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Video: Exascale Deep Learning for Climate Analytics

Thorsten Kurth Josh Romero gave this talk at the GPU Technology Conference. “We’ll discuss how we scaled the training of a single deep learning model to 27,360 V100 GPUs (4,560 nodes) on the OLCF Summit HPC System using the high-productivity TensorFlow framework. This talk is targeted at deep learning practitioners who are interested in learning what optimizations are necessary for training their models efficiently at massive scale.”

Podcast: Astronomers Turn to AI as New Telescopes Come Online

In this AI Podcast, Brant Robertson from UC Santa Cruz describes how astronomers are turning to AI to turn the vast quantities of data that will be pouring out of next-generation telescopes into world-changing scientific discoveries. “Good news: astronomers are getting new tools to let them see further, better than ever before. The bad news: they’ll soon be getting more data than humans can handle.”

CosmoGAN Neural Network to Study Dark Matter

As cosmologists and astrophysicists delve deeper into the darkest recesses of the universe, their need for increasingly powerful observational and computational tools has expanded exponentially. From facilities such as the Dark Energy Spectroscopic Instrument to supercomputers like Lawrence Berkeley National Laboratory’s Cori system at NERSC, they are on a quest to collect, simulate, and analyze […]

Job of the Week: AI Technical Lead at New York University

“The NYU High Performance Computing team is seeking an Artificial Intelligence (AI) Technical Lead to build state-of-the-art computing infrastructure in-house and in the cloud, and an ecosystem with AI and machine learning solutions, to support all NYU scholars who utilize AI technologies in research projects and teaching. This position will be involved in scoping, architecting, designing, building, and supporting the computing, and analytical infrastructure to deliver AI solutions (ex. image processing, predictive analytics, expert systems) in order to enhance the HPC teams AI offerings, improve service, help build partnerships, and add capacity and capabilities.”

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.”

AI Chipmaker Hailo Releases Power-efficient Deep Learning Processor

Today AI chipmaker Hailo announced the “world’s top performing deep learning processor.” The company is now sampling its breakthrough Hailo 8 chip with select partners across multiple industries, with a focus on automotive. The chip is built with an innovative architecture that enables edge devices to run sophisticated deep learning applications that could previously run only on the cloud.

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.”

Quadric.io to Build “Supercomputer for Edge Devices”

Today chip startup Quadric.io announced plans to build the world’s first “supercomputer” specifically designed for the real-time needs of autonomous systems. “Instead of building a heterogeneous system with CPUs/GPUs/FPGAs & AI chips and dealing with that complexity of software and hardware integration, Quadric has the technology to handle most of the application in a single unified hardware architecture and software model.”

EuroHPC – The EU Strategy in High Performance Computing

Thomas Skordas from the European Commission gave this talk at EuroHPC Summit Week in Poland. “The EuroHPC Summit Week brings together relevant European supercomputing stakeholders and decision makers, allowing them to share on the one hand their needs and future expectations and on the other hand the latest technological developments, to define synergies and participate in shaping the future of European supercomputing.”

Stony Brook University Launches New Institute for AI Discovery

Today Stony Brook University launched the Institute for AI-Driven Discovery and Innovation to advance AI research and apply the transformative power of innovation driven by AI across disciplines. The AI Institute will focus on four grand challenges: health care; infrastructure; education; and, finance. It will also focus on five foundational research areas: automated and scalable knowledge acquisition; predictive intelligence; explainable AI; trustworthy AI; and, ethical AI.