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Intel and AWS Team for HPC Performance in the Cloud

In this video from SC19, Trish Damkroger from Intel and Ian Colle from AWS describe how the two companies collaborate to deliver the best possible application performance in the Cloud. “HPC on AWS, powered by Intel Xeon Scalable processors, offers the most elastic, scalable cloud infrastructure to run HPC applications, and the range of services makes it easier than ever to get started quickly, securely, and cost-effectively.”

AMD Delivers Best-in-Class HPC Performance at SC19

Today at SC19, AMD announced a set of new customer wins and new platforms supporting AMD EPYC processors and Radeon Instinct accelerators, as well as the release of ROCm 3.0 development environment. “HPC organizations are continuing to adopt the 2nd Gen AMD EPYC processor and Radeon Instinct accelerators for more powerful and efficient supercomputing systems. The 2nd Gen EPYC processors provide twice the manufacturing application performance and up to 60% faster Life Sciences simulations than competing solutions, while the Radeon Instinct GPU accelerator provides up to 6.6 peak theoretical TFLOPS Double Precision performance for HPC workloads.”

Dell Technologies Introduces New Solutions to Advance HPC and AI Innovation

At SC19 this week, Dell Technologies is introducing several new solutions, reference architectures and portfolio advancements all designed to simplify and accelerate customers’ HPC and AI efforts. “There’s a lot of value in the data that organizations collect, and HPC and AI are helping organizations get the most out of this data,” said Thierry Pellegrino, vice president of HPC at Dell Technologies. “We’re committed to building solutions that simplify the use and deployment of these technologies for organizations of all sizes and at all stages of deployment.”

Video: NVIDIA Magnum IO Moves Big Data Faster than Previously Possible

Today NVIDIA introduced NVIDIA Magnum IO, a suite of software to help data scientists and AI and high performance computing researchers process massive amounts of data in minutes, rather than hours. “Optimized to eliminate storage and input/output bottlenecks, Magnum IO delivers up to 20x faster data processing for multi-server, multi-GPU computing nodes when working with massive datasets to carry out complex financial analysis, climate modeling and other HPC workloads.”

Lenovo and Intel to Bring High-End HPC Capabilities to more users with Project Everyscale

In this video, Trish Damkroger from Intel and Scott Tease from Lenovo describe their collaboration on Project Everyscale. “With Project Everyscale, our goal is to democratize exascale technologies and bring leading Xeon scalable processors, accelerators, storage, fabrics, software and more to HPC customers of every scale or any workload.”

Dr. Eng Lim Goh on Swarm Learning and Steering HPC Simulation with AI

In this fireside chat from SC19, Dr. Eng Lim Goh from HPE describes how the convergence of HPC and AI is changing the way scientists and engineers do their simulations. He also cites a case study of “Swarm Learning” where hospitals were able to train AI diagnostic models without sharing private patient data. Transcript: insideHPC: […]

HPE and Cray Unveil HPC and AI Solutions Optimized for the Exascale Era

Today HPE announced it will deliver the industry’s most comprehensive HPC and AI portfolio for the exascale era, which is characterized by explosive data growth and new converged workloads such as HPC, AI, and analytics. “The addition of Cray, Inc., which HPE recently acquired, bolsters HPE’s HPC and AI solutions to now encompass an end-to-end supercomputing architecture across compute, interconnect, software, storage and services, delivered on premises, hybrid or as-a-Service. Now every enterprise can leverage the same foundational HPC technologies that power the world’s fastest systems, and integrate them into their data centers to unlock insights and fuel new discovery.”

Slidecast: Dell EMC Using Neural Networks to “Read Minds”

In this slidecast, Luke Wilson from Dell EMC describes a case study with McGill University using neural networks to read minds. “If you want to build a better neural network, there is no better model than the human brain. In this project, McGill University was running into bottlenecks using neural networks to reverse-map fMRI images. The team from the Dell EMC HPC & AI Innovation Lab was able to tune the code to run solely on Intel Xeon Scalable processors, rather than porting to the university’s scarce GPU accelerators.”

DDN Launches New Data Management Capabilities and Platforms for AI and HPC

Today DDN announced new infrastructure and multicloud solutions ahead of its return to SC19 in Denver. “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.”

GPU-Powered Turbocharger coming to JUWELS Supercomputer at Jülich

The Jülich Supercomputing Centre is adding a high-powered booster module to their JUWELS supercomputer. Designed in cooperation with Atos, ParTec, Mellanox, and NVIDIA, the booster module is equipped with several thousand GPUs designed for extreme computing power and artificial intelligence tasks. “With the launch of the booster in 2020, the computing power of JUWELS will be increased from currently 12 to over 70 petaflops.”