FlashLite: A High Performance Machine for Data Intensive Science (2014–2015)

Abstract:
The amount of data gathered by sensor networks and new instruments is rising exponentially, making it increasingly difficult to process it with conventional supercomputers. This proposal builds a high performance computer focussed on data intensive science.
Grant type:
ARC Linkage Infrastructure, Equipment and Facilities
Researchers:
  • Director, Research Compt Cntr
    Research Computing Centre
    Professor
    School of Electrical Engineering and Computer Science
    Faculty of Engineering, Architecture and Information Technology
  • ARC Laureate Fellow & GL
    Australian Institute for Bioengineering and Nanotechnology
    ARC Laureate Fellow
    School of Chemistry and Molecular Biosciences
    Faculty of Science
Funded by:
Australian Research Council