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Primeur weekly 2012-10-08

The Cloud

ISC Cloud’12 shared new evolution images from HPC and big data in the Cloud ...

Bright Computing to present data aware Cloud bursting to the SLURM User Group ...

Oracle unveils expanded Oracle Cloud Services portfolio ...

Oracle extends Oracle Communications Billing and Revenue Management product family with innovative Oracle Communications Elastic Charging Engine ...

Oracle Enterprise Manager 12c introduces new tools and programmes for partners ...

Fujitsu Cloud solution bolsters Ritsumeikan Asia Pacific University's administrative information system ...

Lending Club selects Oracle ERP Cloud Service to help increase insight and efficiencies ...

Customers live on Oracle Fusion Human Capital Management ...

Oracle continues to extend industry's no. 1 business innovation platform for the enterprise and the Cloud ...

Kwality Dairy selects IBM Cloud to drive supply chain efficiencies ...

Oracle announces ISV integration with Oracle Sales and Marketing Cloud Service ...

Oracle unveils new partner Cloud programmes at Oracle OpenWorld 2012 ...

Fujitsu Cloud solution enhances Kansai University's educational research system platform ...

HP advances software-defined networks with integrated infrastructure, controller and application solutions ...

Oracle announces Oracle Solaris 11.1 at Oracle OpenWorld ...

VMware simplifies compliance for business-critical applications in the Cloud ...

Desktop Grids

OProject@Home has been launched ...

EuroFlash

Altair's latest Compute Manager offers built-in 3D and 2D visualization of high-performance computing simulations ...

Green Brain project to create an autonomous flying robot with a honey bee brain ...

Hi-fi single photons ...

USFlash

Indiana University develops tool to improve NASA polar ice mission ...

Launch of the USA's fastest Genomic Supercomputing Platform reduces cancer genome analysis from months to seconds - One patient every 47 seconds ...

South Australian Research Facility unleashes the Tizard supercomputer ...

Mellanox InfiniBand selected by Fujitsu to accelerate the Australian National University supercomputer ...

Oracle announces Oracle Exadata X3 Database In-Memory Machine ...

Virginia Tech to tackle the Big Data challenges of next-generation sequencing with HokieSpeed ...

Iowa State researchers developing Big Data toolbox to help genome researchers ...

IBM completes acquisition of Texas Memory Systems ...

Brown University awarded $1.5 million for new Big Data tools ...

Cognitech Inc. announces release of industry's fastest mobile and tower supercomputing Forensic Video Workstations ...

Dell Smart Grid Data Management Solution enables utility companies to improve efficiency ...

New Zealand Freight Service provider adopts IBM PureSystems for IT consolidation ...

IBM boosts security, Cloud and analytics capabilities with new Power systems, storage and mainframe technologies ...

Sandia builds Android-based network to study cyber disruptions ...

Sandia gains national recognition for sustainable energy management ...

NSF announces interagency progress on administration's Big Data initiative ...

National Science Foundation awards Rutgers $1.4 million to help create ways to analyze Big Data ...

NSF announces interagency progress on administration's Big Data initiative

3 Oct 2012 Washington D.C. - The US National Science Foundation (NSF), with support from the National Institutes of Health (NIH), has granted nearly $15 million in new Big Data fundamental research projects. These awards aim to develop new tools and methods to extract and use knowledge from collections of large data sets to accelerate progress in science and engineering research and innovation. These grants were made in response to a joint NSF-NIH call for proposals issued in conjunction with the March 2012 Big Data Research and Development Initiative launch: NSF Leads Federal Efforts in Big Data.

"I am delighted to provide such a positive progress report just six months after fellow federal agency heads joined the White House in launching the Big Data Initiative", stated NSF Director Subra Suresh. "By funding the fundamental research to enable new types of collaborations - multi-disciplinary teams and communities - and with the start of an exciting competition, today we are realizing plans to advance the foundational science and engineering of Big Data, fortifying U.S. competitiveness for decades to come."

"To get the most value from the massive biological data sets we are now able to collect, we need better ways of managing and analyzing the information they contain", stated NIH Director Francis S. Collins. "The new awards that NIH is funding will help address these technological challenges - and ultimately help accelerate research to improve health - by developing methods for extracting important, biomedically relevant information from large amounts of complex data."

The eight projects announced today run the gamut of scientific techniques for big data management, new data analytic approaches, and e-science collaboration environments with possible future applications in a variety of fields, such as physics, economics and medicine.

