GCS Awards Close to 1 Billion Compute Core Hours to Support National Research

May 22, 2015

BERLIN, Germany, May 22 – German researchers’ demand for High Performance Computing (HPC) power and cutting-edge supercomputing technology remains high. With the 13th edition of its bi-annual Calls for Large-Scale Projects, the Gauss Centre for Supercomputing (GCS) awarded again close to 1 billion compute core hours to scientifically outstanding national research projects: 16 simulation projects from scientific fields such as Scientific Engineering, Meteorology, Astrophysics, Elementary Particle Physics, Nuclear Physics, and Theoretical Chemistry received a total allocation of 977 million compute core hours on GCS’s HPC systems. The consortia of national researchers whose projects were selected will have access to the GCS supercomputing resources as of immediately for a period of 12 months.

For the latest edition of its Large-Scale Calls, which closed in late February 2015, the GCS counted requests for a record-number of in sum 1.75 billion compute core hours spread over 22 research projects. While 16 applications fulfilled the very strict qualification criteria of the GCS Scientific Steering Committee, the number of compute hours allocated to the individual projects had to be cut back in almost all cases as the demand for computing time exceeded the available capacities of the GCS HPC centres HLRS (High Performance Computing Center Stuttgart), JSC (Jülich Supercomputing Centre), and LRZ (Leibniz Supercomputing Centre Garching/Munich.

Two of the approved projects feature a novelty what the use of GCS HPC resources is concerned: computing time for their simulations has been divided up between two different GCS supercomputers in order to fully leverage the specific features of the complementing system architectures: While one Scientific Engineering project uses JUQUEEN of JSC (an IBM BlueGene/Q system) and the Cray XC40-system of HLRS’s Hornet for its calculations, the second project from the field of Elementary Particle Physics utilizes both the JUQUEEN platform as well as SuperMUC of LRZ (IBM System X iDataPlex).

“The fact that requests for computing time on our HPC systems remain on such a high level confirms the added value our cutting-edge HPC technology provides to the community of national researchers and scientists,” explains Professor Dr.-Ing. Siegfried Wagner, Chairman of the GCS Scientific Steering Committee. “The technological possibilities available today paired with the expertise of both the highly skilled users as well as the first-class technological support provided by the HPC centres supply an excellent foundation to support research activities of highest complexity. This feeds justified hope for more break-through findings achieved with the help of our HPC systems,” affirms Professor Wagner.

With the 13th Call for Large-Scale Projects, the largest individual allocations of compute time on the three GCS Tier-0 HPC systems are:

Hornet of High Performance Center Stuttgart (HLRS):

  • Computing time granted: 115 million core hours (plus 55 million core hours on JUQUEEN)
  • Project Title: Simulation of Jet Engine and Axial Fan Noise
  • Principal Investigator: Dr.-Ing. Matthias Meinke, Institute of Aerodynamics of RWTH Aachen University

JUQUEEN of Jülich Supercomputing Centre (JSC):

  • Computing time granted: 85 million core hours
  • Project Title: Hadronic corrections to the muon magnetic moment
  • Principal Investigator: Prof. Kalman Szabo, Institute of Theoretical Physics, Bergische Universität Wuppertal

SuperMUC of Leibniz Supercomputing Centre Garching/Munich (LRZ):

  • Computing time granted: 50 million core hours
  • Project Title: Towards Resolving the Turbulent Cascade in Self-Consistent 3D Core-Collapse Supernova-Simulations
  • Principal Investigator: Dr. Hans-Thomas Janka, Max-Planck-Institut für Astrophysik, Garching

The complete list of approved GCS Large-Scale Projects (13th Call) can be found at http://www.gauss-centre.eu/gauss-centre/EN/Projects/LargeScaleProjects/call-13.html.

The GCS Calls for Large-Scale Projects application procedure and criteria for decision is described in detail at www.gauss-centre.eu/large-scale-application.

About GCS Large-Scale Projects

In accordance with the mission of the Gauss Centre for Super- computing, all scientists and researchers in Germany have access to the petascale HPC systems of Germany’s leading supercomputing institution. Projects are classified as “large-scale” if they require more than 35 million compute core hours in one year on a GCS member centre’s high-end system. Computing time on the GCS systems is allocated by the GCS Scientific Steering Committee to scientifically leading, ground- breaking projects which deal with complex, demanding, and innovative simulations that would not be possible without the GCS petascale infrastructure. The projects are evaluated via a strict peer-review process on the basis of the project’s scientific and technical excellence.

About GCS

The Gauss Centre for Supercomputing (GCS) combines the three national supercom- puting centres HLRS (High Performance Computing Center Stuttgart), JSC (Jülich Supercomputing Centre), and LRZ (Leibniz Supercomputing Centre, Garching near Munich) into Germany’s Tier-0 supercomputing institution. Concertedly, the three centres provide the largest and most powerful supercomputing infrastructure in all of Europe to serve a wide range of industrial and research activities in various disciplines. They also provide top-class training and education for the national as well as the European High Performance Computing (HPC) community.

