Tag Archives: Supercomputing

AMD EPYC : Four Supercomputers In Top 50, Ten In Top 500!

AMD is on the roll, announcing more supercomputing wins for their 2nd Gen EPYC processors, including four supercomputers in the top 50 list, and ten in the top 500!


2nd Gen AMD EPYC : A Quick Primer

The 2nd Gen AMD EPYC family of server processors are based on the AMD Zen 2 microarchitecture and fabricated on the latest 7 nm process technology.

According to AMD, they offer up to 90% better integer performance and up to 79% better floating-point performance, than the competing Intel Xeon Platinum 8280 processor. For more details :

Here is a quick 7.5 minute summary of the 2nd Gen EPYC product presentations by Dr. Lisa Su, Mark Papermaster and Forrest Norrod!


AMD EPYC : Four Supercomputers In Top 50, Ten In Top 500!

Thanks to the greatly improved performance of their 2nd Gen EPYC processors, they now power four supercomputers in the top 50 list :

Top 50 Rank Supercomputer Processor
7 Selene
30 Belenos
Atos BullSequana XH2000
34 Joilot-Curie
Atos BullSequana XH2000
48 Mahti
Atos BullSequana XH2000

On top of those four supercomputers, there are another six other supercomputers in the Top 500 ranking, powered by AMD EPYC.

In addition to powering supercomputers, AMD EPYC 7742 processors will soon power Gigabyte servers selected by CERN to handle data from their Large Hadron Collider (LHC).


3rd Gen AMD EPYC Supercomputers

AMD also announced that two universities will deploy Dell EMC PowerEdge servers powered by the upcoming 3rd Gen AMD EPYC processors.

Indiana University

Indiana University will deploy Jetstream 2 – an eight-petaflop distributed cloud computing system, powered by the upcoming 3rd Gen AMD EPYC processors.

Jetstream 2 will be used by researchers in a variety of fields like AI, social sciences and COVID-19 research.

Purdue University

Purdue University will deploy Anvil – a supercomputer powered by the upcoming 3rd Gen AMD EPYC processors, for use in a wide range of computational and data-intensive research.

AMD EPYC will also power Purdue University’s community cluster “Bell”, scheduled for deployment in the fall.


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El Capitan Supercomputer : AMD Selected As Node Supplier!

It’s official – AMD has been selected as the node supplier for the El Capitan supercomputer, which is projected to be the world’s most powerful supercomputer when it is fully deployed!


El Capitan Supercomputer : A Quick Primer!

El Capitan is a supercomputer funded by the Advanced Simulation and Computing (ASC) program at the National Nuclear Security Administration (NNSA) from the Department of Energy.

When it is fully deployed in 2023, it will perform complex and increasingly predictive modelling and simulation for the NNSA’s Life Extension Programs (LEPs), which addresses nuclear weapon raging and emergent threat issues.

This will allow the United States to keep its nuclear stockpile safe, secure and reliable, in the absence of underground nuclear testing.

“This unprecedented computing capability, powered by advanced CPU and GPU technology from AMD, will sustain America’s position on the global stage in high-performance computing and provide an observable example of the commitment of the country to maintaining an unparalleled nuclear deterrent,” said LLNL Director Bill Goldstein.

“Today’s news provides a prime example of how government and industry can work together for the benefit of the entire nation.”

Besides supporting the nuclear stockpile, El Capitan will perform secondary US national security missions, including nuclear nonproliferation and counterterrorism.

NNSA laboratories – Lawrence Livermore, Los Alamos and Sandia national laboratories – are building machine learning and AI into computational techniques and analysis that will benefit NNSA’s primary missions and unclassified projects such as climate modelling and cancer research for DOE.

To that end, it will use a combination of CPUs and GPUs to exceed 2 exaFLOPS in performance – that’s two quintillion floating point operations per second. That will make it the world’s most powerful supercomputer!


