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Primeur weekly 2018-02-12

Quantum computing

New controls scale quantum chips ...

Controlling quantum interactions in a single material ...

Light controls two-atom quantum computation ...

Focus on Europe

TANGO project releases the Beta version of #TANGOToolbox to facilitate the effort of coding when targeting various hardware architectures ...

Nominations open for PRACE Ada Lovelace Award for HPC 2018 ...

Optalysys and The Earlham Institute achieve over 90% energy savings in breakthrough project applying optical processing for DNA sequence alignment ...

Middleware

Sylabs emerges from stealth to bring Singularity container technology to enterprise performance computing ...

Dell EMC expands server capabilities for software-defined, edge and high-performance computing ...

Hardware

Virtual reality helps explore the GPS of the mind ...

HiPerGator is the number 3 most powerful computer at a U.S. public university ...

Supermicro expands edge computing and network appliance portfolio with new high density SoC solutions ...

Supermicro introduces Silicon Valley's first 3-Megawatt clean energy automated rack integration facility ...

One Stop Systems introduces highest bandwidth, 5th generation NVMe ion accelerator flash storage array ...

Applications

University of Illinois researcher recognized with ACM Fellowship for contributions to parallel programming ...

After the storm: Simulating and visualizing extreme weather with XSEDE ...

XSEDE's Maverick helps explore next generation solar cells and LEDs ...

Optimized solutions for treating bone fractures will soon be reality ...

UMass Amherst computer science experts in artificial intelligence join IBM's AI Horizons Network ...

AI computer vision breakthrough IDs poachers in less than half a second ...

University of Chicago astrophysicists settle cosmic debate on magnetism of planets and stars ...

Portland State University joins nationwide program to develop brain-inspired computing ...

The Cloud

Ampere launches to accelerate hyperscale Cloud computing innovations ...

Oracle Cloud growth driving aggressive global expansion ...

Leading Cloud providers join with NSF to support data science frontiers ...

Smartly containing the Cloud increases computing efficiency, according to first-of-its-kind study ...

Leading Cloud providers join with NSF to support data science frontiers

NSF's awards are paired with support from leading Cloud computing providers. Credit: NSF.7 Feb 2018 Alexandria - The National Science Foundation (NSF) is providing nearly $30 million in new funding for research in data science and engineering through its Critical Techniques, Technologies and Methodologies for Advancing Foundations and Applications of Big Data Sciences and Engineering (BIGDATA) programme.

NSF's awards are paired with support from Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure, which have each committed up to $3 million in Cloud resources for relevant BIGDATA projects over a three-year period, beginning with this year's awards. A key goal of this collaboration is to encourage research projects to focus on large-scale experimentation and scalability studies.

"NSF's participation with major Cloud providers is an innovative approach to combining resources to better support data science research", stated Jim Kurose, assistant director of NSF for Computer and Information Science and Engineering (CISE). "This type of collaboration enables fundamental research and spurs technology development and economic growth in areas of mutual interest to the participants, driving innovation for the long-term benefit of our nation."

The BIGDATA programme funds novel research in computer science, statistics, computational science and mathematics that seeks to advance the frontiers of data science. The programme also supports work on innovative applications that leverage data science advances to enhance knowledge in various domains, including the social and behavioral sciences, education, biology, physical sciences, and engineering.

Data used in research originate from a variety of disparate sources, including scientific instruments, social media, transactions, machine-generated information from the Internet of Things (IoT), administrative systems and large-scale simulations. BIGDATA-enabled innovations will provide new insights derived from the growing wealth of data in myriad fields, leading to improved problem-solving and real-time decision-making.

The new BIGDATA awards will benefit from the unique, new engagement between NSF and leading Cloud providers to foster innovation and provide a platform for computation, storage and analytics at large scale. This collaboration will specifically provide BIGDATA projects with cloud credits - enabling access to Cloud-based storage and computing.

