Europe’s Digital Twins for Earth Kick Off, Crown Jewel Supercomputers in Tow

October 19, 2022

In late 2020, the European Union announced plans for its Destination Earth (“DestinE”) moonshot project to create multiple digital twins of Earth, including Read more…

NCAR Supercomputing Shows California’s Growing Megaflood Risk

August 22, 2022

Amid wildfire and drought season, worries are growing that another natural disaster is looming over the West Coast: megafloods. While concurrent threats from megafloods and droughts may seem at odds with each other, researchers at the National Center for Atmospheric Research (NCAR) recently conducted a supercomputer-powered study showing that climate change is greatly exacerbating the risk of catastrophic flooding in California. Read more…

Supercomputers Project Wetter San Francisco Storms in a Future Climate

May 4, 2022

With climate change dramatically accelerating, scientists continue to struggle to predict the shape of a substantially warmer world. This is particularly true with regard to weather and storms, which – due to the granular, mercurial processes at play – elude climate scientists more than, say, ice melt projections. Recently, a climate study commissioned by the City and County of San Francisco... Read more…

Nvidia Combines Modulus, Omniverse for Earth-2 and Other Digital Twins

March 22, 2022

An accurate digital twin can be a boon to scientific endeavors, from recreating individual buildings in a city to understand energy use to recreating the Earth’s climate system to understand the effects of policies on climate change. At GTC21, Nvidia made waves by announcing that its Modulus framework for physics-based ML models and its... Read more…

TACC Supercomputer Tackles El Niño Variability

March 18, 2022

The El Niño climate pattern, when it occurs, presents as warmer-than-usual water in the equatorial region of the Pacific Ocean. The changes in temperature and rainfall that ensue from this warmer water can affect natural disasters, crop yields and even the proliferation of disease — but El Niño’s variations can be hard to predict. Recently, researchers at the... Read more…

Deep Learning, Supercomputing Enable Unprecedented Permafrost Analysis

February 28, 2022

Permafrost covers more than 10 percent of the planet and stores vast amounts of carbon in frozen soil, making it a crucial—and dangerous—carbon sink. Unders Read more…

TACC Supercomputer Powers Carbon Capture Simulations

February 14, 2022

As climate change continues to accelerate, many scientists are increasingly worried that the world will not be able to reduce its reliance on fossil fuels quick Read more…

Nvidia’s Digital Twin Moonshot – Saving Planet Earth

November 11, 2021

Nvidia is continuing to expand enterprise digital twin capabilities and features in its Nvidia Omniverse 3D virtual world design platform, but the company’s n Read more…

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Whitepaper

Porting CUDA Applications to Run on AMD GPUs

Giving developers the ability to write code once and use it on different platforms is important. Organizations are increasingly moving to open source and open standard solutions which can aid in code portability. AMD developed a porting solution that allows developers to port proprietary NVIDIA® CUDA® code to run on AMD graphic processing units (GPUs).

This paper describes the AMD ROCm™ open software platform which provides porting tools to convert NVIDIA CUDA code to AMD native open-source Heterogeneous Computing Interface for Portability (HIP) that can run on AMD Instinct™ accelerator hardware. The AMD solution addresses performance and portability needs of artificial intelligence (AI), machine learning (ML) and high performance computing (HPC) for application developers. Using the AMD ROCm platform, developers can port their GPU applications to run on AMD Instinct accelerators with very minimal changes to be able to run their code in both NVIDIA and AMD environments.

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Whitepaper

QCT HPC BeeGFS Storage: A Performance Environment for I/O Intensive Workloads

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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