories through the ATOM consortium.LLNL researchers will use the system to explore new applications that integrate AI and machine learning into HPC workloads and is already applying HPE supercomputing and AI solutions to make breakthroughs in medical and drug research initiatives, including: LLNL is managing the new system for the NNSA and has developed emerging techniques that allow researchers to create faster, more accurate models for primary missions across stockpile modernization and inertial confinement fusion (ICF), a key aspect of stockpile stewardship. nuclear stockpile that are to remain safe, secure, and effective. HPE’s Cray Shasta technologies, which were built from the ground up to support a diverse set of processor and accelerator technologies to meet new levels of performance and scalability, will enable the DOE’s El Capitan to meet NNSA requirements, which include the NNSA’s Life Extension Program (LEP), a critical part of stockpile stewardship that aims to modernize aging weapons in the U.S. ![]() “The computing power and capabilities of this system represent a new era of innovation that will unlock solutions to society’s most complex issues and answer questions we never thought were possible.” Department of Energy and Lawrence Livermore National Laboratory in a critical strategic mission to advance the United States’ position in security and defense,” said Peter Ungaro, senior vice president and general manager, HPC and Mission Critical Solutions (MCS), at HPE. “As an industry and as a nation, we have achieved a major milestone in computing. Strengthening Nation’s Nuclear Stockpile, Security and Defense with Exascale Technologies The DOE’s El Capitan will use next-generation AMD EPYC™ processors, codenamed “Genoa” featuring the “Zen 4” processor core, next-generation AMD Radeon™ Instinct GPUs, based on a new compute-optimized architecture, and the 3 rd Generation AMD Infinity Architecture, which will provide a high-bandwidth, low latency connection between the CPUs and GPUs. El Capitan will provide opportunities for researchers to explore new applications using emerging, data-intensive workloads such as modeling, simulation, analytics, and AI to support future NNSA missions. HPE is optimizing the DOE’s El Capitan to power complex and time-consuming 3D exploratory simulations for NNSA missions that today’s state-of-the-art supercomputers cannot successfully manage.
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