El Capitan Supercomputer : AMD Selected As Node Supplier!

El Capitan will be powered by the next-generation AMD EPYC processors, codenamed Genoa and featuring the upcoming AMD Zen 4 processor cores, as well as the next-generation AMD Radeon Instinct GPUs based on a new compute-optimised architecture.

The nodes will run on the AMD Radeon Open Compute (ROCm) heterogenous computing platform, with most of their floating point computing power delivered by the Radeon Instinct GPUs.

Not only will the El Capitan nodes offer significantly greater per-node performance than any current system, they will also offer dramatically better energy efficiency.

El Capitan will also integrated advanced features that have not yet been widely deployed, including :

  • HPE Cray Slingshot interconnect network, which will enable large calculations across many nodes
  • new HPE optics technologies to deliver higher data transmission rates with better power efficiency and reliability
  • new Cray Shasta software platform, with a new container-based architecture

“El Capitan will drive unprecedented advancements in HPC and AI, powered by the next-generation AMD EPYC CPUs and Radeon Instinct GPUs,” said Forrest Norrod, senior vice president and general manager, Datacenter and Embedded Systems Group, AMD.

“Building on our strong foundation in high-performance computing and adding transformative coherency capabilities, AMD is enabling the NNSA Tri-Lab community — LLNL, Los Alamos and Sandia national laboratories — to achieve their mission-critical objectives and contribute new AI advancements to the industry.”

“We are extremely proud to continue our exascale work with HPE and NNSA and look forward to the delivery of the most powerful supercomputer in the world, expected in early 2023.”


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SMU Deploys NVIDIA DGX-1 Supercomputer For AI Research

Singapore, 30 November 2016NVIDIA today announced that Singapore Management University (SMU) is the first organisation in Singapore and Southeast Asiato deploy an NVIDIA DGX-1 deep learning supercomputer.

Deployed at the SMU Living Analytics Research Center (LARC), the supercomputer will further research on applying artificial intelligence (AI) for Singapore’s Smart Nation project. Established in 2011, LARC aims to innovate technologies and software platforms that are relevant to Singapore’s Smart Nation efforts. LARC is supported and funded by the National Research Foundation (NRF).



The NVIDIA DGX-1 is the world’s first deep learning supercomputer to meet the computing demands of AI. It enables researchers and data scientists to easily harness the power of GPU-accelerated computing to create a new class of computers that learn, see and perceive the world as humans do.

Providing through put equivalent to 250 conventional servers in a single box, the supercomputer delivers the highest levels of computing power to drive next-generation AI applications, allowing researchers to dramatically reduce the time to train larger, more sophisticated deep neural networks.

Built on NVIDIA Tesla P100 GPUs that use the latest Pascal GPU architecture, the DGX-1 supercomputer will enable SMU to conduct a range of AI research projects for Smart Nation. One of the featured projects is a food AI application to achieve smart food consumption and healthy lifestyle, which requires the analysis of a large number of food photos.

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“This project involves the processing of large amounts of unstructured and visual data. Food photo recognition is not possible without the DGX-1 solution, which applies cutting-edge deep learning technologies and yields excellent recognition accuracy,” said Professor Steven Hoi, School of Information Systems, SMU.

The first phase of the food AI project is able to recognise 100 of the most popular local dishes in Singapore. The next phase is to expand the current food database to about 1,000 popular food dishes in Singapore. In addition to the recognition of food photos, the team will also analyse food data in supermarkets to help with the recommendation of healthy food options.Once developed, the food AI solution will be made available to developers through an API for them to build smart food consumption solutions.

“SMU has been an NVIDIA GPU Research Center using Tesla GPUs for several years. The NVIDIA DGX-1 will give SMU researchers the performance and deep learning capabilities needed to work on their Smart Nation projects, which will further advance Singapore’s aspirations,” said Raymond Teh, vice president of sales and marketing for Asia Pacific, NVIDIA.


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