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DOE powers Aluminum and Steelmaking Research through HPC4Manufacturing Program

Today the HPC4Manufacturing Program announced four federal funding awards for solving key manufacturing challenges in steelmaking and aluminum production through supercomputing. “Primary metals industries are significant energy users, so opportunities to reduce energy consumption in this area is of great interest to our sponsors,” said HPC4Manufacturing Director Robin Miles of LLNL. “Additionally, this program is helping U.S. steel makers produce the higher strength steels vital to light weighting the next generation of automobiles.”

Job of the Week: Performance Engineer at Oak Ridge National Lab

Oak Ridge National Lab in Tennessee is seeking a Performance Engineer in our Job of the Week. “We are seeking to build a team of Performance Engineers who will serve as liaisons between the National Center for Computational Sciences (NCCS) and the users of the NCCS leadership computing resources, particularly Exascale Computing Project application development teams and will collaborate with the ECP application teams as they ready their software applications for the OLCF Exascale computer Frontier. These positions reside in the Scientific Computing Group in the National Center for Computational Sciences at Oak Ridge National Laboratory.

Interview: The Importance of the Message Passing Interface to Supercomputing

In this video, Mike Bernhardt from the Exascale Computing Project catches up with ORNL’s David Bernholdt at SC18. They discuss supercomputing the conference, his career, the evolution and significance of message passing interface (MPI) in parallel computing, and how ECP has influenced his team’s efforts.

Video: How OpenACC Enables Scientists to port their codes to GPUs and Beyond

In this video SC18, Jack Wells from ORNL describes how OpenACC enables scientists to port their codes to GPUs and other HPC platforms. “OpenACC, a directive-based high-level parallel programming model, has gained rapid momentum among scientific application users – the key drivers of the specification. The user-friendly programming model has facilitated acceleration of over 130 applications including CAM, ANSYS Fluent, Gaussian, VASP, Synopsys on multiple platforms and is also seen as an entry-level programming model for the top supercomputers (Top500 list) such as Summit, Sunway Taihulight, and Piz Daint. As in previous years, this BoF invites scientists, programmers, and researchers to discuss their experiences in adopting OpenACC for scientific applications, learn about the roadmaps from implementers and the latest developments in the specification.”

Overclocked NVIDIA DGX-2H Cluster Lands at #61 on the TOP500

In this video from SC18 in Dallas, Marc Hamilton from NVIDIA describe the all new overclocked DGX-2H supercomputer. Built by NVIDIA, a cluster of 36 DGX-2H devices with 3 Petaflops of LINPACK performance was just ranked #62 on the TOP500 list of the world’s fastest supercomputers.

New TOP500 List topped by DOE Supercomputers

The latest TOP500 list of the world’s fastest supercomputers is out, a remarkable ranking that shows five Department of Energy supercomputers in the top 10, with the first two captured by Summit at Oak Ridge and Sierra at Livermore. With the number one and number two systems on the planet, the “Rebel Alliance” vendors of IBM, Mellanox, and NVIDIA stand far and tall above the others.

DOE to Showcase World-Class Computational Science at SC18

Researchers and staff from 15 National Labs will showcase DOE’s latest computing and networking innovations and accomplishments at SC18 in Dallas next week. “Several of the talks and demos will highlight achievements by DOE’s Exascale Computing Program (ECP), a multi-lab, seven-year collaborative effort focused on accelerating the delivery of a capable exascale computing ecosystem by 2021.”

Video: Unified Memory on Summit (Power9 + V100)

Jeff Larkin from NVIDIA gave this talk at the Summit Application Readiness Workshop. The event had the primary objective of providing the detailed technical information and hands-on help required for select application teams to meet the scalability and performance metrics required for Early Science proposals. Technical representatives from the IBM/NVIDIA Center of Excellence will be delivering a few plenary presentations, but most of the time will be set aside for the extended application teams to carry out hands-on technical work on Summit.”

Summit Supercomputer Breaks Exaop Barrier on Neural Net Trained to Recognize Extreme Weather Patterns

“Using a climate dataset from Berkeley Lab on the Summit supercomputer at Oak Ridge, they trained a deep neural network to identify extreme weather patterns from high-resolution climate simulations. By tapping into the specialized NVIDIA Tensor Cores built into the GPUs at scale, the researchers achieved a peak performance of 1.13 exaops and a sustained performance of 0.999 – the fastest deep learning algorithm reported to date and an achievement that earned them a spot on this year’s list of finalists for the Gordon Bell Prize.”

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.”