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Atos to Deploy Most Powerful Supercomputer in Norway

Today Atos announced a 4-year contract to deliver a BullSequana XH2000 supercomputer to Uninett Sigma2, the national e-infrastructure provider in Norway. As the most powerful supercomputer in Norway, the AMD-powered system will provide researchers with an enhanced computing capacity to enable new innovation breakthroughs. “Norwegian researchers will have access to more than 5 times more capacity than previously, with a theoretical peak performance of 5.9 PetaFlops.”

Agenda Posted: Exacomm 2019 Workshop at ISC High Performance

“The goal of this workshop is to bring together researchers and software/hardware designers from academia, industry and national laboratories who are involved in creating network-based computing solutions for extreme scale architectures. The objectives of this workshop will be to share the experiences of the members of this community and to learn the opportunities and challenges in the design trends for exascale communication architectures.”

Forum Teratec to Spotlight HPC, AI, and Digital Transformation in Europe

Registration is now open for the Forum Teratec in France. The event takes place June 11-12 in Palaiseau. “The Forum Teratec is the premier international meeting for all players in HPC, Simulation, Big Data and Machine Learning (AI). It is a unique place of exchange and sharing for professionals in the sector. Come and discover the innovations that will revolutionize practices in industry and in many other fields of activity.”

Mellanox Introduces High Speed Ethernet Cloud Fabric Technology

Today Mellanox introduced breakthrough Ethernet Cloud Fabric (ECF) technology based on Spectrum-2, the world’s most advanced 100/200/400 Gb/s Ethernet switches. ECF technology provides the ideal platform to quickly build and simply deploy state of the art public and private cloud data centers with improved efficiency and manageability. Spectrum-2 is at the heart a new family of SN3000 switches that come in leaf, spine, and super-spine form factors.”

Diagnose Network Problems Faster with Mellanox WJH Technology

Today Mellanox announced an advanced Network Telemetry technology that provides visibility into Data Plane Anomalies – for public cloud, private cloud and enterprise computing. “What Just Happened (WJH) is a new intelligent monitoring technology that goes well beyond conventional streaming telemetry and Inband Network Telemetry (INT) offerings. Every customer who has tried WJH has been amazed at how quickly they were able to discover behavior they never knew was occurring in their network.”

Mellanox to Accelerate EDA Workloads with WekaIO

Today WekaIO announced that Mellanox has selected the WekaIO Matrix file system to accelerate application performance scaling for their EDA workloads. “Mellanox is a forward-thinking company, we continuously improve our workflows by incorporating new deep learning techniques into our data-intensive EDA workloads, so we needed a modern file system to support our initiatives,” said Udi Weinstein, Chief Information Officer of Mellanox.

HPC Breaks Through to the Cloud: Why It Matters

In this special guest feature, Scot Schultz from Mellanox writes researchers are benefitting in a big way from HPC in the Cloud. “HPC has many different advantages depending on the specific use case, but one aspect that these implementations have in common is their use of RDMA-based fabrics to improve compute performance and reduce latency.”

AMD Powers Corona Cluster for HPC Analytics at Livermore

Lawrence Livermore National Lab has deployed a 170-node HPC cluster from Penguin Computing. Based on AMD EPYC processors and Radeon Instinct GPUs, the new Corona cluster will be used to support the NNSA Advanced Simulation and Computing (ASC) program in an unclassified site dedicated to partnerships with American industry. “Even as we do more of our computing on GPUs, many of our codes have serial aspects that need really good single core performance. That lines up well with AMD EPYC.”

Scaling Deep Learning for Scientific Workloads on the #1 Summit Supercomputer

Jack Wells from ORNL gave this talk at the GPU Technology Conference. “HPC centers have been traditionally configured for simulation workloads, but deep learning has been increasingly applied alongside simulation on scientific datasets. These frameworks do not always fit well with job schedulers, large parallel file systems, and MPI backends. We’ll share benchmarks between native compiled versus containers on Power systems, like Summit, as well as best practices for deploying learning and models on HPC resources on scientific workflows.”

Video: NVIDIA Showcases Programmable Acceleration of multiple Domains with one Architecture

In this video from GTC 2019 in Silicon Valley, Marc Hamilton from NVIDIA describes how accelerated computing is powering AI, computer graphics, data science, robotics, automotive, and more. “Well, we always make so many great announcements at GTC. But one of the traditions Jensen has now started a few years ago is coming up with a new acronym to really make our messaging for the show very, very simple to remember. So PRADA stands for Programmable Acceleration Multiple Domains One Architecture. And that’s really what the GPU has become.”