TACC Supercomputing Powers Climate Modeling for Fisheries

January 28, 2023

A tremendous portion of the world depends on the output of the oceans’ major fisheries, which have, in recent decades, found themselves under near-constant th Read more…

Solving the Space Junk Crisis with HPC

December 20, 2022

By now, most people are aware of the vast amount of trash currently clogging our oceans, with the Great Pacific garbage patch alone estimated to be twice the si Read more…

TACC’s Dan Stanzione Shares Vision for Leadership Computing

December 14, 2022

Texas Advanced Computing Center Director Dan Stanzione and HPCwire Managing Editor Tiffany Trader met in Dallas to discuss the biggest trends in HPC and the hot Read more…

DesignSafe Award-Winning Dataset to Enable Better Tsunami Modeling

October 10, 2022

Tsunamis can be truly devastating: in 2004, a single tsunami killed nearly 230,000 people — so predicting when and how tsunamis occur is a crucial task. Now, Read more…

More Details on ‘Half-Exaflop’ Horizon System, LCCF Emerge

September 26, 2022

Since 2017, plans for the Leadership-Class Computing Facility (LCCF) have been underway. Slated for full operation somewhere around 2026, the LCCF’s scope ext Read more…

Jetstream2 Cloud HPC System Enters Production

September 15, 2022

Jetstream2, a collaborative cloud HPC system spread across five institutions, has entered full production following an early operations phase that began earlier Read more…

TACC Simulations Probe the First Days of Stars, Black Holes

August 12, 2022

The stunning images produced by the James Webb Space Telescope and recent supercomputer-enabled black hole imaging efforts have brought the early days of the un Read more…

TACC Supercomputer Forges Better Understanding of Alloys

July 27, 2022

Alloys like steel, bronze and copper have become fundamental materials for many aspects of human life and industry. But the needs of the modern world are ever-e Read more…

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Whitepaper

A New Standard in CAE Solutions for Manufacturing

Today, manufacturers of all sizes face many challenges. Not only do they need to deliver complex products quickly, they must do so with limited resources while continuously innovating and improving product quality. With the use of computer-aided engineering (CAE), engineers can design and test ideas for new products without having to physically build many expensive prototypes. This helps lower costs, enhance productivity, improve quality, and reduce time to market.

As the scale and scope of CAE grows, manufacturers need reliable partners with deep HPC and manufacturing expertise. Together with AMD, HPE provides a comprehensive portfolio of high performance systems and software, high value services, and an outstanding ecosystem of performance optimized CAE applications to help manufacturing customers reduce costs and improve quality, productivity, and time to market.

Read this whitepaper to learn how HPE and AMD set a new standard in CAE solutions for manufacturing and can help your organization optimize performance.

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Sponsored by HPE

Whitepaper

Porting CUDA Applications to Run on AMD GPUs

A workload-driven system capable of running HPC/AI workloads is more important than ever. Organizations face many challenges when building a system capable of running HPC and AI workloads. There are also many complexities in system design and integration. Building a workload driven solution requires expertise and domain knowledge that organizational staff may not possess.

This paper describes how Quanta Cloud Technology (QCT), a long-time Intel® partner, developed the Taiwania 2 and Taiwania 3 supercomputers to meet the research needs of the Taiwan’s academic, industrial, and enterprise users. The Taiwan National Center for High-Performance Computing (NCHC) selected QCT for their expertise in building HPC/AI supercomputers and providing worldwide end-to-end support for solutions from system design, through integration, benchmarking and installation for end users and system integrators to ensure customer success.

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Sponsored by AMD

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