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For the first time, all TOP500 Systems are Petaflop Machines

The latest TOP500 list of the world’s fastest supercomputers is out today, marking a major milestone in the 26-year history of the list. For the first time, all 500 systems deliver a petaflop or more on the Linpack benchmark. “Frontera at TACC is the only new supercomputer in the top 10, which attained its number five ranking by delivering 23.5 petaflops on HPL. The Dell C6420 system, powered by Intel Xeon Platinum 8280 processors.”

Six Nines to Showcase AWS-Powered HPC at ISC 2019

AWS HPC partner Six Nines is showcasing its HPC solutions for AWS this week at ISC 2019 in Frankfurt. Based in Oakland, Six Nines offers a full range of expert-level cloud consulting services and solutions to accelerate cloud adoption and reduce risk, including a cloud adoption framework, migration assessments, cost & billing optimization and HPC solutions.

The Convergence of HPC and AI Workloads Requires Flexibility and Performance

Finding the best solution to meet the requirements for intertwined HPC and AI workloads requires us tolook at the overall platform benefits versus the benefits of individual technologies. With exascale on the horizon, the blending of HPC and AI algorithms, and ever-increasing data sets, having an overall robust platform is more important than ever. Intel makes the case for HPC and AI to share a common platform. 

NEC Delivers HPC Cluster to RWTH Aachen University in Germany

Today NEC announced that RWTH Aachen University in Germany has started operations of a new HPC cluster. Called CLAIX-2018 the system augments the university’s existing CLAIX-2016 installation. “RWTH Aachen is one of the most renowned universities in Germany, and this project is a lighthouse project not only for the HPC datacentre, but also for NEC,” said Yuichi Kojima, Vice President HPC EMEA at NEC Deutschland.

NEXTGenIO Project Delivers Prototype to EPCC

The EPCC supercomputing centre at the University of Edinburgh has installed a prototype system developed by the NEXTGenIO project. Funded by the European Commission, NEXTGenIO is an R&D project tasked with developing solutions to high performance computing’s I/O and data challenges. “Our ongoing collaboration with NEXTGenIO allows us to develop solutions to speed up time-consuming I/O operations in HPC applications and workflows, leading to faster execution, less use of resources, and improved scalability,” said Trish Damkroger from Intel.

Microway Shipping Intel Cascade Lake Systems in Volume

Today Microway announced that the company is now shipping 2nd Generation Intel Xeon Scalable processors in volume, including next-generation NumberSmasher clusters, servers, and WhisperStations. “This new family of processors boosts performance for Microway custom deployments with increased CPU core counts, higher memory capacity and bandwidth, improved clock speeds, and innovative new features for HPC, AI, and Deep Learning. A Microway analysis finds that, without exception, 2nd generation Intel Xeon Scalable CPUs are expected to outperform their predecessors.”

NVIDIA EGX Accelerates AI on TYAN Edge Server

Today TYAN announced that it is teaming with NVIDIA to integrate the NVIDIA EGX platform with its Thunder SX TN76-B7102 edge server, completing TYAN’s GPU server product line. “NVIDIA EGX provides the missing link for low-latency AI computing at the edge with an advanced, light-compute platform, reducing the amount of data that needs to be pushed to the cloud.”

The Pending Age of Exascale

In this special guest feature from Scientific Computing World, Robert Roe looks at advances in exascale computing and the impact of AI on HPC development. “There is a lot of co-development, AI and HPC are not mutually exclusive. They both need high-speed interconnects and very fast storage. It just so happens that AI functions better on GPUs. HPC has GPUs in abundance, so they mix very well.”

Intel Xeon Scalable Processors Set Deep Learning Performance Record on ResNet-50

Today Intel announced a deep learning performance record on image classification workloads. “Today, we have achieved leadership performance of 7878 images per second on ResNet-50 with our latest generation of Intel Xeon Scalable processors, outperforming 7844 images per second on Nvidia Tesla V100, the best GPU performance as published by Nvidia on its website including T4.”

Speed Machine Learning with the Model Zoo for Intel Architecture

Intel has launched a Model Zoo for Intel Architecture, an open-sourced collection of optimized machine learning inference applications that demonstrates how to get the best performance on Intel platforms. The project contains more than 20 pre-trained models, benchmarking scripts, best practice documents, and step-by-step tutorials for running deep learning (DL) models optimized for Intel Xeon Scalable processors.