City University of Hong Kong Advances Scientific Research with Up to 10X Faster High Performance Computing Cluster from Hewlett Packard Enterprise
Hewlett Packard Enterprise (NYSE: HPE) announced a new high-performance computing (HPC) cluster for City University of Hong Kong, enhancing research capabilities significantly.
The system offers nearly 10 times faster speed, improving AI and HPC applications in biomedicine, quantum chemistry, and social sciences. With reduced operational costs and increased efficiency, it enables researchers to undertake complex projects faster, such as those in chronic disease analysis and algorithmic trading. This development marks a substantial upgrade in computational performance, consolidating HPC resources for greater accessibility and sustainability.
- New HPC cluster enhances research capabilities at CityU, providing nearly 10 times faster computing speed.
- Significant improvements in operational efficiency and reduced costs for researchers.
- The cluster supports diverse research in biomedicine, quantum chemistry, and consumer behavior.
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New cluster provides centralized high performance computing (HPC) and AI capabilities to advance research and make breakthroughs in areas such as biomedicine, quantum chemistry and social and behavioral science.
“At CityU, HPC plays a critical role in helping us build and support a world-class research team to continue making scientific breakthroughs for humankind,” said Dr.
CityU’s HPC resources are used by Hong Kong’s academic and government researchers to accelerate scientific discovery in many areas. It is also CityU’s mission to deliver on its “Inclusive Strategy,” where stakeholders from various disciplines can collaborate effectively using its technologies. Previously, CityU’s resources were comprised of siloed clusters that used older generations of computing solutions, which could not scale and support demand for higher computational performance. The disparate system created a challenge for a growing set of users to efficiently access the technology and reach their research goals.
To address the challenge, CityU turned to HPE to design a dramatically faster central HPC cluster to serve as an energy-efficient, centralized system for its research community. Additional advancements include lower-latency networking, and advanced compute and accelerated compute to tackle data-intensive projects across modeling, simulation, AI and machine learning.
The new CityU HPC cluster, which CityU named “CityU Burgundy,” is built using the HPE Apollo 2000 and HPE Apollo 6500 Gen10 Plus systems, which are purpose-built, density optimized platforms that target demanding HPC and AI applications. HPE also designed CityU Burgundy with 328 AMD EPYC™ 7742 processors to provide a performance boost to core modeling and simulation workloads, and 56 NVIDIA V100 Tensor Core GPUs and 8 NVIDIA A100 80GB Tensor Core GPUs to support a range of image analysis, machine learning and AI capabilities.
Expanded project areas with CityU Burgundy – the new central HPC cluster
The overall advanced system and boost to computational performance has enabled CityU’s researchers to power the following initiatives:
- Advancing biomedicine to accelerate insights in chronic diseases and treatment – Researchers specializing in genetic and molecular epidemiology have used the new HPC cluster to study the complexity of chronic diseases and explore novel preventative approaches. These include diagnosis and treatment by integrating and analyzing variants in multiomics, biomarkers and environmental data from diverse populations.
- Expanding the use of HPC in other disciplines – The cluster’s GPU capabilities have unlocked new approaches to analyzing data, and have supported projects that traditionally have not been typical use cases for high performance computing. These research projects include generating data visualization and analytics on data related to marketing, public policy, and finance.
- Research such as consumer behavior science and algorithmic trading – Researchers were previously unable to support these projects due to limited GPU capacity and high latency issues. These research efforts are now running at full steam.
“High performance computing continues to play a critical role in delivering new capabilities for harnessing large amounts of data to process and generate meaningful insights in almost any field of study,” said
By consolidating the compute capacity in a single location with the new centralized HPC, CityU has simultaneously increased compute capacity and utilization, and significantly reduced data center space and carbon footprint. The consolidated location also allows CityU’s IT team to easily and effectively measure energy requirements and save additional electricity by turning off more chiller plants in various buildings.
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Teljya Oka-Pregel
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