Back to Table of contents

Primeur weekly 2017-02-13

Focus

Funding agencies and academia need to rethink reward structure for computational tool developers to tackle big scientific challenges ...

OpenAire to support more technical e-Infrastructures with Open Research Data guidelines, publication and training ...

Exascale supercomputing

ISC High Performance keynote forecasts future role of HPC in weather and climage prediction ...

Crowd computing

Towards equal access to digital coins ...

Quantum computing

Large groups of photons on demand - an equivalent of photonic 'integrated circuit' ...

Protecting quantum computing networks against hacking threats ...

Sorting machine for atoms ...

Focus on Europe

HPC-Europa3 provides access to European HPC systems ...

Peter the Great Saint Petersburg Polytechnic University is first university to introduce computational computer code for Airbus ...

Middleware

Introducing Hazelcast Jet: a new lightweight, distributed data processing engine ...

Bright Computing announces strategic alliance with Curtiss-Wright ...

Hardware

NVIDIA powers new class of supercomputing workstations with breakthrough capabilities for design and engineering ...

Van Andel research institute optimises HPC pipeline to drive research discoveries and new drug therapies with end-to-end DDN solution ...

CoolIT Systems issued U.S. patent for modular heat-transfer solutions ...

ORNL researchers break data transfer efficiency record ...

Cray reports 2016 full year and fourth quarter financial results ...

Supermicro deploys 30,000+ MicroBlade servers to enable one of the world's highest Efficiency (1.06 PUE) data centres ...

Mellanox ships more than 100,000 cables for next generation 100 Gb/s networks ...

UMass Amherst boosts deep learning research with powerful new GPU cluster ...

Oak Ridge National Laboratory enhances data integrity and accessibility with Active Archive Solutions ...

Applications

ANSYS spurs pervasive engineering simulation with release 18 ...

Computing sciences students: Get your team together for the SC17 Student Cluster Competition in Denver ...

Latest Allinea update advances code optimization across platforms ...

Con Edison selects C3 IoT for Big Data and predictive analytics platform and applications ...

New algorithms may revolutionize drug discoveries - and our understanding of life ...

When data's deep, dark places need to be illuminated ...

Computer trained to predict which AML patients will go into remission and which will relapse ...

The Cloud

Cycle Computing collaborates with ANSYS on its Enterprise Cloud HPC offering ...

IBM launches "Digital - Nation Africa" and invests $70 million to bring digital skills to Africa with free, Watson-powered skills platform for 25 million people ...

UMass Amherst boosts deep learning research with powerful new GPU cluster

Erik Learned-Miller leads the UMass Amherst's new GPU cluster housed at the Massachusetts Green High Performance Computing Center in nearby Holyoke. Credit: UMass Amherst.8 Feb 2017 Amherst - With a new cluster of specialized graphics processing units (GPUs) now installed, the University of Massachusetts Amherst is poised to attract the nation's next crop of top Ph.D. students and researchers in such fields as artificial intelligence, computer vision and natural language processing, according to associate professor Erik Learned-Miller of the College of Information and Computer Sciences (CICS). He said the new network of 400 GPUs is unusually large for an academic cluster.

Lead researcher Erik Learned-Miller stated: "GPUs are critical for modern computer science research because they have such enormous computational power. They can address extreme computational needs, solving problems 10 times faster than conventional processors, in days rather than months. They can run neural network algorithms that are prohibitively slow on lesser machines. Our new network of 400 GPUs is unusually large for an academic cluster."

UMass Amherst's new GPU cluster, housed at the Massachusetts Green High Performance Computing Center in Holyoke, is the result of a five-year, $5 million grant to the campus from Gov. Charlie Baker's administration and the Massachusetts Technology Collaborative last year. It represents a one-third match to a $15 million gift supporting data science and cybersecurity research from the MassMutual Foundation of Springfield.

Deep learning research uses neural network algorithms to make sense of large data sets. The approach teaches computers through trial and error to categorize data, much as human brains do. "Deep learning is a revolutionary approach to some of the hardest problems in machine reasoning, and is the 'magic under the hood' of many commercial products and services", stated Erik Learned-Miller. "Google Translate, for example, produced more accurate and natural translations thanks to a novel deep-learning approach."

