CINECA Leverages IBM POWER9 with NVIDIA GPUs and InfiniBand Network for Marconi100 Accelerated Cluster

July 7, 2020

BOLOGNA, Italy and ARMONK, N.Y.July 7, 2020 — IBM and CINECAItaly’s national high-performance computing consortium, made up of the Ministry of Universities and Research (MIUR), 69 Italian universities and 11 national public Institutions, consolidated their long-standing collaboration with the new Marconi100 supercomputer, which delivers 21 Linpack petaflops, making it the 9th most powerful supercomputer in the world, and the 2nd most powerful in Europe, according to the most recent iteration of the Top500 ranking.

The new IBM POWER9 accelerated cluster at CINECA in Italy. Photo credit: CINECA

The new system was built by IBM using the same IBM POWER9 technology and NVIDIA V100 Tensor Core GPUs as the world’s smartest AI supercomputer, the US Department of Energy’s Summit system, and according to measurements conducted by CINECA, offers nearly 32 theoretical peak petaflops of computing power.

With Marconi100, CINECA reaffirms its mission as a leading supercomputing research center with a new Tier0 supercomputer, the highest-performing classification for European systems. Marconi100 will support European researchers, through the PRACE initiative, and Italian researchers through the Italian Supercomputing Resource Allocation initiative (ISCRA), equipping them with additional computing resources to face the socioeconomic challenges of our time such as climate change, renewable energy, sustainable economics, and precision medicine.

In addition, by drastically cutting the time to insights through digital simulation, supercomputing can accelerate knowledge and decision support and can be of great help in dealing with risk management situations, like measuring environmental impact, or crisis management situations such as earthquakes or other extreme events like the current pandemic.

In particular, one of the first projects for Marconi100 is research around COVID-19 therapies that are able to reduce the pathogenic aggressiveness of the virus. For example, it will digitally simulate the behavior of proteins that allow the virus to replicate to better identify molecules and pharmaceutical compounds able to inhibit it. CINECA is already a partner in many projects at both national and international levels and participates in the Exscalate4CoV project, funded by the European Commission under the emergency procedure.

“The Marconi100 project is part of a long, fruitful collaboration with the Inter-university Consortium involving also our centers of excellence in Europe,” said Enrico Cereda, GM, IBM Italy. “With the same technology as two of the top three supercomputers in the world, Marconi100 will follow in their footsteps and offer the community of researchers the computing power necessary to accelerate the discovery of a cure against COVID-19. As the activity of the Summit system shows, without the availability of these architectures it would take much longer, incompatible with the urgent need to find a solution. We are proud to be at CINECA’s side, and the country’s, in this and other important scientific challenges.”

“With the installation of the Marconi100 accelerated cluster, the Marconi project is completed for the persistent evolution of the CINECA calculation system started in 2016 which, today, allows us to have an aggregate computing power of about 50 petaflops. The Marconi100 partition, with the experience gained by IBM with the US Department of Energy’s Summit and Sierra projects, will allow us to provide the national and European scientific community access to a supercomputing system of great production stability and high quality of service,” President of CINECA Eugenio Di Sciascio said.

“This confirms the centrality of the CINECA Consortium in the development of research in the academic and industrial field as it happens with Exscalate4CoV, a project led by the pharmaceutical company Dompé, engaged in research and evaluation of proteins for the fight against coronavirus,” CINECA GM David Vannozzi said.

CINECA is a partner of more than 20 international projects for the development of the European HPC infrastructure and its technological and application ecosystem, in the field of plasma physics with the Eurofusion project, whose aim is to determine a significant progress in fusion energy production; in matter and materials science with the MAX – Material Science at Exascale project; in industrial engineering with the Exellerat Engineering project; in solid earth physics with the Cheese Solid Earth project: projects that will benefit from the high processing capacity provided by Marconi100.

IBM POWER9 Accelerates Discovery

The design and integration of the Marconi100 accelerated cluster are the results of IBM’s experience building the world’s two smartest AI supercomputers: the US Dept of Energy’s Summit and Sierra.

