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Can we use Machine Learning to Learn about Machines?

In this special guest feature, Ellexus CEO Rosemary Francis writes that the convergence of HPC and Ai is already changing the landscape in the world of supercomputing. “It is only as machines get faster that they are able to get cleverer. This means that more and more industries are becoming interested in making supercomputers even more powerful and investment in the exascale goal will increase.”

Supercomputing More Fuel-Efficient Engines at GM

Ronald Grover from GM gave this talk at the HPC User Conference. “Ronald Grover his colleagues at GM are using the Titan supercomputer at the Oak Ridge Leadership Computing Facility (OLCF), a US Department of Energy (DOE) Office of Science User Facility at DOE’s Oak Ridge National Laboratory (ORNL), to improve combustion models for diesel passenger car engines with an ultimate goal of accelerating innovative engine designs while meeting strict emissions standards.”

Video: Energy Efficient Acceleration of RNNs using CGRA

Prof. Aviral Shrivastava from Arizona State University gave this talk at the ARM Research Summit. “Prof. Aviral Shrivastava is Associate Professor in the School of Computing Informatics and Decision Systems Engineering at the Arizona State University, where he has established and heads the Compiler and Microarchitecture Labs (CML).”

Cray Supercomputer Powers Japan’s Railway Technical Research Institute

Today Cray announced that it has delivered and installed a Cray XC50 supercomputer and a ClusterStor L300 storage system at Railway Technical Research Institute (RTRI), the research and development arm for Japan Railways Group. The supercomputer will be used to perform railway research in the areas of applying new technologies and materials, enhancing simulation techniques, analyzing railway-specific phenomena and improving evaluation methods.

Survey Foretells Explosive Growth in Machine Learning Projects Over Next Two Years

Over at the Univa Blog, Gary Tyreman writes that the company sponsored an industry-wide survey to better understand what key challenges our HPC users are currently facing that are preventing them from moving their machine learning (ML) projects into production. “Our goal is to use this data to help guide our customers and recommend the right set of tools and migration options needed to accelerate value in machine learning.”

Video: Leading the charge for ARM in HPC

Andy Warner from HPE gave this talk at the ARM Research Summit. “The Arm HPC user Group hosted by going Arm workshop, will enable attendees to take in technical presentations by fellow applications programmers and tool authors who are currently using the Arm platform. This workshop is all about sharing experiences and knowledge. Attendees will gain from the first-hand knowledge of experienced scientific application programmers writing for the Arm platform, including topics such as: optimizing for 64-bit Arm, memory systems, scalability and vectorization.”

Agenda Posted: HPC User Forum in Stuttgart

Hyperion Research has posted the speaker agenda for their upcoming HPC User Forum in Stuttgart. The two-day event takes place October 1-2, 2018 (midday to midday) at the High Performance Computing Center Stuttgart (HLRS). “The agenda will focus on HPC developments in Europe, including updates on quantum technologies, the European Processor Initiative and the Fortissimo Project for SMEs, along with perspectives from the Gauss Center for Supercomputing and the directors of Germany’s national supercomputing centers.”

Industry HPC Trends & Advocacy

David Kepczynski from GE gave this talk at the HPC User Forum in Detroit. “David Kepczynski from GE Global Research was recently apponted as the new chair of the ECP Industry Council, an external advisory group of executives from some of the nation’s most prominent companies with a collaborative interest in bringing the potential of exascale computing to a wide range of industry segments.”

Supermicro HGX-2 Cloud Server to Sport 2 Petaflops of Ai Horsepower

Today Supermicro announced that the company’s upcoming NVIDIA HGX-2 cloud server platform will be the world’s most powerful system for artificial intelligence and HPC capable of performing at 2 PetaFLOPS. “Our new HGX-2 system will enable efficient training of complex models. It combines sixteen Tesla V100 32GB SXM3 GPUs connected via NVLink and NVSwitch to work as a unified 2 PetaFlop accelerator with half a terabyte of aggregate GPU memory to deliver unmatched compute power.”

Video: How Governments Can Get Involved in Artificial Intelligence

In this episode of Ai News, David Shaw examines the question: is Ai tangible or realistic? “Naveen believes that we have to start at the beginning, in elementary schools, and try to model curriculum with AI in mind. Just as kids learn skills like typing in school, they might also gain some guided computational skills. When it comes to STEM, more schools can try to incentivize students to excel in these fields by providing more grants and scholarships.”