Implementation of the two-point angular correlation function on a high-performance reconfigurable computer

Scientific Programming

Volumn 17, Issue 3, 2009, Pages 247-259

  Kindratenko, Volodymyr V ^a   Myers, Adam D ^a   Brunner, Robert J ^a  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

Angular correlation function; Reconfigurable computing

Indexed keywords

PARALLEL PROCESSING SYSTEMS; RECONFIGURABLE ARCHITECTURES;

ANGULAR CORRELATION FUNCTION; ANGULAR CORRELATIONS; CORRELATION FUNCTION; PARALLEL IMPLEMENTATIONS; PERFORMANCE; RECONFIGURABLE COMPUTER; RECONFIGURABLE COMPUTING; RECONFIGURABLE PROCESSORS; RECONFIGURABLE- COMPUTING; TWO-POINT;

DATA HANDLING;

EID: 70349134349     PISSN: 10589244     EISSN: None     Source Type: Journal    
DOI: 10.1155/2009/434735     Document Type: Article

References (23)

1. J. Abello and G. Cormode, Discrete Methods in Epidemiology: Dimacs Workshop, Data Mining and Epidemiology, American Mathematical Society, Boston, MA, 2004.
2. R. Brunner, V. Kindratenko and A. Myers, Developing and deploying advanced algorithms to novel supercomputing hardware, in: Proc. NASA Science Technology Conference (NSTC-07), Adelphi, MD, 2007.
3. S. Craven and P. Athanas, Examining the viability of FPGA supercomputing, EURASIP J. Embedded Syst. 1 (2007), 13.
4. B. Draper, J. Beveridge, A. Bohm, C. Ross and M. Chawathe, Accelerated image processing on FPGAs, IEEE Trans. Image Proces. 12(12) (2003), 1543-1551.
5. T. El-Ghazawi, E. El-Araby, M. Huang, K. Gaj, V. Kindratenko and D. Buell, The promise of high-performance reconfigurable computing, IEEE Computer 41(2) (2008), 78-85.
6. L. Feyen and J. Caers, Multiple-point geostatistics: a powerful tool to improve groundwater flow and transport predictions in multi-modal formations, in: Proc. Fifth European Conference on Geostatistics for Environmental Applications, Neuchâtel, Switzerland, 2004.
7. M.B. Gokhale and P.S. Graham, Reconfigurable Computing: Accelerating Computation with Field-Programmable Gate Arrays, Springer-Verlag, Dordrecht, 2005
8. V. Kindratenko, Code partitioning for reconfigurable highperformance computing: A case study, in: Proc. International Conference on Engineering of Reconfigurable Systems and Algorithms (ERSA-06), Las Vegas, NV, 2006.
9. V. Kindratenko and R. Brunner, Accelerating cosmological data analysis with FPGAs, in: Proc. IEEE Symposium on Field-Programmable Custom ComputingMachines, Napa, CA, 2009.
10. V. Kindratenko, R. Brunner and A. Myers, Dynamic loadbalancing on multi-FPGA systems: a case study, in: Proc. 3rd Annual Reconfigurable Systems Summer Institute (RSSI-07), Urbana, IL, 2007.
11. V. Kindratenko, R. Brunner and A. Myers, Mitrion-C application development on SGI Altix 350/RC100, in: Proc. IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM-07), Napa, CA, 2007.
12. V. Kindratenko and D. Pointer, A case study in porting a production scientific supercomputing application to a reconfigurable computer, in: Proc. IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM-06), Napa, CA, 2006.
13. D. Knuth, The Art of Computer Programming, Vol.3: Sorting and Searching, 3rd edn, Addison-Wesley, Reading, MA, 1997, pp. 409-426.
14. S.D. Landy and A.S. Szalay, Bias and variance of angular correlation functions, Astrophys. J. 412 (1993), 64-71.
15. D. Meixner, V. Kindratenko and D. Pointer, On using Simulink to program SRC-6 reconfigurable computer, in: Proc. Military and Aerospace Programmable Logic Device (MAPLD-06), Washington, DC, 2006.
16. A. Moore et al, Fast algorithms and efficient statistics: N-point correlation functions, in: Mining the Sky Proc. MPA/ESO/MPE Workshop, A.J. Banday, S. Zaroubi and M. Bartelmann, eds, Springer-Verlag, Heidelberg, 2001, pp. 71-82.
17. A.D. Myers, R.J. Brunner, G.T. Richards, R.C. Nichol, D.P. Schneider, D.E. Vanden Berk, R. Scranton, A.G. Gray and J. Brinkmann, First measurement of the clustering evolution of photometrically classified quasars, Astrophys. J. 638 (2006), 622-634.
18. P.J.E. Peebles, The Large Scale Structure of the Universe, Princeton University Press, Chichester, 1980.
19. SRC Computers Inc, SRC Systems and Servers Datasheet, Colorado Springs, CO, 2005.
20. SRC Computers Inc, SRC C Programming Environment v 2.1 Guide, Colorado Springs, CO, 2005.
21. K. Underwood, FPGAs vs. CPUs: Trends in peak floating point performance, in: Proc. 12th ACM/SIGDA International Symposium on Field Programmable Gate Arrays, Monterey, CA, 2004, pp. 171-180.
22. T. Wollinger, J. Guajardo and C. Paar, Security on FPGAs: State-of-the-art implementations and attacks, ACM Trans. Embed. Comput. Syst. 3 (2004), 534-574.
23. D.G. York et al, The sloan digital sky survey: Technical summary, Astronom. J. 120 (2000), 1579-1587.