DDN Announces EXAScaler 6, Insight 4.0, and Expanded Channel Services

July 1, 2021

Storage supplier DDN today made several announcements across its product line. Foremost was introduction of EXAScaler 6, the latest version of its Lustre-based Read more…

Sweden’s National Supercomputer Center Launches 300 AI Petaflops System – ‘Berzelius’

March 23, 2021

Sweden’s National Supercomputer Center today announced the launch of Berzelius, a supercomputer based on Nvidia’s DGX SuperPOD architecture and capable of d Read more…

2020 HPCwire Awards Celebrate Supercomputing Achievements in the Sciences

December 23, 2020

It was not a typical year for supercomputing in the sciences. When the pandemic struck, virtually every research supercomputer in the world pivoted much of its Read more…

SC20 Panel – OK, You Hate Storage Tiering. What’s Next Then?

November 25, 2020

Tiering in HPC storage has a bad rep. No one likes it. It complicates things and slows I/O. At least one storage technology newcomer – VAST Data – advocates dumping the whole idea. One large-scale user, NERSC storage architect Glenn Lockwood sort of agrees. The challenge, of course, is that tiering... Read more…

SC20 Showcases DDN’s Evolution towards HPC-plus-Enterprise Storage Power

November 16, 2020

Currently, there’s a lot on DDN’s plate as the long-time leader in HPC storage integrates recent acquisitions and strives to become a comprehensive HPC-plus-enterprise storage technology supplier. SC20 is providing a showcase for those efforts as DDN rolls out product updates, impressive... Read more…

Texas A&M Announces Flagship ‘Grace’ Supercomputer

November 9, 2020

Texas A&M University has announced its next flagship system: Grace. The new supercomputer, named for legendary programming pioneer Grace Hopper, is replacing the Ada system (itself named for mathematician Ada Lovelace) as the primary workhorse for Texas A&M’s High Performance Research Computing (HPRC). Read more…

DDN-Tintri Showcases Technology Integration with Two New Products

October 20, 2020

DDN, a long-time leader in HPC storage, announced two new products today and provided more detail around its strategy for integrating DDN HPC technologies with Read more…

NEC’s Vector Supercomputer to Power Japan’s ‘Next Earth Simulator’

October 13, 2020

The Japan Agency for Marine-Earth Science and Technology (JAMSTEC) engages in a wide variety of research and development projects to support Japan’s maritime 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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