"Data represents a transformative new currency for science, engineering, and education", stated Farnam Jahanian, assistant director for NSF's Directorate for Computer and Information Science and Engineering. "By advancing the techniques and technologies for data management and knowledge extraction, these new research awards help to realize the enormous opportunity to capitalize on the transformative potential of data."

NSF, along with NASA and the Department of Energy, also announced the start of an idea-generating challenge series, opening additional avenues for innovation in seizing the opportunities afforded by Big Data science and engineering. The competition will be run by the NASA Tournament Lab (NTL), a collaboration between Harvard University and TopCoder, a competitive community of digital creators.

The NTL platform and process allows U.S. government agencies to conduct high risk/high reward challenges in an open and transparent environment with predictable cost, measurable outcomes-based results and the potential to move quickly into unanticipated directions and new areas of software technology. Registration is open through October 13, 2012, for the first of four idea generation competitions in the series. Full competition details and registration information is available at the Ideation Challenge Phase website.

"Big Data is characterized not only by the enormous volume or the velocity of its generation, but also by the heterogeneity, diversity, and complexity of the data", stated Suzi Iacono, co-chair of the interagency Big Data Senior Steering Group, a part of the Networking and Information Technology Research and Development program and senior science advisor at NSF. "There are enormous opportunities to extract knowledge from these large-scale, diverse data sets, and to provide powerful new approaches to drive discovery and decision-making, and to make increasingly accurate predictions. We're excited about the awards we are making today and to see what the idea generation competition will yield."

At a Tech America event on Capitol Hill, Suzi Iacono announced the award recipients:

  • Mid-Scale: DCM: Collaborative Research: Eliminating the Data Ingestion Bottleneck in Big-Data Applications, Rutgers University, Martin Farach-Colton; Stony Brook University, Michael Bender

Big-data practice suggests that there is a trade-off between the speed of data ingestion, the ability to answer queries quickly (e.g., via indexing), and the freshness of data. This tradeoff has manifestations in the design of all types of storage systems. In this project the principal investigators show that this is not a fundamental tradeoff, but rather a tradeoff imposed by the choice of data structure. They depart from the use of traditional indexing methodologies to build storage systems that maintain indexing 200 times faster in databases with billions of entries.

  • Mid-Scale: ESCE: DCM: Collaborative Research: DataBridge: A Sociometric System for Long-Tail Science Data Collections, University of North Carolina at Chapel Hill, Arcot Rajasekar; Harvard University, Gary King; North Carolina Agriculture & Technical State University, Justin Zhan

The sheer volume and diversity of data present a new set of challenges in locating all of the data relevant to a particular line of scientific research. Taking full advantage of the unique data in the "long-tail of science" requires new tools specifically created to assist scientists in their search for relevant data sets. DataBridge supports advances in science and engineering by directly enabling and improving discovery of relevant scientific data across large, distributed and diverse collections using socio-metric networks. The system will also provide an easy means of publishing data through the DataBridge, and incentivize data producers to do so by enhancing collaboration and data-oriented networking.

  • Mid-Scale: DCM: A Formal Foundation for Big Data Management, University of Washington, Dan Suciu

This project explores the foundations of big data management with the ultimate goal of significantly improving the productivity in Big Data analytics by accelerating data exploration. It will develop open source software to express and optimize ad hoc data analytics. The results of this project will make it easier for domain experts to conduct complex data analysis on Big Data and on large computer clusters.

  • Mid-Scale: DA: Analytical Approaches to Massive Data Computation with Applications to Genomics, Brown University, Eli Upfal

The goal of this project is to design and test mathematically well-founded algorithmic and statistical techniques for analyzing large scale, heterogeneous and so called noisy data. This project is motivated by the challenges in analyzing molecular biology data. The work will be tested on extensive cancer genome data, contributing to better health and new health information technologies, areas of national priority.

  • Mid-Scale: DA: Distribution-based Machine Learning for High-dimensional Datasets, Carnegie Mellon University, Aarti Singh

The project aims to develop new statistical and algorithmic approaches to natural generalizations of a class of standard machine learning problems. The resulting novel machine learning approaches are expected to benefit other scientific fields in which data points can be naturally modeled by sets of distributions, such as physics, psychology, economics, epidemiology, medicine and social network-analysis.