NSF's collaboration with the technology industry through BIGDATA is vital, especially in the area of data science. In its first year, this collaboration is driving creative and principled approaches to address data management, modeling, and analysis of Big Data, and applying novel techniques to solve data-intensive domain science and engineering problems. Furthermore, NSF is actively seeking to expand this collaboration through a recently released Dear Colleague Letter .

The awards NSF is announcing are part of a portfolio of over $100 million in Big Data and data science research, education, and research infrastructure across the agency in Fiscal Year 2017. The 21 new BIGDATA awards support foundational elements of data science - the theories, techniques and methodologies that use big data to solve problems - as well as the innovative applications that are enabled by these foundational advances. Of these, eight will benefit from additional cloud credits and resources made possible by the new participation by Cloud providers.

Examples of this year's awards, including two that are receiving Cloud credits, are:

While predictive models are an important step in understanding complex systems, equally important is the ability of humans to interpret the results from such models. This project focuses on developing novel, scalable, statistical machine learning algorithms that can effectively guide human decision-making and discovery in biological systems. Leveraging the Cloud computing resources provided via the BIGDATA programme, and using Apache Spark, these approaches and methods will be implemented for massive datasets in genomics and beyond.

This project aims to develop scalable predictive analytics that can detect driver disengagement and provide alerts capable of reducing motor vehicle crashes. Utilizing Cloud computing resources provided via the BIGDATA programme, researchers will analyze the federal Strategic Highway Research Program 2 (SHRP 2) dataset - a publicly available repository of driving patterns consisting of two petabytes of heterogeneous data spanning over 100 variables - to carry out instance-based learning and heterogeneous network mining, along with a novel distributed computing infrastructure.

Responsible data management, including fairness - and the related concepts of representativeness and diversity, transparency and accountability, and data protection - are often only considered in the final step of data analysis, such as data mining and machine learning. The objective of this project is to develop the conceptual frameworks and algorithmic techniques to support responsible data management through all stages of the data lifecycle, from data discovery and acquisition to cleaning, integration, querying and analysis.

Source: National Science Foundation

Back to Table of contents

Primeur weekly 2018-02-12

Quantum computing

New controls scale quantum chips ...

Controlling quantum interactions in a single material ...

Light controls two-atom quantum computation ...

Focus on Europe

TANGO project releases the Beta version of #TANGOToolbox to facilitate the effort of coding when targeting various hardware architectures ...

Nominations open for PRACE Ada Lovelace Award for HPC 2018 ...

Optalysys and The Earlham Institute achieve over 90% energy savings in breakthrough project applying optical processing for DNA sequence alignment ...

Middleware

Sylabs emerges from stealth to bring Singularity container technology to enterprise performance computing ...

Dell EMC expands server capabilities for software-defined, edge and high-performance computing ...

Hardware

Virtual reality helps explore the GPS of the mind ...

HiPerGator is the number 3 most powerful computer at a U.S. public university ...

Supermicro expands edge computing and network appliance portfolio with new high density SoC solutions ...

Supermicro introduces Silicon Valley's first 3-Megawatt clean energy automated rack integration facility ...

One Stop Systems introduces highest bandwidth, 5th generation NVMe ion accelerator flash storage array ...

Applications

University of Illinois researcher recognized with ACM Fellowship for contributions to parallel programming ...

After the storm: Simulating and visualizing extreme weather with XSEDE ...

XSEDE's Maverick helps explore next generation solar cells and LEDs ...

Optimized solutions for treating bone fractures will soon be reality ...

UMass Amherst computer science experts in artificial intelligence join IBM's AI Horizons Network ...

AI computer vision breakthrough IDs poachers in less than half a second ...

University of Chicago astrophysicists settle cosmic debate on magnetism of planets and stars ...

Portland State University joins nationwide program to develop brain-inspired computing ...

The Cloud

Ampere launches to accelerate hyperscale Cloud computing innovations ...

Oracle Cloud growth driving aggressive global expansion ...

Leading Cloud providers join with NSF to support data science frontiers ...

Smartly containing the Cloud increases computing efficiency, according to first-of-its-kind study ...