GCS Grants More Than 1 Billion Computing Core Hours to National Large-Scale Research Projects

May 14, 2019

BERLIN, May 14, 2019 — Demand for computing time for large-scale simulation projects requiring access to leading-edge high-performance computing (HPC) technologies continues on an unabated high in Germany. With the Gauss Centre for Supercomputing’s (GCS’s) 21st Large-Scale Call, the GCS scientific steering committee approved the allocation of 1.171 billion core hours of computing time to 13 outstanding national research projects, which, for their successful completion, not only require cutting-edge HPC technologies, but also exceptional technical and scientific user service and support. The researchers awarded computing time allocations on the German Tier 0/1 supercomputing systems Hazel Hen at the High-Performance Computing Center Stuttgart (HLRS), JUWELS at the Jülich Supercomputing Centre (JSC), and SuperMUC-NG at the Leibniz Supercomputing Centre (LRZ) will have access to these world-class HPC systems starting immediately and running for a period of 12 months.

For the 21st GCS Large-Scale Call, almost 30 project applications with a total of more than 2 billion core hours of computing time requests were submitted to the GCS Coordination Office. The ambitious simulation projects cover a wide range of scientific disciplines, including fluid mechanics, astrophysics and astronomy, geochemistry, nuclear and elementary particle physics, quantum mechanics, physical and theoretical chemistry and condensed matter physics, among others.

All three GCS facilities are currently in various stages of installing their newest HPC systems—SuperMUC-NG at LRZ is completing its start-up phase; at JSC, the planning of the eagerly awaited extension of it’s modular HPC system, JUWELS, by a booster module is ongoing and the development phase is expected to start soon; at HLRS, supercomputer Hazel Hen is about to be replaced by its successor system, Hawk, an AMD-based HPC system provided by Hewlett-Packard Enterprise. To that end, the selection procedure for the current GCS large-scale call had to be very strict, allowing only a limited number of projects to be approved.

“The strong response to this edition of the GCS Large-Scale Call clearly demonstrates that large compute time allocations and cutting-edge HPC power and technologies remains in extremely high demand,” explains Prof. Dr. Dieter Kranzlmüller, Chair of the Board and Managing Director of the Leibniz Supercomputing Centre and newly appointed Chair of the Board of Directors at the Gauss Centre for Supercomputing. “We very much look forward to providing the hardware of our leadership-class systems and the minds of our HPC software and scaling specialists in support of the ambitious national scientific and industrial research activities. As all three GCS centres advance forward on the path to exascale computing in Germany, we are as committed as ever to meet the researchers’ ever-growing computing needs in modelling and simulation, data analytics and artificial intelligence.”

With 234 million core hours on HLRS’ HPC system Hazel Hen, the largest individual allocation of computing time was awarded to a fluid mechanics project under the leadership of Dr.-Ing. Markus Kloker of the Institute of Aerodynamics and Gas Dynamics at the University of Stuttgart (project LAMTUR – Investigation of Laminar-Turbulent Transition and Flow Control in Boundary Layers).

For his research project “MillenniumTNG: Linking cosmology and hydrodynamical simulations of galaxy formation,” Prof. Dr. Volker Springel, Director of the Max Planck Institute for Astrophysics (MPA) in Garching near Munich, and his team were awarded almost 190 million core hours on LRZ’s HPC system SuperMUC-NG, marking the second largest individual computing time allocation of the current GCS call.

The complete list of awarded projects of the GCS 21st Large-Scale Call can be found here.

About GCS Large-Scale Projects

In accordance with the mission of the Gauss Centre for Supercomputing, all scientists and researchers in Germany are eligible to apply for computing time on the petascale HPC systems of Germany’s leading supercomputing institution. Projects are classified as “large-scale” if they require more than 35 million 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 projects’ scientific and technical excellence.

The GCS Calls for Large-Scale Projects application procedure and criteria for decision are described in detail here.

