Hyperion Research Announces Winners of 2022 HPC Innovation Excellence Awards

November 29, 2022

ST PAUL, Minn., Nov. 29, 2022 — Hyperion Research, a globally recognized premier industry analyst and market intelligence firm covering high performance computing (HPC), AI, cloud, quantum, and associated emerging markets, today announced the recipients of the 17th round of HPC Innovation Excellence Awards.

Since 2011, these semi-annual innovation excellence awards have been recognized globally as the touchstone for outstanding achievements that were supported by the use of high performance computing (HPC).

Winners have ranged from government and academic research teams to some of the world’s largest corporations. The program’s goals are to showcase HPC-supported, real-world achievements with significant potential for benefiting humanity—achievements that demonstrate the value of HPC for research and development in government, academic or private-sector organizations.

Only a few of the many nominations receive these awards. Judges for the awards, chartered with carefully reviewing each submitted nomination, are the members of the worldwide steering committee of the HPC User Forum, representing leading HPC user organizations in government, academia and industry. Award winners receive a $1,000 honorarium and an award certificate and physical trophy recognizing their achievements.

The 2022 winners of the HPC Innovation Awards have been notified and are briefly described here:

  • HPC-driven design of innovative functional materials for catalysis, energy conversion, and storage

 Institute for Chemical Reaction Design and Discovery (WPI-ICReDD), Hokkaido University

Contact: Andrey Lyalin, Associate Professor

WPI-ICReDD is the Institute for Chemical Reaction Design and Discovery. It is a WPI research center where researchers from different disciplines combine their strengths to take full control over chemical reactions.

The team at ICReDD successfully predicted a variety of unique materials for catalysis, energy conversion, and storage applications which were then experimentally confirmed. They also developed novel computational methods in quantum chemistry, materials informatics, and machine learning that can be used to discover further materials for energy and environmental applications.

  • Fast-track computationally-driven discovery of new SARS-CoV-2 Main Protease (Mpro) inhibitors: from HPC to experimental drug candidates

 Sorbonne Université and Qubit Pharmaceuticals

Contact: Jean-Philip Piquemal, Distinguished Professor of Theoretical Chemistry and Director of the Laboratoire de Chimie Théorique (LCT) at Sorbonne Université, Paris, France.

This submission was based on synthesizing 2 new families of compounds in less than 3 months that were experimentally validated. A high-resolution molecular dynamics simulation of the SARS-CoV2 Main protease protein was then produced, the interaction with water was modeled and that unraveled potential druggable sites and identified potential drug candidates, and was used to predict absolute free energies of binding with potential active molecules. This research opens routes for further drug discovery and design.

  • An automated agent-based simulation method for the prediction of intensive care unit (ICU) occupancy due to COVID-19

 HLRS, High Performance Computing Center Stuttgart

 Contact: Ralf Schneider, High-Performance Computing Center Stuttgart (HLRS) & Sebastian Klüsener, Federal Institute for Population Research (BiB)

On a weekly basis, the team from HLRS and BiB processes 4-week forecasts of regional intensive care unit occupancy in Germany due to COVID-19. The forecasts are produced at HLRS, making this the first time that a German national HPC center has delivered such a service. Moreover, the collaboration proved for the first time that HPC for global systems science can support decision makers in critical situations, making a difference for society. The forecasts are simulated by a model initially developed by BiB and improved by HLRS.

  • AI-based emulator of Computational Fluid Dynamic simulations for urban wind flow and gas dispersion

Bettair Cities SL

Contact: Francisco Ramirez Javega, Chief Scientific Officer, Bettair Cities SL

Air pollution is the single largest environmental health risk in Europe and a major cause of premature death and disease, but most urban air quality problems are hyper-local (e.g., land use, traffic). The Bettair team ran CFD simulations of wind flow and dispersion patterns on a large data set and trained a DNN to simulate the results at a fraction of the time and cost of previous approaches. This research empowers local communities, municipalities, and regional governments with accessible, actionable information about local emissions in real-time. The work has been funded within the FF4EuroHPC European project, Experiment 1012: Improving Bettair Air Quality Maps. Part of the project was performed by a team from the Barcelona Supercomputing center using ALYA.

  • LS-DYNA Scaling with the direct implicit solver

Rolls-Royce

Contact: Todd Simons, High Performance Computing, Rolls-Royce

Rolls-Royce collaborated with the LS-DYNA developers, researchers at NCSA, and Cray Inc. and with the support of computing resources at the Oak Ridge Leadership Computing Facility and the NCSA Blue Waters machine to improve the parallel scalability of the direct solver in LS-DYNA. Rolls-Royce developed a 200 million degree of freedom grand challenge thermo-mechanical model of a gas-turbine engine. This collaborative effort achieved parallel scaling out to 16,384 cores. The initial work involved changes to reduce memory requirements and the development of a parallel decomposition method that allowed the problem to be solved on supercomputers with limited memory per node. The work then focused on performance optimization of the solver kernels. Progress was made on a novel, scalable nested dissection algorithm to improve the fill-in ratio of the matrix. Strong scaling studies help improve the performance bringing the solution time down two orders of magnitude. The researchers included Todd Simons, James Ong, Robert Lucas, François-Henry Rouet, Roger Grimes, Erman Gulyeruz, Seid Koric, Ting-Ting Zhu and Jef Dawson, and with support from Ning Meng at Intel.


Hyperion Research welcomes award entries from around the world. Entries may be submitted at any time by completing the application form available at https://www.hpcuserforum.com/innovationaward/. New winners will be announced twice a year. Submissions must contain a clear description of the impact of the project. The HPC User Forum Steering Committee performs an initial ranking of submissions, after which domain and vertical experts are called on, as needed, to evaluate the submissions.

HPC Innovation Excellence Award sponsors include Adaptive Computing, Altair, AMD, Ansys, Department of Defense, Department of Energy, Ford Motor Company, HPCwire, HPE, IBM, insideHPC, Intel, Lenovo, National Science Foundation, NASA, and NVIDIA.

About Hyperion Research

Hyperion Research is the premier industry analyst and market intelligence firm for high performance computing (HPC) and associated emerging markets. Hyperion Research analysts provide timely, in-depth mission-critical insight across a broad portfolio of advanced computing market segments, including High Performance Computing (HPC), Advanced Artificial Intelligence (AI), High-Performance Data Analysis (HPDA), Quantum Computing, Cloud and Edge Computing.

For more than 25 years, the industry analysts at Hyperion Research have been at the forefront of helping private and public organizations and government agencies make intelligent, fact-based decisions related to business impact and technology direction in the complex and competitive landscape of advanced computing and emerging technologies.

Hyperion Research provides data-driven research, analysis and recommendations for technologies, applications, and markets to help organizations worldwide make effective decisions and seize growth opportunities. Research includes market sizing and forecasting, share tracking, segmentation, technology, and related trend analysis, and both user and vendor analysis for multi-user technical server technology used for HPC and HPDA (high performance data analysis). The company provides thought leadership and practical guidance for users, vendors, and other members of the global HPC community by focusing on key market and technology trends across government, industry, commerce, and academia.


Source: Hyperion Research

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