TeraScope: Distributed Visual Data Mining of Terascale Data Sets over Photonic Networks (2003)
| Venue: | Journal of Future Generation Computer Systems (FGCS), Elsevier Science Press |
| Citations: | 11 - 4 self |
BibTeX
@INPROCEEDINGS{Zhang03terascope:distributed,
author = {Chong (charles Zhang and Jason Leigh and Thomas A. Defanti and Marco Mazzucco and Robert Grossman},
title = {TeraScope: Distributed Visual Data Mining of Terascale Data Sets over Photonic Networks},
booktitle = {Journal of Future Generation Computer Systems (FGCS), Elsevier Science Press},
year = {2003},
pages = {935--943},
publisher = {Elsevier Science Press. 2003}
}
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Abstract
“Where the telescope ends, the microscope begins. Which of the two has the grander view? ”-Victor Hugo TeraScope is a framework and a suite of tools for interactively browsing and visualizing large terascale data sets. Unique to TeraScope is its utilization of the Optiputer paradigm to treat distributed computer clusters as a single giant computer, where the dedicated optical networks that connect the clusters serve as the computer’s system bus. TeraScope explores one aspect of the Optiputer architecture by employing a distributed pool of memory, called LambdaRAM, that serves as a massive data cache for supporting parallel data mining and visualization algorithms. 1
