www.design-reuse-embedded.com
Find Top SoC Solutions
for AI, Automotive, IoT, Security, Audio & Video...

Where's Europe in the exascale race?

The US, China and Japan are established leaders in the exascale race, but Europe is starting to make waves, according to AMD's Roger Benson.

www.newelectronics.co.uk, May. 16, 2022 – 

Over the past few years, we have witnessed an unprecedented shift in the adoption of digital technologies, from High Performance Computing (HPC) and Big Data analytics to artificial intelligence (AI) and machine learning (ML).

A historical academic demand to accelerate the pace of scientific discovery coincides today with growing competitive pressures to accelerate new product designs and decision-making in the commercial market.

Supercomputers, also called computational or parallel clusters, process complex simulations by splitting compute problems into smaller "jobs", simultaneously running on multiple server nodes, interconnected by one fast network. The price-performance of such systems is constantly improving, helping to make HPC more affordable.

Nowadays a compute problem that would take weeks to process on a multi-million-euro system twenty years ago can be accomplished in just a few hours on a single server, equipped with compute GPUs.

Once available only to educational institutions and major corporations, HPC has become more attainable today as public clouds and community datacentres are enabling smaller organisations to book remote computational capacity on demand, paying only for the core-hours and related services.

HPC can enable commercial organisations to solve a wide spectrum of complex problems, including product optimisation and electronic design, credit analysis and fraud detection, drug discovery and human studies, oil and gas exploration, climate research and weather prediction, rendering and movie pre- and post-production, the list is almost endless!

The hardware architecture with multiple computational GPUs used today in the HPC space has many similarities with AI and ML implementations, and the intersection of the technologies is also bringing more advanced AI solutions to the mainstream, with HPC potentially enabling training models on ever larger datasets to optimise compute cluster use.

Just as enterprise cloud computing created new ways for businesses to engage customers and to transition to new ways of working, the next generation of supercomputing is seen as opening up new possibilities for innovation breakthroughs by accelerating R&D speed and product development by orders of magnitude.

click here to read more...

 Back

Partner with us

List your Products

Suppliers, list and add your products for free.

More about D&R Privacy Policy

© 2024 Design And Reuse

All Rights Reserved.

No portion of this site may be copied, retransmitted, reposted, duplicated or otherwise used without the express written permission of Design And Reuse.