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Converging Workflows Pushing Converged Software onto HPC Platforms

Are we witnessing the convergence of HPC, big data analytics, and AI? Once, these were separate domains, each with its own system architecture and software stack, but the data deluge is driving their convergence. Traditional big science HPC is looking more like big data analytics and AI, while analytics and AI are taking on the flavor of HPC.

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.”

New Paper: Nanophotonic Neural Networks coming Closer to Reality

Over at the Intel AI blog, Casimir Wierzynski writes that Optical Neural Networks have exciting potential for power-efficiency in AI computation. “At last week’s CLEO conference, we and our collaborators at UC Berkeley presented new findings around ONNs, including a proposal for how that original work could be extended in the face of real-world manufacturing constraints to bring nanophotonic neural network circuits one step closer to a practical reality.”

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.”

Preliminary Agenda Posted for HP-CAST at ISC 2019

Hewlett Packard Enterprise has posted their Structural Agenda for HP-CAST at ISC 2019. The event takes place June 14-15 in Frankfurt, Germany. “HP-CAST provides guidance to Hewlett Packard Enterprise on the essential development and support issues for HPC systems.”

DUG Opens the Doors for 250 PF Bubba Supercomputer in Houston

Today DownUnder GeoSolutions (DUG) opened its giant new data center in Skybox Houston. Touted to be one of the most powerful supercomputers on earth, the facility is home to the company’s geophysical cloud service, DUG McCloud. “DUG is offering a unique cloud product including compute, storage, geophysical software, and services, initially with a massive 250 PF of geophysically-configured compute ready to go,” said DUG’s Managing Director, Dr Matthew Lamont.

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.”

GCS in Germany Appoints Prof. Dr. Dieter Kranzlmüller as Chairman of the Board

Today the Gauss Centre for Supercomputing in Germany announced the appointment of Prof. Dr. Dieter Kranzlmüller as its new Chair of the Board of Directors. “As we advance towards the exascale threshold of computing and an era of unprecedented discovery and insights driven by the integration of modeling and simulation, data analytics and artificial intelligence, GCS stands ready to provide the basis and the catalyst of innovation–the hardware, software ecosystem, experience and expertise–needed to boost scientific and industrial breakthroughs.”

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.