Big Data @Rensselaer
The Rensselaer IDEA: Harnessing the Power of Data to Change the World
Rensselaer Polytechnic Institute today announced a new university-wide initiative to tackle the challenges and opportunities of Big Data. The new Rensselaer Institute for Data Exploration and Applications (IDEA) brings together and fortifies the wealth of data science, high performance computing, predictive analytics, data visualization, and cognitive computing research at Rensselaer, the nation’s oldest technological research university.
GNS Healthcare Expands Membership at Rensselaer Polytechnic Institute Supercomputing Center To Advance Big Data Healthcare Solutions
Leading “big data” analytics firm GNS Healthcare has signed a multi-year agreement to extend and expand its membership with the Computational Center for Nanotechnology Innovations (CCNI) at Rensselaer Polytechnic Institute. The agreement enables GNS to continue and grow its use of CCNI’s massively parallel computational resources to directly support its research and operations.
NYSERDA Awards $1.8 Million to Rensselaer Polytechnic Institute To Boost Efficiency of Supercomputing Center
The New York State Energy Research and Development Authority (NYSERDA) today announced $1.8 million in funding to Rensselaer Polytechnic Institute for critical upgrades to the electrical and mechanical infrastructure of the university’s supercomputing center, the Computational Center for Nanotechnology Innovations (CCNI). NYSERDA and Rensselaer officials met at the supercomputing center today to announce the funding.
These upgrades to CCNI’s power and cooling infrastructure support the operation of the center’s high performance computers. Rensselaer recently transitioned its supercomputing research activities to a powerful IBM Blue Gene/Q supercomputer system, which is four times faster and uses half the amount of energy as its predecessor.
Rensselaer Polytechnic Institute and Lawrence Livermore Scientists Set a New Simulation Speed Record on the Sequoia Supercomputer
Computer scientists at Lawrence Livermore National Laboratory (LLNL) and Rensselaer Polytechnic Institute have set a high performance computing speed record that opens the way to the scientific exploration of complex planetary-scale systems. News Release
First Meeting of New Research Data Alliance March 18 in Sweden Features Leading ‘Big Data’ Experts and Others Working To Make Research Data Easier To Share
Many of the world’s leading experts on “Big Data” and related fields met in Sweden March 18 for the first plenary session of the new international Research Data Alliance (RDA) – an interdisciplinary organization whose goal is to accelerate data-driven innovation through research data sharing and exchange. U.S. involvement was led by Rensselaer Polytechnic Institute Computer Science Professor Francine Berman and Professor Beth A. Plale, of the School of Informatics and Computing at Indiana University.
NSF-Supported Research Data Alliance/U.S. Collaborates with International Partners to Accelerate Data Sharing
The National Science Foundation today awarded a $2.5-million grant to Rensselaer Polytechnic Institute to enable its participation in a new international organization that will accelerate research data sharing among scientists around the globe.
World Wide Web Expert Jim Hendler Receives Inaugural Strata "Big Data" Award
Jim Hendler, head of the Department of Computer Science and senior constellation professor in the Tetherless World Constellation at Rensselaer, has been honored with an inaugural Strata Data Innovation Award, given to individuals who have made significant innovations in the data field.
Scaling Up Success in High-Performance Computing at Rensselaer Polytechnic Institute
New $2.6 Million Study Uses Video Cards to Bring Effective, Inexpensive Supercomputing to Hospitals for Safer CT Scans
Researchers at Rensselaer Polytechnic Institute seek to harness the power of these computer graphics cards to solve one of the world’s most pressing health care technology challenges: radiation exposure from X-ray and CT imaging scans.