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.
AMD Goes Full 7nm with EPYC Rome Processor
November 6, 2018 by Leave a Comment
Today AMD unveiled its upcoming 7nm compute and graphics product portfolio designed to extend the capabilities of the modern datacenter. During the event, AMD shared new specifics on its upcoming “Zen 2” processor core architecture, detailed its revolutionary chiplet-based x86 CPU design, launched the 7nm AMD Radeon Instinct MI60 graphics accelerator and provided the first public demonstration of its next-generation 7nm EPYC™ server processor codenamed “Rome.”
One Stop Systems to Acquire Bressner Technology in Europe
November 6, 2018 by Leave a Comment
Today One Stop Systems announced that the company has acquired Bressner Technology GmbH, a leading specialized high-performance computing supplier in Europe. “Based in GRÖBENZELL, Germany near Munich, Bressner provides standard and customized servers, panel PCs, and PCIe expansion systems. Their primary headquarters provides manufacturing, test, sales and marketing services for customers throughout Europe and the Middle East. The company has over 700 customers throughout Europe. Its major OEM customers include Novartis, Ipsotek, Intel, Rohde & Schwarz, BMW, and others. Bressner generates revenue of approximately €14 million per year.”
vScaler Cloud Adopts RAPIDS Open Source Software for Accelerated Data Science
November 5, 2018 by Leave a Comment
vScaler has incorporated NVIDIA’s new RAPIDS open source software into its cloud platform for on-premise, hybrid, and multi-cloud environments. Deployable via its own Docker container in the vScaler Cloud management portal, the RAPIDS suite of software libraries gives users the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs. “The new RAPIDS library offers Python interfaces which will leverage the NVIDIA CUDA platform for acceleration across one or multiple GPUs. RAPIDS also focuses on common data preparation tasks for analytics and data science. This includes a familiar DataFrame API that integrates with a variety of machine learning algorithms for end-to-end pipeline accelerations without paying typical serialization costs. RAPIDS also includes support for multi-node, multi-GPU deployments, enabling vastly accelerated processing and training on much larger dataset sizes.”
AMD Powers Mentor Graphics HPC Application Development Environment
November 5, 2018 by Leave a Comment
Today AMD announced the availability of the Mentor Graphics Sourcery CodeBench Lite Edition development environment for AMD EPYC and Ryzen CPUs and AMD Radeon Instinct GPUs. “AMD’s innovative hardware technologies combined with Mentor’s leading Sourcery CodeBench Lite environment will help the company’s growing customer base in developing high performance computing and embedded products,” stated Dr. Randy Allen, director of Advanced Research, Mentor Embedded Platform Solutions. “This integrated solution will allow AMD customers to build, debug and analyze embedded software for multicore, heterogenous applications with high productivity and optimized performance.”
Video: Unified Memory on Summit (Power9 + V100)
November 4, 2018 by Leave a Comment
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.”
OSC to Deploy Pitzer Cluster built by Dell EMC
November 1, 2018 by Leave a Comment
Today the Ohio Supercomputer Center announced plans to deploy the center’s newest, most efficient supercomputer system, the liquid-cooled, Dell EMC-built Pitzer Cluster. “Ohio continues to make significant investments in the Ohio Supercomputer Center to benefit higher education institutions and industry throughout the state by making additional high performance computing (HPC) services available,” said John Carey, chancellor of the Ohio Department of Higher Education. “This newest supercomputer system gives researchers yet another powerful tool to accelerate innovation.”
GPU-Powered Perlmutter Supercomputer coming to NERSC in 2020
October 30, 2018 by Leave a Comment
Today NERSC announced plans for Perlmutter, a pre-exascale system to be installed in 2020. With thousands of NVIDIA Tesla GPUs, the system is expected to deliver three times the computational power currently available on the Cori supercomputer at NERSC. “Optimized for science, the supercomputer will support NERSC’s community of more than 7,000 researchers. These scientists rely on high performance computing to build AI models, run complex simulations and perform data analytics. GPUs can speed up all three of these tasks.”
Video: Cray Rolls Out Shasta Platform for Exascale Computing
October 30, 2018 by Leave a Comment
Today Cray unveiled its new Shasta supercomputing architecture for Exascale. “Shasta eliminates the distinction between clusters and supercomputers with a single new breakthrough supercomputing system architecture, enabling customers to choose the computational infrastructure that best fits their mission, without tradeoffs. With Shasta you can mix and match processor architectures (X86, Arm, GPUs) in the same system as well as system interconnects from Cray (Slingshot), Intel (Omni-Path) or Mellanox (InfiniBand).”
Podcast: Bill Daly on How NVIDIA is Accelerating Ai
October 30, 2018 by Leave a Comment
In this AI Podcast, Bill Dally from NVIDIA describes how the company is accelerating Ai with GPUs. “NVIDIA researchers are gearing up to present 19 accepted papers and posters, seven of them during speaking sessions, at the annual Computer Vision and Pattern Recognition conference next week in Salt Lake City, Utah. Joining us to discuss some of what’s being presented at CVPR, and to share his perspective on the world of deep learning and AI in general is one of the pillars of the computer science world, Bill Dally, chief scientist at NVIDIA.”