Andrew McCallum, professor and founder of the Center for Data Science at UMass Amherst, stated: "This is a transformational expansion of opportunity and represents a whole new era for the centre and our college. Access to multi-GPU clusters of this scale and speed strengthens our position as a destination for deep learning research and sets us apart among universities nationally."

He said the campus currently has research projects that apply deep learning techniques to computational ecology, face recognition, graphics, natural language processing and many other areas.

The state funds must be used for computing hardware at UMass Amherst, its Springfield Center for Cybersecurity and for terminals at Mount Holyoke College and the UMass Center in Boston, the researchers note.

Erik Learned-Miller says he and colleagues are now in the first year of the grant, during which about $2 million has been spent on two clusters: the GPU cluster dubbed "Gypsum" and a smaller cluster of traditional CPU machines dubbed "Swarm II". Gypsum consists of 400 GPUs installed on 100 computer nodes, along with a storage system and a back-up system. It is configured with a leading software package for deploying, monitoring and managing such clusters.

Not only do the researchers hope the GPUs will accelerate deep learning research and train a new generation of experts at CICS, but an important overall goal is to foster collaborations between UMass Amherst and industry. For example, if MassMutual data scientists design a practical problem with high computational needs, they can collaborate with sponsored UMass faculty and graduate students to solve it on the Gypsum cluster.

Source: University of Massachusetts at Amherst

Back to Table of contents

Primeur weekly 2017-02-13

Focus

Funding agencies and academia need to rethink reward structure for computational tool developers to tackle big scientific challenges ...

OpenAire to support more technical e-Infrastructures with Open Research Data guidelines, publication and training ...

Exascale supercomputing

ISC High Performance keynote forecasts future role of HPC in weather and climage prediction ...

Crowd computing

Towards equal access to digital coins ...

Quantum computing

Large groups of photons on demand - an equivalent of photonic 'integrated circuit' ...

Protecting quantum computing networks against hacking threats ...

Sorting machine for atoms ...

Focus on Europe

HPC-Europa3 provides access to European HPC systems ...

Peter the Great Saint Petersburg Polytechnic University is first university to introduce computational computer code for Airbus ...

Middleware

Introducing Hazelcast Jet: a new lightweight, distributed data processing engine ...

Bright Computing announces strategic alliance with Curtiss-Wright ...

Hardware

NVIDIA powers new class of supercomputing workstations with breakthrough capabilities for design and engineering ...

Van Andel research institute optimises HPC pipeline to drive research discoveries and new drug therapies with end-to-end DDN solution ...

CoolIT Systems issued U.S. patent for modular heat-transfer solutions ...

ORNL researchers break data transfer efficiency record ...

Cray reports 2016 full year and fourth quarter financial results ...

Supermicro deploys 30,000+ MicroBlade servers to enable one of the world's highest Efficiency (1.06 PUE) data centres ...

Mellanox ships more than 100,000 cables for next generation 100 Gb/s networks ...

UMass Amherst boosts deep learning research with powerful new GPU cluster ...

Oak Ridge National Laboratory enhances data integrity and accessibility with Active Archive Solutions ...

Applications

ANSYS spurs pervasive engineering simulation with release 18 ...

Computing sciences students: Get your team together for the SC17 Student Cluster Competition in Denver ...

Latest Allinea update advances code optimization across platforms ...

Con Edison selects C3 IoT for Big Data and predictive analytics platform and applications ...

New algorithms may revolutionize drug discoveries - and our understanding of life ...

When data's deep, dark places need to be illuminated ...

Computer trained to predict which AML patients will go into remission and which will relapse ...

The Cloud

Cycle Computing collaborates with ANSYS on its Enterprise Cloud HPC offering ...

IBM launches "Digital - Nation Africa" and invests $70 million to bring digital skills to Africa with free, Watson-powered skills platform for 25 million people ...