SC21 Panel on Programming Models – Tackling Data Movement, DSLs, More

January 6, 2022

How will programming future systems differ from current practice? This is an ever-present question in computing. Yet it has, perhaps, never been more pressing g Read more…

Supercomputers Assist Hunt for Mysterious Axion Particle

January 21, 2021

In the 1970s, scientists theorized the existence of axions: particles born in the hearts of stars that, when exposed to a magnetic field, become light particles Read more…

What’s New in HPC Research: Astra, Cabernet, the Cloud Performance Gap & More

December 8, 2020

In this regular feature, HPCwire highlights newly published research in the high-performance computing community and related domains. From parallel programming Read more…

Supercomputer-Powered Text Mining Tool Combs Through COVID-19 Studies

May 1, 2020

The COVID-19 pandemic is producing massive amounts of data – and that data is producing a positive avalanche of academic literature. To help sift through thos Read more…

Berkeley Lab Team Improves HPC Datacenter Efficiency with Analytics

February 25, 2020

As HPC datacenters scale up, improving efficiency is crucial to avoiding correspondingly large energy use (and the ensuing high costs and large carbon footprint Read more…

Berkeley Lab’s Kathy Yelick Looks Back and Ahead as She Contemplates Next Career Stage

July 25, 2019

In mid-April, Kathy Yelick announced she would step down as Associate Laboratory Director (ALD) for the Computing Sciences organization at Lawrence Berkeley National Laboratory, a position she has held since September 2010, in addition to heading NERSC from 2008 through 2012. Yelick will return to campus in January 2020... Read more…

NERSC-9 Clues Found in NERSC 2017 Annual Report

October 8, 2018

If you’re eager to find out who’ll supply NERSC’s next-gen supercomputer, codenamed NERSC-9, here’s a project update to tide you over until the winning bid and system details are revealed. The upcoming system is referenced several times in the recently published 2017 NERSC annual report. Read more…

Container App ‘Singularity’ Eases Scientific Computing

October 20, 2016

HPC container platform Singularity is just six months out from its 1.0 release but already is making inroads across the HPC research landscape. It's in use at Lawrence Berkeley National Laboratory (LBNL), where Singularity founder Gregory Kurtzer has worked in the High Performance Computing Services (HPCS) group for 16 years. 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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