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!

Edge-to-Cloud: Exploring an HPC Expedition in Self-Driving Learning

April 25, 2024

The journey begins as Kate Keahey's wandering path unfolds, leading to improbable events. Keahey, Senior Scientist at Argonne National Laboratory and the University of Chicago, leads Chameleon. This innovative projec Read more…

Quantum Internet: Tsinghua Researchers’ New Memory Framework could be Game-Changer

April 25, 2024

Researchers from the Center for Quantum Information (CQI), Tsinghua University, Beijing, have reported successful development and testing of a new programmable quantum memory framework. “This work provides a promising Read more…

Intel’s Silicon Brain System a Blueprint for Future AI Computing Architectures

April 24, 2024

Intel is releasing a whole arsenal of AI chips and systems hoping something will stick in the market. Its latest entry is a neuromorphic system called Hala Point. The system includes Intel's research chip called Loihi 2, Read more…

Anders Dam Jensen on HPC Sovereignty, Sustainability, and JU Progress

April 23, 2024

The recent 2024 EuroHPC Summit meeting took place in Antwerp, with attendance substantially up since 2023 to 750 participants. HPCwire asked Intersect360 Research senior analyst Steve Conway, who closely tracks HPC, AI, 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, 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…

Shutterstock 1748437547

Edge-to-Cloud: Exploring an HPC Expedition in Self-Driving Learning

April 25, 2024

The journey begins as Kate Keahey's wandering path unfolds, leading to improbable events. Keahey, Senior Scientist at Argonne National Laboratory and the Uni Read more…

Quantum Internet: Tsinghua Researchers’ New Memory Framework could be Game-Changer

April 25, 2024

Researchers from the Center for Quantum Information (CQI), Tsinghua University, Beijing, have reported successful development and testing of a new programmable Read more…

Intel’s Silicon Brain System a Blueprint for Future AI Computing Architectures

April 24, 2024

Intel is releasing a whole arsenal of AI chips and systems hoping something will stick in the market. Its latest entry is a neuromorphic system called Hala Poin Read more…

Anders Dam Jensen on HPC Sovereignty, Sustainability, and JU Progress

April 23, 2024

The recent 2024 EuroHPC Summit meeting took place in Antwerp, with attendance substantially up since 2023 to 750 participants. HPCwire asked Intersect360 Resear 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…

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…

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…

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…

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