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…

Climavision Targets Weather Forecasting Through HPC Cloud Bursts

January 4, 2022

If Climavision isn’t on your radar just yet, that’s understandable: the company launched from stealth just six months ago, emerging in June with a formidable $100 million in funding. Its promise: to roll out a combination of numerical weather prediction (NWP), AI, traditional weather observations, satellite data... Read more…

ECMWF Opens Bologna Datacenter in Preparation for Atos Supercomputer

September 14, 2021

In January 2020, the European Centre for Medium-Range Weather Forecasts (ECMWF) – a juggernaut in the weather forecasting scene – signed a four-year, $89-million contract with European tech firm Atos to quintuple its supercomputing capacity. With the deal approaching the two-year mark, ECMWF... 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…

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…

Could Machine Learning Replace the Entire Weather Forecast System?

April 27, 2020

Just a few months ago, a series of major new weather and climate supercomputing investments were announced, including a £1.2 billion order for the world’s mo Read more…

Microsoft Announces General Availability of AMD-backed Azure HBv2 Instances for HPC

February 27, 2020

Nearly seven months after they were first announced, Microsoft Azure’s HPC-targeted HBv2 virtual machines (VMs) based on AMD second-generation Epyc processors Read more…

Cray to Provide NOAA with Two AMD-Powered Supercomputers

February 24, 2020

The United States’ National Oceanic and Atmospheric Administration (NOAA) last week announced plans for a major refresh of its operational weather forecasting supercomputers, part of a 10-year, $505.2 million program, which will secure two HPE-Cray systems for NOAA’s National Weather Service to be fielded later this year and put into production in early 2022. 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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