Sign up for our newsletter and get the latest HPC news and analysis.
Send me information from insideHPC:


HPE Eagle Supercomputer to Triple Performance and Enhance Energy Efficiency at NREL

Today HPE announced it is building a new supercomputer for the National Renewable Energy Laboratory (NREL) that is more energy efficient and 3.5 times more powerful than its existing system. The new development is part of a long-standing collaboration between HPE and the U.S. Department of Energy (DOE) to apply advanced supercomputing and HPC solutions to accelerate research across various DOE agencies. The new, fast-performing system, which NREL has named Eagle, will run more detailed models that simulate complex processes, systems, and phenomena to advance early research and development on energy technologies across fields including vehicle, wind power, and data sciences.

Video: NVIDIA Announces Turing GPUs and CUDA Toolkit 10

Today at SIGGRPAH, NVIDIA announced its newest GPUs based on the new Turing architecture. ”
This fundamentally changes how computer graphics will be done, it’s a step change in realism,” Huang told an audience of more than 1,200 graphics pros gathered at the sleek glass and steel Vancouver Convention Center, which sits across a waterway criss-crossed by cruise ships and seaplanes from the stunning North Shore mountains.

Lenovo Takes the TOP500 with Liquid Cooling at ISC 2018

In this video from ISC 2018, Rick Koopman from Lenovo describes the company’s latest HPC innovations including their new Neptune liquid cooling technology. Lenovo is the world’s largest TOP500 supercomputing provider measured by the number of systems ranked on the TOP500 list. 117 of the 500 most powerful supercomputers included in the TOP500 are Lenovo installations, meaning nearly one out of every four systems (23.4 percent) on the prestigious list is a Lenovo solution.

One Stop Systems rolls out Magma ExpressBox eGPU with Thunderbolt 3

Today One Stop Systems introduced the Magma ExpressBox 3T-V3-eGPU, a new external graphics card solution with Thunderbolt 3. The ExpressBox 3T-V3-eGPU can transform both computers and laptops with Thunderbolt 3 connections into powerful workstations. “We’re committed to providing mobile professionals with the latest technologies for performing AI, CAE and rendering applications,” said Steve Cooper, CEO of OSS. “Our new ExpressBox 3T-V3-eGPU, like all of our Magma ExpressBox expansion products, enables professionals to remain mobile without sacrificing office workstation performance, but now takes it to a whole new level with NVIDIA technology.”

Training Generative Adversarial Models over Distributed Computing Systems

Gul Rukh Khattak from CERN gave this talk at PASC18. “We use a dataset composed of the energy deposition from electron, photons, charged and neutral hadrons in a fine grained digital calorimeter. The training of these models is quite computing intensive, even with the help of GPGPU, and we propose a method to train them over multiple nodes and GPGPU using a standard message passing interface. We report on the scalings of time-to-solution.”

Fast.AI Achieves Record ImageNet performance with NVIDIA V100 Tensor Core GPUs

The NVIDIA blog points us to this story on how Fast.ai just completed a new deep learning benchmark milestone. Using NVIDIA V100 GPUs on AWS with PyTorch, the company now has the ability to train ImageNet to 93% accuracy in just 18 minutes. “DIU and fast.ai will be releasing software to allow anyone to easily train and monitor their own distributed models on AWS, using the best practices developed in this project,” said Jeremy Howard, a founding researcher at fast.ai. “We entered this competition because we wanted to show that you don’t have to have huge resources to be at the cutting edge of AI research, and we were quite successful in doing so.”

PASC18 Panel Discussion Big Data vs. Fast Computation

“The panelists will discuss the critical challenges facing key HPC application areas in the next 5-10 years, based on a mix of knowledge and speculation. They will explore whether we need to make radical changes to our practices, methods, tools, and techniques to be able to use modern resources and make faster and bigger progress on our scientific problems.”

Ubercloud Posts 2018 Compendium of HPC Cloud Case Studies

Our friends at the UberCloud have published their 2018 Compendium of HPC Cloud Case Studies. “The Annual UberCloud Compendium of Case Studies is out! This is the 5th edition of this set of case studies relating to the world of Technical Computing. This year’s collection features case studies based on 13 select UberCloud Experiments, and the whole project is sponsored once again by Hewlett Packard Enterprise and Intel.”

Radio Free HPC Looks at China’s Exascale System Prototypes

In this podcast, the Radio Free HPC team looks at China’s new ARM-based Exascale supercomputer prototype. “The Sunway exascale computer prototype is very much like a concept car that can run on road,” said Yang Meihong, director of the National Supercomputing Center in Jinan. “We expect to build the exascale computer in the second half of 2020 or the first half of 2021.”

Supercomputing Cardiac Arrhythmias

A team of researchers led by Mark Potse from Inria Bordeaux Sud-Ouest research centre are using high performance computing to study heart arrhythmias. It is hoped that this research will lead to better treatment and diagnosis of this condition. “HPC offers enormous potential to advance healthcare through the advances in new therapies and treatments. From understanding the nature of diseases to discovering new drugs and even paradigm shifts in the way that healthcare is delivered such as the development of precision medicine.”