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

Exascale Computing Project to go Front and Center at SC18

Over at the Exascale Computing Project, Scott Gibson has compiled an impressive list of sessions and meetups involving the ECP and all the goings on you can expect at SC18 in Dallas. “The Exascale Computing Project is accelerating delivery of a capable exascale computing ecosystem for breakthroughs in scientific discovery, energy assurance, economic competitiveness, and national security.”

Supercomputing Turbine Energy with the ExaWind Project

ECP’s ExaWind project aims to advance the fundamental comprehension of whole wind plant performance by examining wake formation, the impacts of complex terrain, and the effects of turbine-turbine wake interactions. When validated by targeted experiments, the predictive physics-based high-fidelity computational models at the center of the ExaWind project, and the new knowledge derived from their solutions, provide an effective path to optimizing wind plants.

Big Data over Big Distance: Zettar Moves a Petabyte over 5000 Miles in 29 Hours

Today AIC announced a world-record in data transfer: one petabyte in 29 hours encrypted data transfer, with data integrity checksum unconditionally enabled, over a distance of 5000 miles. The average transfer rate is 75Gbps, or 94% utilization of the available bandwidth of 80Gbps. “Even with massive amounts of data, this test confirmed once more that it’s completely feasible to carry out long distance, fully encrypted and checksum-ed data transfer at nearly the line-rate, over a shared and production network.”

Video: ExaAM – Transforming Additive Manufacturing through Exascale Simulation

In this video from the HPC User Forum in Detroit, John Turner, Oak Ridge National Laboratory presents: ExaAM – Transforming Additive Manufacturing through Exascale Simulation. “The goal of ExaAM is to develop an AM simulator that will give researchers a tool to determine the best method to print parts with complex geometries and site-specific properties, complemented by real-time, in situ process visualization, analyses and optimization. Coupled with a modern computer-aided design tool, the simulator will allow the routine use of AM to build unique, qualifiable metal alloy parts across many industries relevant to DOE.”

Industry HPC Trends & Advocacy

David Kepczynski from GE gave this talk at the HPC User Forum in Detroit. “David Kepczynski from GE Global Research was recently apponted as the new chair of the ECP Industry Council, an external advisory group of executives from some of the nation’s most prominent companies with a collaborative interest in bringing the potential of exascale computing to a wide range of industry segments.”

Video: An Update on the Exascale Computing Project

In this video, Mike Bernhardt sits down with Doug Kothe from the Exascale Computing Project for a quick update and a look ahead. “As we traverse the second half of the 2018 calendar year, the Exascale Computing Project (ECP) continues to execute confidently toward our mission of accelerating the delivery of a capable exascale computing ecosystem* to coincide with the nation’s first exascale platforms in the early 2020s.”

Podcast: Supporting Multiphysics Application Development

In this episode of Let’s Talk Exascale, Computational scientist Ben Bergen of Los Alamos National Laboratory describes the Advanced Technology Development and Mitigation (ATDM) subprogram‘s Flexible Computational Science Infrastructure (FleCSI) project.

ECP Launches ExaLearn Co-Design Center

The DOE’s Exascale Computing Project has initiated a new Co-Design Center called ExaLearn. Led by Principal Investigator Francis J. Alexander from Brookhaven National Laboratory, ExaLearn is a co-design center for Exascale Machine Learning (ML) Technologies. “Our multi-laboratory team is very excited to have the opportunity to tackle some of the most important challenges in machine learning at the exascale,” Alexander said. “There is, of course, already a considerable investment by the private sector in machine learning. However, there is still much more to be done in order to enable advances in very important scientific and national security work we do at the Department of Energy. I am very happy to lead this effort on behalf of our collaborative team.”

Report: Exascale Software Development Project on Track

Software development for future DOE Exascale machines is on track, according to a new Report. While the first Exascale machine is not slated for delivery to Argonne until 2021, ongoing efforts continue towards the monumental task of preparing applications to run 50x faster than possible today. “Software Technology is a key focus area of the ECP and represents the key bridge between Exascale systems and the scientists developing applications that will run on those platforms.”

Podcast: Evolving MPI for Exascale Applications

In this episode of Let’s Talk Exascale, Pavan Balaji and Ken Raffenetti describe their efforts to help MPI, the de facto programming model for parallel computing, run as efficiently as possible on exascale systems. “We need to look at a lot of key technical challenges, like performance and scalability, when we go up to this scale of machines. Performance is one of the biggest things that people look at. Aspects with respect to heterogeneity become important.”