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NVIDIA HGX-2 Ai Supercomputer Comes to Oracle Cloud Infrastructure

Today Oracle announced support for the NVIDIA HGX-2 platform on Oracle Cloud Infrastructure. Designed to meet the needs of the next generation of analytics, machine learning, and AI, Oracle is offering GPU-accelerated deep learning and HPC containers from the NVIDIA GPU Cloud container registry. “Whether you are an engineer, data scientist, researcher or developer, we are bringing the power of compute and cloud to your fingertips.

Sunita Chandrasekaran Receives NSF Grant to Create Powerful Software Framework

Over at the University of Delaware, Julie Stewart writes that assistant professor Sunita Chandrasekaran has received an NSF grant to develop frameworks to adapt code for GPU supercomputers. She is working with complex patterns known as wavefronts, which are commonly found in scientific codes used in analyzing the flow of neutrons in a nuclear reactor, extracting patterns from biomedical data or predicting atmospheric patterns.

Open Source RAPIDS GPU Platform to Accelerate Predictive Data Analytics

Today NVIDIA announced a GPU-acceleration platform for data science and machine learning, with broad adoption from industry leaders, that enables even the largest companies to analyze massive amounts of data and make accurate business predictions at unprecedented speed. “It integrates seamlessly into the world’s most popular data science libraries and workflows to speed up machine learning. We are turbocharging machine learning like we have done with deep learning,” he said.

Video: Reflecting on the Goal and Baseline of Exascale Computing

Thomas Schulthess from CSCS gave this talk at the Blue Waters Summit. “Application performance is given much emphasis in discussions of exascale computing. A 50-fold increase in sustained performance over today’s applications running on multi-petaflops supercomputing platforms should be the expected target for exascale systems deployed early next decade. We will reflect on what this means in practice and how much these exascale systems will advance the state of the art.”

Centro Epson Meteo Moves HPC Weather Forecasting to Verne Global in Iceland

Today Verne Global announced that the Centro Epson Meteo meteorological forecasting organizations will start using the company’s HPC optimized bare-metal infrastructure to accelerate and improve the accuracy of its forecasting and data analytics capabilities. “Verne Global provides us with the peace of mind that we have our own dedicated infrastructure that’s optimized to meet our specific needs and backed-up by a team of real HPC experts, together with the flexibility and scalability that’s usually only associated with cloud-based services.”

Hyperion Research Breakfast Briefing Coming to Dallas for SC18

Hyperion Research will host their annual Breakfast Briefing at SC18 in Dallas. The event takes place at the Adolphus Hotel at 7:15 am – 9:00 am on Tuesday, Nov. 13. Breakfast will be served at 6:45 am. “We will be presenting an update on HPC market results, key technology issues & trends, results of new research studies in AI & Big data, new ROI results, and the mapping of HPC centers across the US.”

How HPC can Benefit Society

Sharan Kalwani writes that that one of the main reasons he got into computing long ago was the potential that he saw in using powerful news supercomputing tools towards addressing the needs of the society we live in. “The point here is that technically the challenges are very tractable, however society needs to also grow at a comparable, if not higher pace than the technology (which is evolving faster than us).”

HPE Powers New Tesseract Supercomputer at EPCC

Over at EPCC, Professor Peter Boyle describes the new Tesseract supercomputer, which is hosted at EPCC’s Advanced Computing Facility. DiRAC is part of the UK’s e-infrastructure investment to improve computing, software development, data storage, networking and distributed computing networks. “Tesseract is an 844-node HPE SGI 8600 supercomputer. Each node has two Xeon scalable processor 4116 “Silver” nodes, and 96 GB of memory. In total, the new system has 20256 Intel Skylake computing cores, and is interconnected using 100 Gbit/s Intel Omnipath interconnect.”

Cloud and Enterprise Adopting HPC-proven CPU-based Interactive, Photorealistic Rendering

The TACC Frontera supercomputer, which will become the fastest academic supercomputer in the United States when it becomes operational in 2019, will rely on CPUs for visualization. “The ability to run and visualize anywhere with SDVis solutions, regardless of the scale of the visualization task and without requiring specialized hardware for interactive response, is the reason HPC centers no longer need to procure GPUs for visualization clusters.”

Sylabs Tunes Singularity 3.0 Containers for Machine Learning

Today Sylabs announced that it has released a new version of its innovative container software: Singularity 3.0. With new enterprise-class features, Singularity is now the premier container runtime solution, enabling your company to seamlessly and efficiently tackle today’s most demanding AI, machine learning, and advanced analytic workloads. “Lenovo and Sylabs have collaborated for over two years around a shared vision of producing lightweight HPC containers that are flexible, secure, and reproducible, while also delivering performance that is equal to native OS performance.”