SCHEDULE: NOV 10-16, 2012
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Optimizing the Computation of N-Point Correlations on Large-Scale Astronomical Data
SESSION: Cosmology Applications
EVENT TYPE: Papers
TIME: 11:00AM - 11:30AM
SESSION CHAIR: Subhash Saini
AUTHOR(S):William B. March, Kenneth Czechowski, Marat Dukhan, Thomas Benson, Dongryeol Lee, Andrew J. Connolly, Richard Vuduc, Edmond Chow, Alexander G. Gray
ROOM:255-EF
ABSTRACT:
The n-point correlation functions (npcf) are powerful statistics that are widely used for data analyses in astronomy and other fields. These statistics have played a crucial role in fundamental physical breakthroughs, including the discovery of dark energy. Unfortunately, directly computing the npcf at a single value requires $\bigO{N^n}$ time for $N$ points and values of $n$ of 2, 3, 4, or even larger.
Astronomical data sets can contain billions of points, and the next generation of surveys will generate terabytes of data per night. To meet these computational demands, we present a highly-tuned npcf computation code that show an order-of-magnitude speedup over current state-of-the-art. This enables a much larger 3-point correlation computation on the galaxy distribution than was previously possible.
We show a detailed performance evaluation on many different architectures.
Chair/Author Details:
Subhash Saini (Chair) - NASA Ames Research Center
William B. March - Georgia Institute of Technology
Kenneth Czechowski - Georgia Institute of Technology
Marat Dukhan - Georgia Institute of Technology
Thomas Benson - Georgia Institute of Technology
Dongryeol Lee - Georgia Institute of Technology
Andrew J. Connolly - University of Washington
Richard Vuduc - Georgia Institute of Technology
Edmond Chow - Georgia Institute of Technology
Alexander G. Gray - Georgia Institute of Technology
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Optimizing the Computation of N-Point Correlations on Large-Scale Astronomical Data
SESSION: Cosmology Applications
EVENT TYPE:
TIME: 11:00AM - 11:30AM
SESSION CHAIR: Subhash Saini
AUTHOR(S):William B. March, Kenneth Czechowski, Marat Dukhan, Thomas Benson, Dongryeol Lee, Andrew J. Connolly, Richard Vuduc, Edmond Chow, Alexander G. Gray
ROOM:255-EF
ABSTRACT:
The n-point correlation functions (npcf) are powerful statistics that are widely used for data analyses in astronomy and other fields. These statistics have played a crucial role in fundamental physical breakthroughs, including the discovery of dark energy. Unfortunately, directly computing the npcf at a single value requires $\bigO{N^n}$ time for $N$ points and values of $n$ of 2, 3, 4, or even larger.
Astronomical data sets can contain billions of points, and the next generation of surveys will generate terabytes of data per night. To meet these computational demands, we present a highly-tuned npcf computation code that show an order-of-magnitude speedup over current state-of-the-art. This enables a much larger 3-point correlation computation on the galaxy distribution than was previously possible.
We show a detailed performance evaluation on many different architectures.
Chair/Author Details:
Subhash Saini (Chair) - NASA Ames Research Center
William B. March - Georgia Institute of Technology
Kenneth Czechowski - Georgia Institute of Technology
Marat Dukhan - Georgia Institute of Technology
Thomas Benson - Georgia Institute of Technology
Dongryeol Lee - Georgia Institute of Technology
Andrew J. Connolly - University of Washington
Richard Vuduc - Georgia Institute of Technology
Edmond Chow - Georgia Institute of Technology
Alexander G. Gray - Georgia Institute of Technology
Click here to download .ics calendar file