  • Mid-Scale: DA: Collaborative Research: Genomes Galore, Core Techniques, Libraries, and Domain Specific Languages for High-Throughput DNA Sequencing, Iowa State University, Srinivas Aluru; Stanford University, Oyekunie Olukotun; Virginia Polytechnic University, Wuchun Feng

The goal of the project is to develop core techniques and software libraries to enable scalable, efficient, high-performance computing solutions for high-throughput DNA sequencing, also known as next-generation sequencing. The research will be conducted in the context of challenging problems in human genetics and metagenomics, in collaboration with domain specialists.

  • Mid-Scale: DA: Collaborative Research: Big Tensor Mining: Theory, Scalable Algorithms and Applications, Carnegie Mellon University, Christos Faloutsos; University of Minnesota, Twin Cities, Nikolaos Sidiropoulos

The objective of this project is to develop theory and algorithms to tackle the complexity of language processing, and to develop methods that approximate how the human brain works in processing language. The research also promises better algorithms for search engines, new approaches to understanding brain activity, and better recommendation systems for retailers.

  • Mid-Scale: ESCE: Collaborative Research: Discovery and Social Analytics for Large-Scale Scientific Literature, Rutgers University, Paul Kantor; Cornell University, Thorsten Joachims; Princeton University, David Biei
This project will focus on the problem of bringing massive amounts of data down to the human scale by investigating the individual and social patterns that relate to how text repositories are actually accessed and used. It will improve the accuracy and relevance of complex scientific literature searches.
Source: National Science Foundation

Back to Table of contents

Primeur weekly 2012-10-08

The Cloud

ISC Cloud’12 shared new evolution images from HPC and big data in the Cloud ...

Bright Computing to present data aware Cloud bursting to the SLURM User Group ...

Oracle unveils expanded Oracle Cloud Services portfolio ...

Oracle extends Oracle Communications Billing and Revenue Management product family with innovative Oracle Communications Elastic Charging Engine ...

Oracle Enterprise Manager 12c introduces new tools and programmes for partners ...

Fujitsu Cloud solution bolsters Ritsumeikan Asia Pacific University's administrative information system ...

Lending Club selects Oracle ERP Cloud Service to help increase insight and efficiencies ...

Customers live on Oracle Fusion Human Capital Management ...

Oracle continues to extend industry's no. 1 business innovation platform for the enterprise and the Cloud ...

Kwality Dairy selects IBM Cloud to drive supply chain efficiencies ...

Oracle announces ISV integration with Oracle Sales and Marketing Cloud Service ...

Oracle unveils new partner Cloud programmes at Oracle OpenWorld 2012 ...

Fujitsu Cloud solution enhances Kansai University's educational research system platform ...

HP advances software-defined networks with integrated infrastructure, controller and application solutions ...

Oracle announces Oracle Solaris 11.1 at Oracle OpenWorld ...

VMware simplifies compliance for business-critical applications in the Cloud ...

Desktop Grids

OProject@Home has been launched ...

EuroFlash

Altair's latest Compute Manager offers built-in 3D and 2D visualization of high-performance computing simulations ...

Green Brain project to create an autonomous flying robot with a honey bee brain ...

Hi-fi single photons ...

USFlash

Indiana University develops tool to improve NASA polar ice mission ...

Launch of the USA's fastest Genomic Supercomputing Platform reduces cancer genome analysis from months to seconds - One patient every 47 seconds ...

South Australian Research Facility unleashes the Tizard supercomputer ...

Mellanox InfiniBand selected by Fujitsu to accelerate the Australian National University supercomputer ...

Oracle announces Oracle Exadata X3 Database In-Memory Machine ...

Virginia Tech to tackle the Big Data challenges of next-generation sequencing with HokieSpeed ...

Iowa State researchers developing Big Data toolbox to help genome researchers ...

IBM completes acquisition of Texas Memory Systems ...

Brown University awarded $1.5 million for new Big Data tools ...

Cognitech Inc. announces release of industry's fastest mobile and tower supercomputing Forensic Video Workstations ...

Dell Smart Grid Data Management Solution enables utility companies to improve efficiency ...

New Zealand Freight Service provider adopts IBM PureSystems for IT consolidation ...

IBM boosts security, Cloud and analytics capabilities with new Power systems, storage and mainframe technologies ...

Sandia builds Android-based network to study cyber disruptions ...

Sandia gains national recognition for sustainable energy management ...

NSF announces interagency progress on administration's Big Data initiative ...

National Science Foundation awards Rutgers $1.4 million to help create ways to analyze Big Data ...