GCS is the German member of PRACE (Partnership for Advance Computing in Europe), an international non-profit association consisting of 25 member countries, whose representative organizations create a pan-European supercomputing infrastructure, providing access to computing and data management resources and services for large-scale scientific and engineering applications at the highest performance level.

Source: GCS

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!

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

March 18, 2024

Nvidia's latest and fastest GPU, code-named Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from its predecessors, including the red-hot H100 and A100 GPUs. Read more…

Nvidia Showcases Quantum Cloud, Expanding Quantum Portfolio at GTC24

March 18, 2024

Nvidia’s barrage of quantum news at GTC24 this week includes new products, signature collaborations, and a new Nvidia Quantum Cloud for quantum developers. While Nvidia may not spring to mind when thinking of the quant Read more…

2024 Winter Classic: Meet the HPE Mentors

March 18, 2024

The latest installment of the 2024 Winter Classic Studio Update Show features our interview with the HPE mentor team who introduced our student teams to the joys (and potential sorrows) of the HPL (LINPACK) and accompany Read more…

Houston We Have a Solution: Addressing the HPC and Tech Talent Gap

March 15, 2024

Generations of Houstonian teachers, counselors, and parents have either worked in the aerospace industry or know people who do - the prospect of entering the field was normalized for boys in 1969 when the Apollo 11 missi Read more…

Apple Buys DarwinAI Deepening its AI Push According to Report

March 14, 2024

Apple has purchased Canadian AI startup DarwinAI according to a Bloomberg report today. Apparently the deal was done early this year but still hasn’t been publicly announced according to the report. Apple is preparing Read more…

Survey of Rapid Training Methods for Neural Networks

March 14, 2024

Artificial neural networks are computing systems with interconnected layers that process and learn from data. During training, neural networks utilize optimization algorithms to iteratively refine their parameters until Read more…

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

March 18, 2024

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

Nvidia Showcases Quantum Cloud, Expanding Quantum Portfolio at GTC24

March 18, 2024

Nvidia’s barrage of quantum news at GTC24 this week includes new products, signature collaborations, and a new Nvidia Quantum Cloud for quantum developers. Wh Read more…

Houston We Have a Solution: Addressing the HPC and Tech Talent Gap

March 15, 2024

Generations of Houstonian teachers, counselors, and parents have either worked in the aerospace industry or know people who do - the prospect of entering the fi Read more…

Survey of Rapid Training Methods for Neural Networks

March 14, 2024

Artificial neural networks are computing systems with interconnected layers that process and learn from data. During training, neural networks utilize optimizat Read more…

PASQAL Issues Roadmap to 10,000 Qubits in 2026 and Fault Tolerance in 2028

March 13, 2024

Paris-based PASQAL, a developer of neutral atom-based quantum computers, yesterday issued a roadmap for delivering systems with 10,000 physical qubits in 2026 a Read more…

India Is an AI Powerhouse Waiting to Happen, but Challenges Await

March 12, 2024

The Indian government is pushing full speed ahead to make the country an attractive technology base, especially in the hot fields of AI and semiconductors, but Read more…

Charles Tahan Exits National Quantum Coordination Office

March 12, 2024

(March 1, 2024) My first official day at the White House Office of Science and Technology Policy (OSTP) was June 15, 2020, during the depths of the COVID-19 loc Read more…

AI Bias In the Spotlight On International Women’s Day

March 11, 2024

What impact does AI bias have on women and girls? What can people do to increase female participation in the AI field? These are some of the questions the tech Read more…

Alibaba Shuts Down its Quantum Computing Effort

November 30, 2023

In case you missed it, China’s e-commerce giant Alibaba has shut down its quantum computing research effort. It’s not entirely clear what drove the change. 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…

Analyst Panel Says Take the Quantum Computing Plunge Now…

November 27, 2023

Should you start exploring quantum computing? Yes, said a panel of analysts convened at Tabor Communications HPC and AI on Wall Street conference earlier this y Read more…

DoD Takes a Long View of Quantum Computing

December 19, 2023

Given the large sums tied to expensive weapon systems – think $100-million-plus per F-35 fighter – it’s easy to forget the U.S. Department of Defense is a 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…

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…

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…

Leading Solution Providers

Contributors

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…

Training of 1-Trillion Parameter Scientific AI Begins

November 13, 2023

A US national lab has started training a massive AI brain that could ultimately become the must-have computing resource for scientific researchers. Argonne N 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…

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…

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…

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…

Google Introduces ‘Hypercomputer’ to Its AI Infrastructure

December 11, 2023

Google ran out of monikers to describe its new AI system released on December 7. Supercomputer perhaps wasn't an apt description, so it settled on Hypercomputer 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…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire