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Primeur weekly 2017-08-28

Focus

ARM is not just focusing on the Flops but on the science behind the workloads in HPC ...

Crowd computing

Your computer can help scientists study connection between body bacteria and autoimmune diseases ...

Quantum computing

CDL teams up with Rigetti Computing to foster quantum machine learning start-up ecosystem ...

UNSW creates future with launch of 'unique' quantum computing company ...

Nano-hashtags could provide definite proof of Majorana particles - crucial step towards quantum computer ...

High-dimensional quantum encryption performed in real-world city conditions for first time ...

Can large stars anti-aging research help future memory devices? ...

IEEE approves standards project for quantum computing definitions ...

Focus on Europe

SURFnet partners the National eScience Symposium ...

Hardware

SC17 Exhibition setting records ...

Mellanox network adapters for 25G RoCE Ethernet Cloud deployed in Alibaba ...

Supermicro delivers groundbreaking 18 million IOPS of storage performance in new 2U Ultra server ...

ScaleOut Software adds support for distributed caching in ASP.NET Core 2.0 with its v5.6 release ...

Atos forms global reseller alliance with Dell with 8 to 16 sockets Bullion servers ...

Applications

ORNL researchers turn to deep learning to solve science's Big Data problem ...

Ohio Supercomputer Center helps Ohio State researcher share knowledge at home and abroad ...

Solidifying advanced alloy design ...

ANSYS 18.2 enhances simulation speed and accuracy ...

JDRF and IBM collaborate to research risk factors for type 1 diabetes in children ...

The Cloud

Red Hat and Microsoft simplify containers to help enterprises accelerate to the hybrid Cloud ...

ORNL researchers turn to deep learning to solve science's Big Data problem


Scientists will use ORNL's computing resources such as the Titan supercomputer to develop deep learning solutions for data analysis. Credit: Jason Richards/Oak Ridge National Laboratory, U.S. Dept. of Energy.
25 Aug 2017 Oak Ridge - A team of researchers from Oak Ridge National Lab oratory has been awarded nearly $2 million over three years from the Department of Energy to explore the potential of machine learning in revolutionizing scientific data analysis.

The Advances in Machine Learning to Improve Scientific Discovery at Exascale and Beyond (ASCEND) project aims to use deep learning to assist researchers in making sense of massive datasets produced at the world's most sophisticated scientific facilities. Deep learning is an area of machine learning that uses artificial neural networks to enable self-learning devices and platforms. The team, led by ORNL's Thomas Potok, includes Robert Patton, Chris Symons, Steven Young and Catherine Schuman.

While deep learning has long been used to classify relatively simple data such as photographs, today's scientific data presents a much greater challenge because of its size and complexity. Deep learning offers the potential to truly change the way in which researchers use massive datasets to solve challenges spanning the scientific spectrum.

For example, neutron scattering data collected at ORNL's Spallation Neutron Source contain rich scientific information about structure and dynamics of materials under investigation, and deep learning could help researchers better understand the link between experimental data and materials properties. "This understanding can help scientists build and support new scientific theories, and help to design better materials", Thomas Potok stated.

The team aims to revolutionize current analysis paradigms by using deep learning to identify patterns in scientific data that alert scientists to potential new discoveries. Their novel high-performance computing methods will leverage ORNL's Titan supercomputer, the nation's most powerful for open science.

Thomas Potok's team plans to construct a deep learning network capable of deciphering data from hundreds of thousands of inputs, such as sensors, and learning from the complex matrices of sensor readings developed over time. ORNL's rich history of machine learning research, broad range of analytic expertise, and world-class computing resources such as Titan create an ideal setting for such research.

The researchers recently outlined their approach to deep learning in a paper titled "A study of complex deep learning networks on high performance, neuromorphic, and quantum computers" in the Proceedings of the Workshop on Machine Learning in High Performance Computing Environments.

"We revealed new capabilities not feasible with conventional computing architectures", stated Thomas Potok. "It potentially allows us to solve very complicated problems unsolvable with current computing technologies."

The project is supported by DOE's Office of Science. The Spallation Neutron Source and the Oak Ridge Leadership Computing Facility are DOE Office of Science User Facilities.

UT-Battelle manages ORNL for DOE's Office of Science. The Office of Science is the single largest supporter of basic research in the physical sciences in the United States, and is working to address some of the most pressing challenges of our time.

Source: DOE/Oak Ridge National Laboratory

Back to Table of contents

Primeur weekly 2017-08-28

Focus

ARM is not just focusing on the Flops but on the science behind the workloads in HPC ...

Crowd computing

Your computer can help scientists study connection between body bacteria and autoimmune diseases ...

Quantum computing

CDL teams up with Rigetti Computing to foster quantum machine learning start-up ecosystem ...

UNSW creates future with launch of 'unique' quantum computing company ...

Nano-hashtags could provide definite proof of Majorana particles - crucial step towards quantum computer ...

High-dimensional quantum encryption performed in real-world city conditions for first time ...

Can large stars anti-aging research help future memory devices? ...

IEEE approves standards project for quantum computing definitions ...

Focus on Europe

SURFnet partners the National eScience Symposium ...

Hardware

SC17 Exhibition setting records ...

Mellanox network adapters for 25G RoCE Ethernet Cloud deployed in Alibaba ...

Supermicro delivers groundbreaking 18 million IOPS of storage performance in new 2U Ultra server ...

ScaleOut Software adds support for distributed caching in ASP.NET Core 2.0 with its v5.6 release ...

Atos forms global reseller alliance with Dell with 8 to 16 sockets Bullion servers ...

Applications

ORNL researchers turn to deep learning to solve science's Big Data problem ...

Ohio Supercomputer Center helps Ohio State researcher share knowledge at home and abroad ...

Solidifying advanced alloy design ...

ANSYS 18.2 enhances simulation speed and accuracy ...

JDRF and IBM collaborate to research risk factors for type 1 diabetes in children ...

The Cloud

Red Hat and Microsoft simplify containers to help enterprises accelerate to the hybrid Cloud ...