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Intel Open Sources nGraph Deep Neural Network model for Multiple Devices

Over at Intel, Scott Cyphers writes that the company has open-sourced nGraph, a framework-neutral Deep Neural Network (DNN) model compiler that can target a variety of devices. With nGraph, data scientists can focus on data science rather than worrying about how to adapt their DNN models to train and run efficiently on different devices. Continue reading below for highlights of our engineering challenges and design decisions, and see GitHub, our documentation, and our SysML paper for additional details.

Universities step up to Cloud Bursting

In this special guest feature, Mahesh Pancholi from OCF writes that many of universities are now engaging in cloud bursting and are regularly taking advantage of public cloud infrastructures that are widely available from large companies like Amazon, Google and Microsoft. “By bursting into the public cloud, the university can offer the latest and greatest technologies as part of its Research Computing Service for all its researchers.”

Charliecloud: Unprivileged Containers for User-Defined Software Stacks

“What if I told you there was a way to allow your customers and colleagues to run their HPC jobs inside the Docker containers they’re already creating? or an easily learned, easily employed method for consistently reproducing a particular application environment across numerous Linux distributions and platforms? There is. In this talk/tutorial session, we’ll explore the problem domain and all the previous solutions, and then we’ll discuss and demo Charliecloud, a simple, streamlined container runtime that fills the gap between Docker and HPC — without requiring HPC Admins to lift a finger!”

Exascale Computing for Long Term Design of Urban Systems

In this episode of Let’s Talk Exascale, Charlie Catlett from Argonne National Laboratory and the University of Chicago describes how extreme scale HPC will be required to better build Smart Cities. “Urbanization is a bigger set of challenges in the developing world than in the developed world, but it’s still a challenge for us in US and European cities and Japan.”

Video: Addressing Key Science Challenges with Adversarial Neural Networks

Wahid Bhimji from NERSC gave this talk at the 2018 HPC User Forum in Tucson. “Machine Learning and Deep Learning are increasingly used to analyze scientific data, in fields as diverse as neuroscience, climate science and particle physics. In this page you will find links to examples of scientific use cases using deep learning at NERSC, information about what deep learning packages are available at NERSC, and details of how to scale up your deep learning code on Cori to take advantage of the compute power available from Cori’s KNL nodes.”

David Kepczynski from GE to Chair ECP Industry Council

Today the Exascale Computing Project appointed David Kepczynski from GE Global Research as the new chair of the ECP Industry Council. “We are thrilled that Dave Kepczynski has agreed to take the leadership reins for the ECP’s Industry Council,” ECP Director Doug Kothe said. “He has been an active member of the Industry Council since day one, and his experience and vision pertaining to the potential impact of exascale on U.S. industries is invaluable to our mission.” Kothe added, “We wish to thank Michael McQuade for his pioneering leadership role with this external advisory group, and we wish him well with his future plans.”

Introducing the SPEC High Performance Group and HPC Benchmark Suites

Robert Henschel from Indiana University gave this talk at the Swiss HPC Conference. “In this talk, I will present an overview of the High Performance Group as well as SPEC’s benchmarking philosophy in general. Most everyone knows SPEC for the SPEC CPU benchmarks that are heavily used when comparing processor performance, but the High Performance Group specifically focusses on whole system benchmarking utilizing the parallelization paradigms common in HPC, like MPI, OpenMP and OpenACC.”

Ceph on the Brain: Storage and Data-Movement Supporting the Human Brain Project

Adrian Tate from Cray and Stig Telfer from StackHPC gave this talk at the 2018 Swiss HPC Conference. “This talk will describe how Cray, StackHPC and the HBP co-designed a next-generation storage system based on Ceph, exploiting complex memory hierarchies and enabling next-generation mixed workload execution. We will describe the challenges, show performance data and detail the ways that a similar storage setup may be used in HPC systems of the future.”

DOE INCITE Program Seeks Advanced Computational Research Proposals for 2019

The DOE Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program is now seeking proposals for high-impact, computationally intensive research campaigns in a broad array of science, engineering and computer science domains. “From April 16 to June 22, 2018, INCITE’s open call provides an opportunity for researchers to pursue transformational advances in science and technology through large allocations of computer time and supporting resources at the Argonne Leadership Computing Facility (ALCF) and the Oak Ridge Leadership Computing Facility (OLCF). The ALCF and OLCF are DOE Office of Science User Facilities. Open to researchers from academia, industry and government agencies, the INCITE program will award 50 percent of the allocable time on DOE’s leadership-class supercomputers: the ALCF’s Mira and Theta systems and the OLCF’s Summit and Titan systems.”

Pawsey Supercomputing Centre Hosts GPU Hackathon this week

Australia’s Pawsey Supercomputing Centre is hosting a GPU Hackathon this week in Perth, Australia. “The GPU Hackathon is a free event taking place at Esplanade Hotel in Fremantle, from Monday 16 April to Friday 20 April. Six teams from Australia, the United States, and Europe, are gathering in Perth for this 5-day event to adapt their applications for GPU architectures.”