[email protected] and the #LongestLastMile

January 11, 2018

A multinational delegation recently attended the Understanding Risk in Shared CyberEcosystems workshop, or [email protected], in Denver, Colorado. URISC participants and presenters from 11 countries, including eight African nations, 12 U.S. states, Canada, India and Nepal, also attended SC17, the annual international conference for high performance computing, networking, storage and analysis that drew nearly 13,000 attendees. Read more…

As Exascale Frontier Opens, Science Application Developers Share Pioneering Strategies

December 19, 2017

In November 2015, three colleagues representing the US Department of Energy (DOE) Office of Science’s three major supercomputing facilities struck up a conver Read more…

SC17 Cluster Competition: Who Won and Why? Results Analyzed and Over-Analyzed

November 28, 2017

Everyone by now knows that Nanyang Technological University of Singapore (NTU) took home the highest LINPACK Award and the Overall Championship from the recently concluded SC17 Student Cluster Competition. We also already know how the teams did in the Highest LINPACK and Highest HPCG competitions, with Nanyang grabbing bragging rights for both benchmarks. Read more…

SC17 US Student Cluster Competition Teams: Defending the Home Turf

November 24, 2017

Nine US universities showed up to the SC17 Student Cluster Competition in an attempt to keep the trophies in the United States. Let’s use our video lens to ge Read more…

Long Flights to Cluster Fights: Meet the Asian Student Cluster Teams

November 22, 2017

Five teams from Asia traveled thousands of miles to compete at the SC17 Student Cluster Competition in Denver. Our cameras were there to meet ‘em, greet ‘em Read more…

Perspective: What Really Happened at SC17?

November 22, 2017

SC is over. Now comes the myriad of follow-ups. Inboxes are filled with templated emails from vendors and other exhibitors hoping to win a place in the post-SC thinking of booth visitors. Attendees of tutorials, workshops and other technical sessions will be inundated with requests for feedback. Read more…

Live and in Color, Meet the European Student Cluster Teams

November 21, 2017

The SC17 Student Cluster Competition welcomed two teams from Europe, the German team of FAU/TUC and Team Poland, the pride of Warsaw. Let's get to know them bet Read more…

SC17 Student Cluster Kick Off – Guts, Glory, Grep

November 21, 2017

The SC17 Student Cluster Competition started with a well-orchestrated kick-off emceed by Stephen Harrell, the competition chair. It began with a welcome from Read more…

  • arrow
  • Click Here for More Headlines
  • arrow

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.

Download Now

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.

Download Now

Sponsored by AMD

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