Nvidia Bolsters Omniverse for HPC, Announces NOAA-Lockheed Partnership

November 14, 2022

Over the past months, Nvidia has put a spotlight on its OVX hardware – purpose-built systems aimed at its Omniverse digital twins platform. Now, at SC22, Nvid Read more…

Inflation Reduction Act Signed Into Law, with Major Computing Implications

August 16, 2022

For the second time in as many weeks, President Biden has signed into law a major bill with significant implications for the computing sector. The Inflation Reduction Act – which is certainly the cornerstone of Biden’s first two years in office – allocates hundreds of billions of dollars toward energy security, climate change and healthcare. Among those hundreds of billions are hundreds of millions for scientific computing. At the signing ceremony... Read more…

NOAA Launches Twin Supercomputers, Tripling Operational Forecasting Capacity

June 29, 2022

In February 2020, the United States’ National Oceanic and Atmospheric Administration (NOAA) announced that it would be procuring two HPE Cray systems, allowing the organization to triple its operational supercomputing capacity for weather and climate applications. Now, those efforts have come to fruition: NOAA has inaugurated the two systems, which are... Read more…

Citing ‘Shortfalls,’ NOAA Targets Hundred-Fold HPC Increase Over Next Decade

January 5, 2022

From upgrading the Global Forecast System (GFS) to acquiring new supercomputers, the National Oceanic and Atmospheric Administration (NOAA) has been making big moves in the HPC sphere over the last few years—but now it’s setting the bar even higher. In a new report, NOAA’s Science Advisory Board (SAB) highlighted... Read more…

NOAA Upgrades Its Flagship Global Forecast System (Again)

March 22, 2021

When it rains, it pours: the National Oceanic and Atmospheric Administration has announced another major upgrade to the U.S.’ Global Forecast System (GFS). Th Read more…

DOE and NOAA Extend Computing Partnership, Plan for New Supercomputer

January 14, 2021

The National Climate-Computing Research Center (NCRC), hosted by Oak Ridge National Laboratory (ORNL), has been supporting the climate research of the National Read more…

NOAA Announces Major Upgrade to Ensemble Forecast Model, Extends Range to 35 Days

September 23, 2020

A bit over a year ago, the United States’ Global Forecast System (GFS) received a major upgrade: a new dynamical core – its first in 40 years – called the finite-volume cubed-sphere, or FV3. Now, the National Oceanic and Atmospheric Administration (NOAA) is bringing the FV3 dynamical core to... Read more…

NOAA Budget Request Undercuts Its HPC Announcements, Needs

March 13, 2020

As governments realize the urgent need for (and utility of) powerful weather and climate supercomputing, 2020 has seen a boom in major supercomputer announcemen 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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Sponsored by AMD

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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Sponsored by QCT

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