Details

Title

FPGA-based bandwidth selection for kernel density estimation using high level synthesis approach

Journal title

Bulletin of the Polish Academy of Sciences: Technical Sciences

Yearbook

2016

Numer

No 4 December

Publication authors

Divisions of PAS

Nauki Techniczne

Publisher

Polish Academy of Sciences

Date

2016

Identifier

ISSN 0239-7528, eISSN 2300-1917

References

Ferlin (2011), a high - performance reconfigurable parallel architecture based on the dataflow model of High Performance Systems Architecture, Int J, 3, 41. ; Grobelna (null), Design and verification of real - life processes with application of Petri nets IEEE Transactions on Systems , Man and http dx doi org, Cybernetics, 99, doi.org/10.1109/TSMC.2016.2531673(2016) ; Jones (1996), A brief survey of bandwidth selection for density estimation of the, Journal American Statistical Association, 433. ; Sawerwain (2010), GPGPU based simulations for one and two dimensional quantum walks th Conference, Computer Networks, 17, 29, doi.org/10.1007/978-3-642-13861-4_3 ; Chacón (2011), Unconstrained pilot selectors for smoothed cross validation, Australian New Zealand Journal of Statistics, 53. ; Taherkhani (2010), Implementation of non - pipelined and pipelined data encryption standard ( DES ) using Xilinx Virtex - FPGA technology th International Conference on Computer and Information Technology, IEEE, 10. ; Andrzejewski (2013), Graphics processing units in acceleration of bandwidth selection for kernel density estimation, Int J Appl Math Comput Sci, 23, 869, doi.org/10.2478/amcs-2013-0065 ; Daili (2013), Remez algorithm applied to the best uniform polynomial approximations, Gen Math Notes, 17, 16. ; Kulczycki (2010), A complete gradient clustering algorithm formed with kernel estimators, Int J Appl Math Comput Sci, 20, 123, doi.org/10.2478/v10006-010-0009-3 ; Bachrach (2012), Chisel : constructing hardware in a scala embedded language, Design Automation Conference IEEE, 1212. ; Fahmy (2013), Architecture for real - time nonparametric probability density function estimation IEEE Transactions on Very Large Scale Integration, VLSI Systems, 21, 910, doi.org/10.1109/TVLSI.2012.2201187 ; Chacón (2015), Efficient recursive algorithms for functionals based on higher order derivatives of the multivariate Gaussian density and, Statistics Computing, 25, 959, doi.org/10.1007/s11222-014-9465-1 ; Walther (1971), A unified algorithm for elementary functions of Spring Joint Computer Conference, Proc, 379. ; Spiechowicz (2015), GPU accelerated Monte Carlo simulation of Brownian motors dynamics with CUDA, Computer Physics Communications, 191. ; Lei (2013), FPGA implementation of an exact dot product and its application in variableprecision floating - point arithmetic, Supercomput, 64, 580, doi.org/10.1007/s11227-012-0860-0 ; Wyrwoł (2013), Decomposition of the fuzzy inference system for implementation in the FPGA structure, Int J Appl Math Comput Sci, 23, 473, doi.org/10.2478/amcs-2013-0036 ; Remez (1934), Sur la détermination des polynômes d approximation de degré donnée in, Comm Soc Math Kharkov, 10, 41. ; Pułka (2011), An efficient hardware implementation of smith - waterman algorithm based on the incremental approach of and Telecommunications, International Journal Electronics, 57, 489.

DOI

10.1515/bpasts-2016-0091

×