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Massively Parallel Computer Aided Design of Nano-Transistors: When Physics Lets You Down

“In this talk, the capabilities of a state-of-the-art quantum mechanical device simulator will be briefly reviewed, insisting on the developed multi-level parallelization scheme and highlighting the fact that physics can lead to wrong assumptions regarding the best-suited distribution of the workload. This problem will be addressed through a data-centric transformation of the code.”

Atos on the Road to Exascale with new Test Lab in Angers, France

Today Atos inaugurated its new global HPC Test Lab in Angers, France. The new 2,000 square meter test center, which has the capacity to host the equivalent of approximately 48 BullSequana supercomputers, provides Atos’ HPC customers worldwide with the unique opportunity to thoroughly test their supercomputing equipment under real conditions, to ensure it meets stringent benchmarking criteria, prior to receiving delivery on-premise. “This reaffirms the presence of Atos and its role in the region, and also strengthens the Group’s unique positioning as the European leader in supercomputing, by supporting both its own and its clients’ work to develop ‘exascale’ supercomputers.”

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.”

Gadi – Australia’s Newest Supercomputer

Allan Williams from NCI gave this talk at the Perth HPC Conference. “With 3,200 nodes, Gadi will power some of Australia’s most crucial research, seeking to solve some of the most complex and pressing challenges facing the world currently. Researchers from organizations including the CSIRO, Geosciences Australia, and the Bureau of Meteorology will benefit from faster speeds and higher capacity compared to the existing supercomputer.”

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.”

Video: The SX Aurora TSUBASA (Vector Engine)

Deepak Pathania from NEC gave this talk at the HPC User Forum. “The NEC Vector Engine Processor was developed using 16 nm FinFET process technology for extreme high performance and low power consumption. The Vecor Engine Processor has the world’s first implementation of one processor with six HBM2 memory modules using Chip-on-Wafer-on-Substrate technology, leading to the world-record memory bandwidth of 1.2 TB/s.”

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.”

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.”

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.”

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.”