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Primeur weekly 2017-12-04

Quantum computing

Simulating physics ...

Key component for quantum computing invented ...

Quantum-emitting answer might lie in the solution ...

Quantum systems correct themselves ...

NCSA SPIN intern Daniel Johnson published in Classical and Quantum Gravity ...

Focus on Europe

9th Irish Supercomputer List published ...

Gap between research and industry HPC in Ireland widens ...

SURFsara extends its status as Intel Parallel Computing Center for 2018 ...

EXDCI issues Call for Workshops for the European HPC Summit Week 2018 ...

Hardware

Supermicro introduces next-generation storage form factor with new Intel "Ruler" all-flash NVMe 1U server and JBOF ...

New director named at Los Alamos National Laboratory ...

AccelStor empowers all-flash array to advance genomics data analysis ...

New Storage 2020 report outlines vision for future HPC storage ...

Loci adds William Schrader, former PSINet Inc. CEO, to Advisory Board ...

Shantenu Jha named Chair of Brookhaven Lab's Center for Data-Driven Discovery ...

Applications

ORNL-designed algorithm leverages Titan to create high-performing deep neural networks ...

Drought-resistant plant genes could accelerate evolution of water-use efficient crops ...

HPE partners with Stephen Hawking's COSMOS Research Group and the Cambridge Faculty of Mathematics ...

Monopole current offers way to control magnets ...

70Gb/s optical intra-connects in data centers based on band-limited devices ...

Lobachevsky University scientists in search of fast algorithms for discrete optimization ...

High-Performance Computing cuts particle collision data prep time ...

TOP500

High performance computer MOGON II at the Johannes Gutenberg-Universität Mainz among the 100 fastest supercomputers in the world ...

The Cloud

HPE unveils industryis first SaaS-based multi-Cloud management solution for on-premises and public Clouds ...

AccelStor revs up NeoSapphire all-flash array portfolio for next generation Cloud application ...

SURFsara extends its status as Intel Parallel Computing Center for 2018

29 Nov 2017 Amsterdam - After successfully scaling deep learning training to more than 100,000 CPU cores, SURFsara will continue its collaboration with Intel in 2018. The current goal is now to expand the scope of the developed techniques and adapt them to scientific challenges from the traditional HPC domain.

2017 was a very productive year for Deep Learning in general and for deep learning scaling in particular. There were many published results on this topic, each offering increasing levels of performance by overcoming previous scalability challenges. As a result of its work as an Intel Parallel Computing Center (PCC), SURFsara has recently published scaling results on up to 1536 Intel Xeon Phi Knights Landing nodes and 1024 Intel Xeon Skylake CPUs.

Through several optimizations SURFsara managed to solve a problem that required two weeks when using state-of-the-art GPUs in only 28 minutes when using a large-scale cluster. Moreover, SURFsara has managed to train models 10 times larger than the ones regularly used today, on datasets that are also around 10 times larger, and can achieve state-of-the-art accuracy. These results were also detailed in a recent blog post.

Noticing the fact that Intel Xeon Skylake CPUs can sustain deep learning training throughput almost as high as state-of-the-art GPUs was particularly exciting. And it does this while also taking care of all OS/system specific tasks, unlike a GPU. As the Intel Xeon Skylake architecture is a clear candidate to form the CPU backbone in the coming timeframe, it is important to note that deep learning training is now competitive on high-end CPUs.

As a subsidiary of the Dutch Cooperative SURF and the Netherlands' leading centre for high performance computing, SURFsara's core expertise lies in scientific application optimization for execution on large-scale HPC resources, through an intimate knowledge of the underlying interplay between the various hardware elements of a large-scale system, but also through an in-depth software domain knowledge, be it numerical weather prediction, astronomy, or drug discovery.

Being well involved in several of these domain-specific scientific projects, SURFsara has noticed that the deep learning tools developed during the IPCC collaboration can be adapted and applied to other scientific disciplines as well, such as the ones previously mentioned. Thus, it is the goal of SURFsara's 2018 collaboration to apply these techniques and improve the results for important real-life scientific problems. This work will be performed in the context of the SURF Open Innovation Lab at SURFsara.

Prof. Dr. Anwar Osseyran, member of the Executive board of SURF and CEO of SURFsara, stated: "After having reached very successful results in accelerating image classification training by improving deep learning scaling during our first year as an Intel PCC, we want to extend and adapt these efficient scaling techniques to other disciplines that traditionally use HPC, but that can benefit from deep learning as well. These can range from numerical weather predictions to molecular dynamics. This will help solve real life problems that are too big for today's analytical solutions. Moreover, by making use of modern supercomputing facilities this can be done in a fraction of the time needed on smaller systems."
Source: SURF

Back to Table of contents

Primeur weekly 2017-12-04

Quantum computing

Simulating physics ...

Key component for quantum computing invented ...

Quantum-emitting answer might lie in the solution ...

Quantum systems correct themselves ...

NCSA SPIN intern Daniel Johnson published in Classical and Quantum Gravity ...

Focus on Europe

9th Irish Supercomputer List published ...

Gap between research and industry HPC in Ireland widens ...

SURFsara extends its status as Intel Parallel Computing Center for 2018 ...

EXDCI issues Call for Workshops for the European HPC Summit Week 2018 ...

Hardware

Supermicro introduces next-generation storage form factor with new Intel "Ruler" all-flash NVMe 1U server and JBOF ...

New director named at Los Alamos National Laboratory ...

AccelStor empowers all-flash array to advance genomics data analysis ...

New Storage 2020 report outlines vision for future HPC storage ...

Loci adds William Schrader, former PSINet Inc. CEO, to Advisory Board ...

Shantenu Jha named Chair of Brookhaven Lab's Center for Data-Driven Discovery ...

Applications

ORNL-designed algorithm leverages Titan to create high-performing deep neural networks ...

Drought-resistant plant genes could accelerate evolution of water-use efficient crops ...

HPE partners with Stephen Hawking's COSMOS Research Group and the Cambridge Faculty of Mathematics ...

Monopole current offers way to control magnets ...

70Gb/s optical intra-connects in data centers based on band-limited devices ...

Lobachevsky University scientists in search of fast algorithms for discrete optimization ...

High-Performance Computing cuts particle collision data prep time ...

TOP500

High performance computer MOGON II at the Johannes Gutenberg-Universität Mainz among the 100 fastest supercomputers in the world ...

The Cloud

HPE unveils industryis first SaaS-based multi-Cloud management solution for on-premises and public Clouds ...

AccelStor revs up NeoSapphire all-flash array portfolio for next generation Cloud application ...