Similar to these two systems, the architecture of Marconi100 uses IBM POWER9 processors and NVIDIA V100 Tensor Core GPUs as well as high-performance NVIDIA Mellanox InfiniBand interconnect in a high-performance, high-scalability Dragonfly+ topology. Marconi100 also benefits from eight petabytes of IBM Elastic Storage Server with IBM Spectrum Scale to sustain high-performance IO throughput and offer a balanced computational and IO architecture.

The use of an accelerated computing architecture is anticipated to improve productivity for many applications, affecting a significant performance increase at both at the individual server node level as well as an aggregated cluster connected through the high-performance InfiniBand network.

In terms of energy sustainability, the increased processing power will not lead to an increase in consumption. The new system will be able to count on greater energy efficiency for the same processing capacity by a factor equal to about three times CINECA’s pre-existing system.


Source: IBM 

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

AI Saves the Planet this Earth Day

April 22, 2024

Earth Day was originally conceived as a day of reflection. Our planet’s life-sustaining properties are unlike any other celestial body that we’ve observed, and this day of contemplation is meant to provide all of us Read more…

Intel Announces Hala Point – World’s Largest Neuromorphic System for Sustainable AI

April 22, 2024

As we find ourselves on the brink of a technological revolution, the need for efficient and sustainable computing solutions has never been more critical.  A computer system that can mimic the way humans process and s Read more…

Empowering High-Performance Computing for Artificial Intelligence

April 19, 2024

Artificial intelligence (AI) presents some of the most challenging demands in information technology, especially concerning computing power and data movement. As a result of these challenges, high-performance computing Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that have occurred about once a decade. With this in mind, the ISC Read more…

2024 Winter Classic: Texas Two Step

April 18, 2024

Texas Tech University. Their middle name is ‘tech’, so it’s no surprise that they’ve been fielding not one, but two teams in the last three Winter Classic cluster competitions. Their teams, dubbed Matador and Red Read more…

2024 Winter Classic: The Return of Team Fayetteville

April 18, 2024

Hailing from Fayetteville, NC, Fayetteville State University stayed under the radar in their first Winter Classic competition in 2022. Solid students for sure, but not a lot of HPC experience. All good. They didn’t Read more…

AI Saves the Planet this Earth Day

April 22, 2024

Earth Day was originally conceived as a day of reflection. Our planet’s life-sustaining properties are unlike any other celestial body that we’ve observed, Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that ha Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use o Read more…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pre Read more…

Exciting Updates From Stanford HAI’s Seventh Annual AI Index Report

April 15, 2024

As the AI revolution marches on, it is vital to continually reassess how this technology is reshaping our world. To that end, researchers at Stanford’s Instit Read more…

Intel’s Vision Advantage: Chips Are Available Off-the-Shelf

April 11, 2024

The chip market is facing a crisis: chip development is now concentrated in the hands of the few. A confluence of events this week reminded us how few chips Read more…

The VC View: Quantonation’s Deep Dive into Funding Quantum Start-ups

April 11, 2024

Yesterday Quantonation — which promotes itself as a one-of-a-kind venture capital (VC) company specializing in quantum science and deep physics  — announce Read more…

Nvidia’s GTC Is the New Intel IDF

April 9, 2024

After many years, Nvidia's GPU Technology Conference (GTC) was back in person and has become the conference for those who care about semiconductors and AI. I Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Leading Solution Providers

Contributors

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Eyes on the Quantum Prize – D-Wave Says its Time is Now

January 30, 2024

Early quantum computing pioneer D-Wave again asserted – that at least for D-Wave – the commercial quantum era has begun. Speaking at its first in-person Ana Read more…

GenAI Having Major Impact on Data Culture, Survey Says

February 21, 2024

While 2023 was the year of GenAI, the adoption rates for GenAI did not match expectations. Most organizations are continuing to invest in GenAI but are yet to Read more…

The GenAI Datacenter Squeeze Is Here

February 1, 2024

The immediate effect of the GenAI GPU Squeeze was to reduce availability, either direct purchase or cloud access, increase cost, and push demand through the roof. A secondary issue has been developing over the last several years. Even though your organization secured several racks... Read more…

Intel’s Xeon General Manager Talks about Server Chips 

January 2, 2024

Intel is talking data-center growth and is done digging graves for its dead enterprise products, including GPUs, storage, and networking products, which fell to Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire