• A Simulation Booster for Nanoelectronics

    Researchers from ETH Zurich have developed a method that can simulate nanoelectronics devices and their properties realistically, quickly and efficiently. This offers a ray of hope for the industry and data centre operators alike, both of which are struggling with the (over)heating that comes with increasingly small and powerful transistors – and with the high resulting electricity costs for cooling. [READ MORE…]

Featured Stories

  • Intel Ships Stratix 10 DX FPGAs

    Intel today announced shipments of new Intel Stratix 10 DX field programmable gate arrays (FPGA). “Stratix 10 DX FPGAs with the new interfaces include the option to support select Intel Optane DC persistent memory dual in-line memory modules (DIMMs). They dramatically increase bandwidth and provide coherent memory expansion and hardware acceleration for upcoming select Intel Xeon Scalable processors.” [READ MORE…]

  • DDN to acquire IntelliFlash Business Unit from Western Digital

    Today DDN announced that it has entered into a strategic partnership with Western Digital Corp. that includes an agreement to acquire Western Digital’s IntelliFlash business. Additionally, the companies will expand their existing relationship through a mutual global strategic sourcing agreement. DDN and Western Digital are committed to executing a smooth transition for customers and key stakeholders. [READ MORE…]

  • Exascale Computing Project Update

    Doug Kothe from the Exascale Computing Project gave this talk at the HPC User Forum. “The Exascale Computing Project (ECP) is focused on accelerating the delivery of a capable exascale computing ecosystem that delivers 50 times more computational science and data analytic application power than possible with DOE HPC systems such as Titan (ORNL) and Sequoia (LLNL). With the goal to launch a US exascale ecosystem by 2021, the ECP will have profound effects on the American people and the world.” [READ MORE…]

Featured Resource

GPU Supercomputing

The ROI of GPU-Accelerated Computing

Previously, many organizations trying to analyze big data relied on costly, central processing unit (CPU) intensive infrastructure. With graphics processing unit (GPU)-accelerated computing, though, the information technology (IT) industry has a new, more effective, more efficient alternative. Download the new white paper from Penguin Computing that explores how adoption of GPU-accelerated computing can offer a significant return on investment (ROI) today and pave the way to gain additional advantage from future technical developments.

Recent News

Industry Perspectives

RSS Featured from insideBIGDATA

  • Best of arXiv.org for AI, Machine Learning, and Deep Learning – August 2019
    In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.

Editor’s Choice

  • New Liquid Cooled AMD EPYC 7H12 Processor Breaks Performance Records

    Today AMD announced a new addition to the 2nd Generation AMD EPYC family, the AMD EPYC 7H12 processor. The 64 core/128 thread, 2.6Ghz base frequency, 3.3Ghz max boost frequency, 280W TDP processor is specifically built for HPC customers and workloads, using liquid cooling to deliver leadership supercomputing performance. “In an ATOS testing on their BullSequana XH2000, the new AMD EPYC 7H12 processor has set four new world-records in server performance. With a LINPACK score of ~ 4.2 TeraFLOPS, the new chip performs ~11% better than the AMD EPYC 7742 processor.” [READ MORE…]

  • ExaNeSt Project Successfully Builds Prototype for Exascale

    In this video, researchers describe the results from the ExaNeSt project. “The prototype is now successfully built, demonstrating energy efficiency in a High-Performance Computing (HPC) testbed: the energy consumed for solving a given problem on this new platform is 3 to 10 times lower than what traditional HPC processors of the same time generation consume for solving the same problem. The substantial prototype has been validated through the execution of full HPC applications from materials science, climate forecasting, computational fluid dynamics, astrophysics, neuroscience, and a database.” [READ MORE…]

  • Computational Evaluation of Cloud HPC with a Global Atmospheric Model

    Daniel Arevalo from DeVine Consulting gave this talk at the HPC User Forum. “Prompted by DoD priorities for modernization, cost savings, and redundancy, this project compared the performance of the NAVGEM on an in-house Cray system against the follow cloud offerings: AWS c4.8xlarge, Penguin B30 queue, Azure H16r, and AWS c5n.18xlarge.” [READ MORE…]

  • NVIDIA Powers Rosie Supercomputer at MSOE

    An NVIDIA GPU-powered supercomputer named “Rosie” is at the heart of a new computational science facility at the Milwaukee School of Engineering. “Housed in a glass-walled area within the newly constructed four-story Diercks Hall, the new NVIDIA-powered AI supercomputer includes three NVIDIA DGX-1 pods, each with eight NVIDIA V100 Tensor Core GPUs, and 20 servers each with four NVIDIA T4 GPUs. The nodes are joined together by Mellanox networking fabric and share 200TB of network-attached storage. Rare among supercomputers in higher education, the system —which provides 8.2 petaflops of deep learning performance — will be used for teaching undergrad classes.” [READ MORE…]

  • Applying Cloud Techniques to Address Complexity in HPC System Integrations

    Arno Kolster from Providentia Worldwide gave this talk at the HPC User Forum. “OLCF and technology consulting company Providentia Worldwide recently collaborated to develop an intelligence system that combines real-time updates from the IBM AC922 Summit supercomputer with local weather and operational data from its adjacent cooling plant, with the goal of optimizing Summit’s energy efficiency. The OLCF proposed the idea and provided facility data, and Providentia developed a scalable platform to integrate and analyze the data.” [READ MORE…]

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