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200G HDR InfiniBand to Accelerate Weather Forecasting at ECMWF

Today Mellanox announced that 200 Gigabit HDR InfiniBand has been selected by the European Centre for Medium-Range Weather Forecasts (ECMWF) to accelerate their new world-leading supercomputer, based on Atos’ latest BullSequana XH2000 technology. By leveraging HDR InfiniBand’s fast data throughout, extremely low latency, and smart In-Network Computing engines, ECMWF will enhance, speed up, and increase the accuracy of weather forecasting and predictions.

Video: FPGAs and Machine Learning

James Moawad and Greg Nash from Intel gave this talk at ATPESC 2019. “FPGAs are a natural choice for implementing neural networks as they can handle different algorithms in computing, logic, and memory resources in the same device. Faster performance comparing to competitive implementations as the user can hardcore operations into the hardware. Software developers can use the OpenCL device C level programming standard to target FPGAs as accelerators to standard CPUs without having to deal with hardware level design.”

Deep Learning State of the Art in 2020

Lex Fridman gave this talk as part of the MIT Deep Learning series. “This lecture is on the most recent research and developments in deep learning, and hopes for 2020. This is not intended to be a list of SOTA benchmark results, but rather a set of highlights of machine learning and AI innovations and progress in academia, industry, and society in general.”

Advanced simulation tools for Vortex Bladeless wind power

Vortex Bladeless presented the company’s design for a new wind energy technology. One of the key characteristics of this system is the reduction of mechanical elements that can be worn by friction. The company developed the technology using CFD tools provided by Altair, which helped the company study both the fluid-structure interaction and the behaviour of the magnetic fields in the alternator.

Video: The Parallel Computing Revolution Is Only Half Over

In this video from ATPESC 2019, Rob Schreiber from Cerebras Systems looks back at historical computing advancements, Moore’s Law, and what happens next. “A recent report by OpenAI showed that, between 2012 and 2018, the compute used to train the largest models increased by 300,000X. In other words, AI computing is growing 25,000X faster than Moore’s law at its peak. To meet the growing computational requirements of AI, Cerebras has designed and manufactured the largest chip ever built.”

NVIDIA DGX SuperPOD: Instant Infrastructure for AI Leadership

Darrin Johnson from NVIDIA gave this talk at the DDN User Group. “The NVIDIA DGX SuperPOD is a first-of-its-kind artificial intelligence (AI) supercomputing infrastructure that delivers groundbreaking performance, deploys in weeks as a fully integrated system, and is designed to solve the world’s most challenging AI problems. “When combined with DDN’s A3I data management solutions, NVIDIA DGX SuperPOD creates a real competitive advantage for customers looking to deploy AI at scale.”

Full Roundup: SC19 Booth Tour Videos from insideHPC

Now that SC19 is behind us, it’s time to gather our booth tour videos in one place. Throughout the course of the show, insideHPC talked to dozens of HPC innovators showcasing the very latest in hardware, software, and cooling technologies.

Altair PBS Works Steps Up to Exascale and the Cloud

In this video from SC19, Sam Mahalingam from Altair describes how the company is enhancing PBS Works software to ease the migration of HPC workloads to the Cloud. “Argonne National Laboratory has teamed with Altair to implement a new scheduling system that will be employed on the Aurora supercomputer, slated for delivery in 2021. PBS Works runs big — 50,000 nodes in one cluster, 10,000,000 jobs in a queue, and 1,000 concurrent active users.”

Predictive Data Science for Physical Systems: From Model Reduction to Scientific Machine Learning

Karen Willcox from the University of Texas gave this Invited Talk at SC19. “This talk highlights how physics-based models and data together unlock predictive modeling approaches through two examples: first, building a Digital Twin for structural health monitoring of an unmanned aerial vehicle, and second, learning low-dimensional models to speed up computational simulations for design of next-generation rocket engines.”

Analytics, Multicloud, and the Future of the Datasphere

James Coomer gave this talk at the DDN User Group at SC19. James Coomer from DDN presents: Analytics, Multicloud, and the Future of the Datasphere. “We are adding serious data management, collaboration and security capabilities to the most scalable file solution in the world. EXA5 gives you mission critical availability whilst consistently performing at scale” said James Coomer, senior vice president of product, DDN. “Our 20 years’ experience in delivering the most powerful at-scale data platforms is all baked into EXA5. We outperform everything on the market and now we do so with unmatched capability.”