Lawrence Livermore National Lab is seeking an Associate Director for Computation in our Job of the Week. LLNL seeks to fill the position of Associate Director (AD) for Computation, a position key to the continued success of LLNL’s world-premier high performance computing, computer science, and data science enterprise. The AD for Computation is responsible for […]
The International Workshop on Communication Architectures at Extreme Scale has published its Advance Agenda. Now in its second year, Exacom 2016 will be held in conjunction with ISC 2016 in Frankfurt on Thursday, June 23, 2016.
Today RAID Inc. announced a contract to provide Lawrence Livermore National Laboratory (LLNL) a custom parallel file system solution for its unclassified computing environment. RAID will deliver a 17PB file system able to sustain up to 180 GB/s. These high performance, cost-effective solutions are designed to meet LLNL’s current and future demands for parallel access data storage.
Berkeley Lab recently hosted the fourth annual X-Stack PI event, where X-Stack researchers, facilities teams, application scientists, and developers from national labs, universities, and industry met to share the latest developments in X-Stack application codes. “X-Stack was launched in 2012 by the U.S. Department of Energy’s Advanced Scientific Computing Research program to support the development of exascale software tools, including programming languages and libraries, compilers and runtime systems, that will help programmers handle massive parallelism, data movement, heterogeneity and failures as the scientific community transitions to the next generation of extreme-scale supercomputers.”
Today Lawrence Livermore National Laboratory (LLNL) announced it has purchased a first-of-a-kind brain-inspired supercomputing platform for deep learning inference developed by IBM Research. Based on a breakthrough neurosynaptic computer chip called IBM TrueNorth, the scalable platform will process the equivalent of 16 million neurons and 4 billion synapses and consume the energy equivalent of a tablet computer – a mere 2.5 watts of power for the 16 TrueNorth chips. The brain-like, neural network design of the IBM Neuromorphic System is able to infer complex cognitive tasks such as pattern recognition and integrated sensory processing far more efficiently than conventional chips.
“As it readies for Sierra, a new IBM-based platform, LLNL is not only defining the metrics as it paves the road to Coral, it is taking the first giant steps on the path toward Exascale. This talk will provide an overview of Coral and reveal the plans and progress to evolve applications for Sierra and future large-scale systems.”
In this special guest feature, Earl Joseph from IDC describes his SC15 panel where four HPC luminaries discussed, disputed, and divined the path to exascale computing. “As the panel wound to a close, participants agreed on one thing: the path to exascale contains significant obstacles, but they’re not insurmountable. Tremendous progress is being made in preparing codes for the next generations of systems, and sheer determination and innovation is running at an all-time high.”
Today the AweSim program at the Ohio Supercomputer Center announced it has been selected to develop one of 10 national industry projects under the DOE High Performance Computing for Manufacturing (HPC4Mfg) program. We are pleased to be working with AweSim to develop a cloud-based 3D platform for our E-Weld Predictor tool,” said Tom McGaughy, EWI Director of Technology. “This new app will increase the accuracy of weld distortion and residual stress predictions and broaden access for manufacturers to use this advanced simulation tool to reduce rework and improve first-time quality.”
Today GE Global Research announced that it has been awarded two projects under the U.S. Department of Energy’s (DOE) High Performance Computing for Manufacturing (HPC4Mfg) Program. Teams of Global Research experts will work with teams at Oak Ridge and Lawrence Livermore National Labs on some of the world’s most powerful supercomputers to improve 3D printing processes and explore new concepts for higher jet engine efficiency.
Today U.S. Department of Energy’s announced 10 new High Performance Computing for Manufacturing (HPC4Mfg) projects. Under the HPC4Mfg program, National laboratory experts in advanced modeling, simulation and data analysis collaborate with industrial partners on project teams to address manufacturing challenges that will aid in decision making, optimize processes and design, improve quality, predict performance and failure, quicken or eliminate testing, and/or shorten the time of adoption of new technologies.