Quebec’s QScale Pushes for Colder, Greener HPC in North America

November 3, 2022

In Levis, Quebec – just outside Quebec City – a scenic walk through a park and across a suspension bridge leads to a hydroelectric power plant rated at 24 m Read more…

At ISC, the Green500 Witnesses a New Frontier in Efficient Computing

June 8, 2022

Back in 2008, the U.S. Defense Advanced Research Projects Agency (DARPA) set an ambitious target: an exascale supercomputer in a 20-megawatt envelope. That targ Read more…

The Green500’s Crystal Anniversary Sees MN-3 Crystallize Its Winning Streak

December 2, 2021

“This is the 30th Green500,” said Wu Feng, custodian of the Green500 list, at the list’s SC21 birds-of-a-feather session. “You could say 15 years of Green500, which makes it, I guess, the crystal anniversary.” Indeed, HPCwire marked the 15th anniversary of the Green500 – which ranks supercomputers by flops-per-watt, rather than just by flops – earlier this year with... Read more…

Argonne Supercomputing, Oak Ridge Software to Power Digital Twins for Millions of Buildings

August 12, 2021

In 2020, residential and commercial buildings in the U.S. accounted for 40 percent of all energy consumption in the country – and with climate change rapidly Read more…

15 Years Later, the Green500 Continues Its Push for Energy Efficiency as a First-Order Concern in HPC

July 15, 2021

The Green500 list, which ranks the most energy-efficient supercomputers in the world, has virtually always faced an uphill battle. As Wu Feng – custodian of the Green500 list and an associate professor at Virginia Tech – tells it, “noone" cared about energy efficiency in the early 2000s, when the seeds... Read more…

A Carbon Crisis Looms Over Supercomputing. How Do We Stop It?

June 11, 2021

Supercomputing is extraordinarily power-hungry, with many of the top systems measuring their peak demand in the megawatts due to powerful processors and their c Read more…

What’s New in HPC Research: Mosquitoes, [email protected], the Last Journey & More

June 29, 2020

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

The Green500 Has a New Leader – and It’s a Newcomer

June 22, 2020

While the Top500 list ranks the most powerful benchmarked supercomputers in the world, the Green500 reorders the list to rank the most energy-efficient supercom Read more…

  • arrow
  • Click Here for More Headlines
  • arrow

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.

Download Now

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.

Download Now

Sponsored by QCT

Advanced Scale Career Development & Workforce Enhancement Center

Featured Advanced Scale Jobs:

Receive the Monthly
Advanced Computing Job Bank Resource:

HPCwire Resource Library

HPCwire Product Showcase

Subscribe to the Monthly
Technology Product Showcase:

HPCwire