The Global Research Platform (GRP)

David  Reese
TrackTrack 1 Europaea Room
DescriptionPlaceThe presentation will be two parts; an update on the Pacific Research Platform (PRP) and the current status of the developing Global Research Platform (GRP).
The Global Research Platform (GRP) is a concept that has grown out of the highly successful NSF funded Pacific Research Platform (PRP).  The PRP has grown from the concept outlined in the National Science Foundation (NSF) proposal to include partners in Australia, Korea, Japan and the Netherlands along with many more participants throughout the United States. The concept motivating the GRP is to extend to many additional international sites the capabilities and functionality required to support the PRP to a broader international audience through a collaboration of open exchange points and national and regional research and education networks. The GRP welcomes participation of any organization that would like join this global cooperative partnership.
Research in data-intensive fields is increasingly multi-investigator, multi- institutional, depending on ever more rapid access to ultra-large heterogeneous and widely distributed resources, including datasets, high performance networks, compute facilities, storage, instruments and sensors. The PRP has been established with funding from the NSF as a multi-institutional extensible deployment that establishes a science-driven high-capacity data-centric “freeway system.” The PRP spans all 10 campuses of the University of California, as well as the major California private research universities, four supercomputer centers, and several universities and facilities outside California, including several international organizations. Fifteen multi-campus data-intensive application teams act as drivers of the PRP, providing on-going requirements definitions and related feedback to the technical design and operations staff over the planned five years of the PRP project. These distributed collaboration application areas include particle physics, astronomy/astrophysics, earth sciences, biomedicine, and scalable multimedia, scientific visualization, and other research domains, providing models for many other applicationsholder

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