HPE Weather HPC System Stood up at Meteorological Service Singapore – High-Performance Computing News Analysis

HPE continues to set new weather records with the announcement that it has built a supercomputer for the Meteorological Service Singapore (MSS) for Singapore and the Southeast Asia region.

The HPC system replaces MSS’s existing system, computing, storage, It offers nearly double the performance and advanced capabilities in software and networking, according to HPE. MSS has a peak performance of 401.4 teraflops, and the computer; networking; It uses the following suite of new technologies, including storage and software.

• 196 3rd Gen AMD EPYC processors to target weather and climate data modeling and visualization
• HPE Slingshot is the world’s only high-performance Ethernet fabric designed to power data-intensive and AI solutions. Accelerates while controlling congestion for larger data-intensive and AI workloads.
• Cray ClusterStor E1000 storage system parallelized by HPE and HPE Data Management Framework to handle the storage needs of data growth and complexity; model Increasing workloads in simulation and AI
• Model users; HPE Cray Operating System and HPE Cray Programming Environment to provide access to a suite of integrated software to optimize simulations and AI workloads.

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And like MSS’s previous Cray-based supercomputer, The new system is modeled; Altair PBS Professional, one of the industry’s leading scheduling and workload solutions, will continue to be used to scale simulation and AI workloads. The supercomputer is housed in CCRS’s data center.

The enhanced supercomputing power will enhance forecasting capabilities through improved numerical modeling and integration of advanced data from ground and space-based weather observations into a numerical weather forecasting system called ‘SINGV’ by MSS, the company said. It was developed by the MSS’ Center for
Climate Research Singapore (CCRS) in collaboration with the UK Met Office and colleagues; Specially designed for weather forecast and weather applications in Singapore and surrounding areas.

In addition, The supercomputer uses machine learning techniques to improve the quality of forecasts and enables advanced forecast post-processing algorithms. Computing power will continue to develop the following high-resolution models to deliver better weather and climate products.
• Sub-kilometer scale urban modeling (uSINGV), which is being developed to more appropriately represent the urban environment in climate and climate applications;
• Atmospheric impact of weather and climate on the Southeast Asian region; The Ocean-Atmosphere-Land-Waves (cSINGV) model system to capture and improve the dynamic interactions between land and ocean;

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“Singapore continues to drive its national initiatives with supercomputing projects that contribute significantly to science,” HPC. A.I. Senior Vice President Trish Damkroger said. & Labs at HPE.

“We are proud and happy to participate in Myanmar’s digital program. We are proud to have been selected by the Meteorological Department of Singapore. Events.”

Part of Singapore’s National Environment Agency (NEA), MSS provides the country with real-time weather forecasts; Insights into Singapore’s tropical climate and monsoons; It aims to better understand the patterns of heat waves and air pollution events. To advance MSS’s mission, the new system, which will be built using HPE Cray supercomputers, will improve modeling and visualization of complex weather data to provide more accurate and real-time weather forecasts. Notice to citizens.

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“At CCRS, our scientists and software engineers are committed to analyzing complex data to provide real-time weather forecasts for our nation, which experiences a variety of weather events on a daily basis given the island’s unique geological position,” said Director (CCRS) Professor Dale Barker. “After partnering with Hewlett Packard Enterprise to design a new supercomputer; Our research center will get a faster system with the next generation.
techniques to enhance modeling and simulation tools while introducing new capabilities to test future types of applications for more in-depth research methods.”


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