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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.”

ANSYS to Acquire LSTC

Today ANSYS announced today that it has entered into a definitive agreement to acquire Livermore Software Technology Corporation (LSTC), the premier provider of explicit dynamics and other advanced finite element analysis technology. Once closed, the acquisition will empower ANSYS customers to solve a new class of engineering challenges, including developing safer automobiles, aircraft and trains while reducing or even eliminating the need for costly physical testing.

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.

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.”

Panasas Powers Energy Exploration at Magseis Fairfield

Today Panasas announced the release of a case study featuring the marine survey activities of Panasas customer Magseis Fairfield, a Norway-based geophysics firm that provides ocean bottom seismic acquisition services for exploration and production (E&P) companies. Magseis Fairfield deploys the Panasas ActiveStor appliance for remote storage support in rugged off-shore environments around the world, where it acquires and stores large amounts of seismic 3D and 4D data used to create highly accurate reservoir models that help reduce the risk of drilling errors, avoid unnecessary disruption of natural sites, and streamline resource extraction.

Mellanox to Ship 1 Million ConnectX Adapters in Q3 2019

Today Mellanox announced it is on track to ship over one million ConnectX and BlueField Ethernet network adapters in Q3 2019, a new quarterly record. “Leading data centers worldwide select the award-winning ConnectX and BlueField SmartNICs, to leverage networking speeds of 25, 50, 100, and 200 Gb/s, and take advantage of advanced offload capabilities to accelerate networking, virtualization, storage and security tasks alike — freeing up server CPUs for money-making applications.”

PRACE SHAPE Programme to Support Five new SMEs with HPC

PRACE has announced that following the 9th Call for applications to SHAPE, five more SMEs will be able to start working with PRACE to gain access to HPC expertise and resources, expand their HPC experience and ultimately enhance their business. “So far, SHAPE has helped 45 companies to use HPC, allowing them to benefit from using HPC in their business.”

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.

Parallelism in Python: Directing Vectorization with NumExpr

According to a new edition of Parallel Universe Magazine, from Intel, Python has several pathways to vectorization. These range from just-intime (JIT) compilation with Numba 1 to C-like code with Cython. A chapter from a recent edition of Parallel Universe Magazine, explores parallelism in Python.