Statistics – Computation
Scientific paper
May 1990
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1990stin...9211936d&link_type=abstract
Presented at a NASA Workshop on Astrophysical Information Systems, Moffett Field, CA, 23-25 May 1990
Statistics
Computation
Astrophysics, Computation, Data Storage, Information Systems, Software Engineering, Trends, Data Bases, Information Retrieval, Supercomputers
Scientific paper
It is easy to extrapolate current trends to see where technologies relating to information systems in astrophysics and other disciplines will be by the end of the decade. These technologies include mineaturization, multiprocessing, software technology, networking, databases, graphics, pattern computation, and interdisciplinary studies. It is easy to see what limits our current paradigms place on our thinking about technologies that will allow us to understand the laws governing very large systems about which we have large datasets. Three limiting paradigms are saving all the bits collected by instruments or generated by supercomputers; obtaining technology for information compression, storage and retrieval off the shelf; and the linear mode of innovation. We must extend these paradigms to meet our goals for information technology at the end of the decade.
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