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Primeur weekly 2018-08-20

Focus

NVIDIA's Tensor Core GPU offers best of both worlds for HPC and AI with multiple precision ...

Quantum computing

Another step forward on universal quantum computer ...

Quantum material is promising 'ion conductor' for research and new technologies ...

Focus on Europe

Professor Arndt Bode receives highest award for public service in Germany ...

Baycrest co-created Virtual Brain joins flagship neuroscience initiative in Europe ...

Middleware

ShareBackup could keep data in the fast lane ...

Hardware

Asetek to issue Q2 2018 with a record quarterly revenue ...

HPE triples performance and enhances energy efficiency in new supercomputer for National Renewable Energy Laboratory (NREL) ...

NVIDIA reinvents computer graphics with Turing architecture ...

NVIDIA unveils Quadro RTX, world's first ray-tracing GPU ...

CoolIT Systems announces STULZ ANZ as master distributor for liquid cooling products in Australasian region ...

Tachyum touts benefits of universal processor for hyperscale data centres, HPC and AI markets at Hot Chips 2018 ...

"Mission: Green Computing" by Supermicro introduces total cost to the environment (TCE) for leading data centres ...

Rochester Institute of Technology awarded NSF grant to advance high-tech computer architectures ...

Applications

OmniTier's CompStor brings de novo analytics to genomics ...

Deep Learning stretches up to scientific supercomputers ...

More efficient security for Cloud-based machine learning ...

Trailblazer in computational complexity theory to receive Knuth Prize ...

Fellowships recognize tomorrow's supercomputing innovators ...

Magnetic antiparticles offer new horizons for information technologies ...

Low bandwidth? Use more colors at once ...

The Cloud

Tracking down the Big Bang: CERN and Oracle extend research and development partnership ...

Premier Indian Government think tank partners with Perlin Network to advance its national distributed computing infrastructure ...

Deep Learning stretches up to scientific supercomputers

Researchers delivered a 15-petaflop deep-learning software and ran it on Cori, a supercomputer at the National Energy Research Scientific Computing Center, a Department of Energy Office of Science user facility. Credit: Image courtesy of Lawrence Berkeley National Laboratory.13 Aug 2018 Washington, D.C. - Machine learning, a form of artificial intelligence, enjoys unprecedented success in commercial applications. However, the use of machine learning in high performance computing for science has been limited. Why? Advanced machine learning tools weren't designed for Big Data sets, like those used to study stars and planets. A team from Intel, National Energy Research Scientific Computing Center (NERSC), and Stanford changed that situation. They developed the first 15-petaflop deep-learning software. They demonstrated its ability to handle large data sets via test runs on the Cori supercomputer.

Using machine learning techniques on supercomputers, scientists could extract insights from large, complex data sets. Powerful instruments, such as accelerators, produce massive data sets. The new software could make the world's largest supercomputers able to fit such data into deep learning uses. The resulting insights could benefit Earth systems modeling, fusion energy, and astrophysics.

Machine learning techniques hold potential for enabling scientists to extract valuable insights from large, complex data sets being produced by accelerators, light sources, telescopes, and computer simulations. While these techniques have had great success in a variety of commercial applications, their use in high performance computing for science has been limited because existing tools were not designed to work with the terabyte- to petabyte-sized data sets found in many science domains.

To address this problem a collaboration among Intel, the National Energy Research Scientific Computing Center, and Stanford University has been working to solve problems that arise when using deep learning techniques, a form of machine learning, on terabyte and petabyte data sets. The team developed the first 15-petaflop deep-learning software. They demonstrated its scalability for data-intensive applications by executing a number of training runs using large scientific data sets. The runs used physics- and climate-based data sets on Cori, a supercomputer located at the National Energy Research Scientific Computing Center. They achieved a peak rate between 11.73 and 15.07 petaflops (single-precision) and an average sustained performance of 11.41 to 13.47 petaflops. A petaflop is million billion calculations per second.

This research used resources at the National Energy Research Scientific Computing Center, a Department of Energy, Office of Science, Advanced Scientific Computing Research user facility.

The paper titled "
Source: US Department of Energy - DOE

Back to Table of contents

Primeur weekly 2018-08-20

Focus

NVIDIA's Tensor Core GPU offers best of both worlds for HPC and AI with multiple precision ...

Quantum computing

Another step forward on universal quantum computer ...

Quantum material is promising 'ion conductor' for research and new technologies ...

Focus on Europe

Professor Arndt Bode receives highest award for public service in Germany ...

Baycrest co-created Virtual Brain joins flagship neuroscience initiative in Europe ...

Middleware

ShareBackup could keep data in the fast lane ...

Hardware

Asetek to issue Q2 2018 with a record quarterly revenue ...

HPE triples performance and enhances energy efficiency in new supercomputer for National Renewable Energy Laboratory (NREL) ...

NVIDIA reinvents computer graphics with Turing architecture ...

NVIDIA unveils Quadro RTX, world's first ray-tracing GPU ...

CoolIT Systems announces STULZ ANZ as master distributor for liquid cooling products in Australasian region ...

Tachyum touts benefits of universal processor for hyperscale data centres, HPC and AI markets at Hot Chips 2018 ...

"Mission: Green Computing" by Supermicro introduces total cost to the environment (TCE) for leading data centres ...

Rochester Institute of Technology awarded NSF grant to advance high-tech computer architectures ...

Applications

OmniTier's CompStor brings de novo analytics to genomics ...

Deep Learning stretches up to scientific supercomputers ...

More efficient security for Cloud-based machine learning ...

Trailblazer in computational complexity theory to receive Knuth Prize ...

Fellowships recognize tomorrow's supercomputing innovators ...

Magnetic antiparticles offer new horizons for information technologies ...

Low bandwidth? Use more colors at once ...

The Cloud

Tracking down the Big Bang: CERN and Oracle extend research and development partnership ...

Premier Indian Government think tank partners with Perlin Network to advance its national distributed computing infrastructure ...