About GCS

The Gauss Centre for Supercomputing (GCS) combines the three German national supercomputing centres HLRS (High Performance Computing Center Stuttgart), JSC (Jülich Supercomputing Centre), and LRZ (Leibniz Supercomputing Centre, Garching near Munich) into Germany’s integrated Tier-0 supercomputing institution. Together, the three centres provide the largest, most powerful supercomputing infrastructure in all of Europe to serve a wide range of academic and industrial research activities in various disciplines. They also provide top-tier 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 Advanced Computing in Europe), an international non-profit association consisting of 24 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.

GCS is jointly funded by the German Federal Ministry of Education and Research and the federal states of Baden-Württemberg, Bavaria, and North Rhine-Westphalia. It is headquartered in Berlin, Germany. For more information, please visit www.gauss-centre.eu.


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!

2024 Winter Classic: Meet Team Lobo

May 5, 2024

This is the other team from University of New Mexico, since there are two, right? This team has some significant cluster competition experience with two veterans of previous Winter Classic and SC events. It’s a nice mi Read more…

2024 Winter Classic: Meet Team UC Santa Cruz

May 4, 2024

It was a quiet Valentine’s Day evening when I interviewed the UC Santa Cruz team. Since none of us seemed to have any plans, it seemed like a good time to do it. But there was some good news for the Santa Cruz team Read more…

2024 Winter Classic: Meet the Roadrunners

May 4, 2024

This is the other team from the University of New Mexico. I mistakenly thought that one of their team members was going to make history by being the first competitor to compete for two different schools – but I was wro Read more…

2024 Winter Classic: Meet Channel Islands “A”

May 3, 2024

This is the second team from California State University, Channel Islands – or maybe it’s the first team? Not sure, but I do know they have two teams total, and this is one of them. As you’ll see in the video in Read more…

Intersect360 Research Takes a Deep Dive into the HPC-AI Market in New Report

May 3, 2024

A new report out of analyst firm Intersect360 Research is shedding some new light on just how valuable the HPC and AI market is. Taking both of these technologies as a singular unit, Intersect360 Research found that the Read more…

Hyperion To Provide a Peek at Storage, File System Usage with Global Site Survey

May 3, 2024

Curious how the market for distributed file systems, interconnects, and high-end storage is playing out in 2024? Then you might be interested in the market analysis that Hyperion Research is planning on rolling out over Read more…

2024 Winter Classic: Meet Team Lobo

May 5, 2024

This is the other team from University of New Mexico, since there are two, right? This team has some significant cluster competition experience with two veteran Read more…

Hyperion To Provide a Peek at Storage, File System Usage with Global Site Survey

May 3, 2024

Curious how the market for distributed file systems, interconnects, and high-end storage is playing out in 2024? Then you might be interested in the market anal Read more…

Qubit Watch: Intel Process, IBM’s Heron, APS March Meeting, PsiQuantum Platform, QED-C on Logistics, FS Comparison

May 1, 2024

Intel has long argued that leveraging its semiconductor manufacturing prowess and use of quantum dot qubits will help Intel emerge as a leader in the race to de Read more…

Stanford HAI AI Index Report: Science and Medicine

April 29, 2024

While AI tools are incredibly useful in a variety of industries, they truly shine when applied to solving problems in scientific and medical discovery. Research Read more…

IBM Delivers Qiskit 1.0 and Best Practices for Transitioning to It

April 29, 2024

After spending much of its December Quantum Summit discussing forthcoming quantum software development kit Qiskit 1.0 — the first full version — IBM quietly 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…

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 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…

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

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…

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…

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…

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…

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 Plans Falcon Shores 2 GPU Supercomputing Chip for 2026  

August 8, 2023

Intel is planning to onboard a new version of the Falcon Shores chip in 2026, which is code-named Falcon Shores 2. The new product was announced by CEO Pat Gel 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…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing po Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire