GCS Assigns 753.6 Million Computing Core Hours to National Science Projects

November 13, 2013

BERLIN, Germany, Nov. 13 —  National scientists and researchers’ demand for computing time on the high performance computing systems of the Gauss Centre for Supercomputing (GCS) continues to be unabated. The 10th GCS Call for Large- Scale Projects, which was open from July 30 to August 30, 2013 resulted in a record amount of computing time granted to ambitious German computational science and emngineering projects: The total number of 753.58 million computing core hours assigned means the largest grant of computing time ever allocated by the GCS Steering Committee. The projects awarded access to the vast GCS supercomputing resources come from a wide array of scientific fields including Astrophysics, Chemistry, High Energy Physics, and Scientific Engineering.

From the 19 applications submitted, a total of 13 national computational science projects met the strict GCS large-scale project qualification criteria and were awarded with the highly coveted computing time on the GCS high performance computing (HPC) systems. The TOP5 individual allotments of computing core hours were granted to the following outstanding projects:

Astrophysics:

• Magneticum Dr. Klaus Dolag, Ludwig-Maximilians-Universität München 45M core hours on SuperMUC of Leibniz Supercomputing Centre Garching (LRZ)

Chemistry:

•Mechanochemistry of Covalent Bond Breaking from First Principles Simulations Prof. Dr. Dominik Marx, Ruhr-Universität Bochum 64.9M core hours on JUQUEEN of Jülich Supercomputing Centre (JSC)

High Energy Physics:

•Lattice QCD with Wilson Quarks at Zero and Non-Zero Temperature Prof. Dr. Hartmut Wittig, Johannes Gutenberg-Universität Mainz 70M core hours on JUQUEEN of Jülich Supercomputing Centre (JSC)

•2+1+1 Lattice QCD Calculations with Hex Smeared Clover Fermions Prof. Dr. Zoltan Fodor, Bergische Universität Wuppertal 65M core hours on JUQUEEN of Jülich Supercomputing Centre (JSC)

Scientific Engineering:

•LAMTUR: Investigation of Laminar-Turbulent Transition and Flow Control in Boundary Layers – Prof. Dr.-Ing. Ulrich Rist, IAG, Universität Stuttgart 125M core hours on Hermit of High Performance Computing Center Stuttgart (HLRS)

The 13 approved large-scale projects are distributed between the three GCS HPC systems Hermit of HLRS, JUQUEEN of JSC, and SuperMUC of LRZ. All three GCS systems provide computing performance in the Petaflops-range (1 Petaflops = 1 Quadrillion floating point operations per second or: a 1 with 15 zeros) and are of complementary system design and architecture to optimally respond to the needs of the researchers, developers, and engineers. For the large-scale projects of the 10th GCS call, access to computing resources and support is granted for a time period of 12 months.

“We are very happy to see that there is a steady rise in the demand for computing time on our HPC systems,” comments Prof. Dr.-Ing. Siegfried Wagner, Chairman of the GCS Steering Committee. “GCS offers world-class HPC resources to aid in scientific computing, and this is reflected in the quality of the projects our system infrastructure is being used for. Only a couple of years ago, the now supported projects would have been impossible to accommodate as they exceeded the then available GCS resources in all aspects: the infrastructure, the software and the HPC expertise. I am proud to say that meanwhile GCS has achieved the favourable position to serve projects of this magnitude,” states Prof. Wagner who points out that, like with previous calls, GCS unfortunately could not entirely fulfil the research community’s ever increasing demand for computing power. With the 10th GCS call, almost 1.5 billion computing core hours had been requested yet only half of it– 753.6 million core hours–could be granted, primarily for lack of computing resources.

Computing time allocations for GCS Large-Scale Projects are dispersed based on scientific criteria and their technical feasibility through independent reviewers in a peer-review process led by the GCS Steering Committee. The complete list of approved GCS Large Scale Projects (10th Call) can be found at http://www.gauss-centre.eu/gauss- centre/EN/Projects/LargeScaleProjects/10th-call.html

About GCS Large Scale Projects

Per the mission of the Gauss Centre for Supercomputing, 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 mio. 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 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.

The GCS Calls for Large-Scale Projects application procedure and criteria for decision is described in detail at http://www.gauss-centre.eu/gauss- centre/EN/HPCservices/HowToApply/LargeScaleProjects/largeScaleProjects_node.html

About GCS

The Gauss Centre for Supercomputing (GCS) combines the three national supercomputing 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: Gauss Centre for Supercomputing

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!

Mystery Solved: Intel’s Former HPC Chief Now Running Software Engineering Group 

April 15, 2024

Last year, Jeff McVeigh, Intel's readily available leader of the high-performance computing group, suddenly went silent, with no interviews granted or appearances at press conferences.  It led to questions -- what's 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 Institute for Human-Centered AI (HAI) put out a yearly report to t Read more…

Crossing the Quantum Threshold: The Path to 10,000 Qubits

April 15, 2024

Editor’s Note: Why do qubit count and quality matter? What’s the difference between physical qubits and logical qubits? Quantum computer vendors toss these terms and numbers around as indicators of the strengths of t 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 are available off the shelf, a concern raised at many recent 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  — announced its second fund targeting €200 million. The very idea th 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. In a way, Nvidia is the new Intel IDF, the hottest chip show 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…

Google Announces Homegrown ARM-based CPUs 

April 9, 2024

Google sprang a surprise at the ongoing Google Next Cloud conference by introducing its own ARM-based CPU called Axion, which will be offered to customers in it Read more…

Computational Chemistry Needs To Be Sustainable, Too

April 8, 2024

A diverse group of computational chemists is encouraging the research community to embrace a sustainable software ecosystem. That's the message behind a recent Read more…

Hyperion Research: Eleven HPC Predictions for 2024

April 4, 2024

HPCwire is happy to announce a new series with Hyperion Research  - a fact-based market research firm focusing on the HPC market. In addition to providing mark Read more…

Google Making Major Changes in AI Operations to Pull in Cash from Gemini

April 4, 2024

Over the last week, Google has made some under-the-radar changes, including appointing a new leader for AI development, which suggests the company is taking its 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…

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…

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…

Leading Solution Providers

Contributors

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…

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…

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