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Call for Submissions: ISC 2020 Contributed Program

ISC 2020 has issued it Call for Submissions for its Contributed Program. The conference takes place June 21-25, 2020, in Frankfurt, Germany and will be attended by over 3,700 attendees and 160 exhibitors. The event will continue its long-standing tradition as the largest networking platform for vendors and users involved in supercomputing, machine learning, big data, cloud computing, networking and storage.

Deep Learning at scale for the construction of galaxy catalogs

A team of scientists is now applying the power of artificial intelligence (AI) and high-performance supercomputers to accelerate efforts to analyze the increasingly massive datasets produced by ongoing and future cosmological surveys. “Deep learning research has rapidly become a booming enterprise across multiple disciplines. Our findings show that the convergence of deep learning and HPC can address big-data challenges of large-scale electromagnetic surveys.”

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.”

Supermicro Enhances SuperWorkstations for Desktop HPC

Today Supermicro Computer launched a new server-grade high-end workstation to its broad portfolio of fully configurable SuperWorkstation systems. The SYS-5049A-T joins a robust range of solutions supporting dynamic computational workloads for demanding requirements found in scientific research, deep learning (DL), artificial intelligence (AI), augmented reality (AR), and 3-D modeling with real-time simulation.

CSCS to Host HPC User Forum in October

CSCS will host the HPC User Forum October 7-8 in Lugano, Switzerland. “It is the first time that CSCS has the pleasure to host the HPC User Forum. The meeting will offer a review of key trends in high-performance computing, with representation of Swiss, European and U.S. perspectives. Special focus will be given to the positioning of Switzerland in the (European) HPC landscape with a presentation by Peter Brönnimann (State Secretariat for Education, Research and Innovation) and by the Director of CSCS, Thomas Schulthess.”

Exxact Releases New eBook “Getting Started with Deep Learning”

Today Exxact Corporation, a leading provider of High Performance Computing (HPC) and GPU-accelerated deep learning solutions, announced that their new, comprehensive eBook: “Getting Started with Deep Learning” is now available globally for free digital download. “We’ve condensed everything we’ve learned from building state of the art deep learning systems for some of the top research institutes and fortune 500 companies, so that whoever reads this can plan strategically and avoid costly errors.”

DOE Funds Argonne for better materials and chemistry through data science

Argonne is one of five national laboratories and fourteen universities awarded three-year grants under a DOE Funding Opportunity titled ​“Data Science for Discovery in Chemical and Materials Sciences.” Argonne was awarded funding for two research projects. Total funding will be nearly $4.75 million over three years.

HPC Market Update from Hyperion Research

In this video from the HPC User Forum at Argonne, Earl Joseph from Hyperion Research presents and HPC Market Update. The company helps IT professionals, business executives, and the investment community make fact-based decisions on technology purchases and business strategy.

HPE Accelerates Machine Learning Operationalization

Today HPE announced a container-based software solution, HPE ML Ops, to support the entire machine learning model lifecycle for on-premises, public cloud and hybrid cloud environments. “HPE is closing this gap by addressing the entire ML lifecycle with its container-based, platform-agnostic offering – to support a range of ML operational requirements, accelerate the overall time to insights, and drive superior business outcomes.”

AI on XSEDE Systems Promises Early Prediction of Breast Cancer

Researchers are using XSEDE supercomputers and artificial intelligence to predict breast cancer. “Our local GPUs did not have enough memory to accommodate such a scale of data for AI modeling. It could take weeks to run one experiment without the support of powerful GPUs. Using the GPUs from XSEDE, with larger memory, reduced that to a couple of hours.”