HPSC -- High Performance Statistical Computing for Data Intensive Research

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Section: NGSA

Next Generation Statistical Analytics

This page should be done when I have time. A few ideas are leaved at here and it will happen someday.

``Today's Big Data, Tomorrow's Tiny Toys.''

``Be Bigger, Be Faster, Be Easier, and Be Greener.''

  • 30 years ago, we penciled down \sum_i x_i , \sum_i y_i , and \sum_i x_iy_i , on papers.
  • 20 years ago, we clicked calculators to perform simple linear regressions.
  • 10 years ago, we commanded computers to draw residual plots.
  • Currently, 2012, we utilize clusters to visualize large datasets.
  • 10 years later, we will tell smart phones to animate MCMC.
  • 20 years later, we may ask ``what is a smart phone?''
    

My silly dream last night was that "A" was on a special device which is a smart phone and referred to "A.worker" which were workers on clouds where I didn't know. Not necessary on one cloud, but all had R for statistical computing. All run the same code on different data with communication. I said to the phone "R plot A", then I received an animation in 3D performing MCMC simulation.


``All models are wrong but some models are useful.'' -- George Box

How about I say ``All data are wrong but some functions of data are useful.'' ``Is sufficient statistics a function of data?'' How about communicate with ``minimum sufficient statistics''? ``Isn't Statistician doing this for looo...ooong time?''

''Big Dream of Bigger than Big.'' No worry about problems of large memory and out-of-memory. Simply don't load all data in one machine. Ambitiously try smart phone.

No more parallel computing, but ``Read in distributed, Compute in distributed, Statistics in distributed, Output in distributed.''

Useful one-pass algorithm of statistics should be established for on-fly stream data analysis and in-situ experiments.

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Created: Oct 19 2011
Last Revised: Feb 13 2013, 12:20 (CDT Ames, IA, USA)
Maintained: Wei-Chen Chen
E-Mail: wccsnow @ gmail.com
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