Simplified novel look-up table method using compute unified device architecture

Abstract In this study, we have exploited the parallel nature of the computations involved in the process of digital holography using novel look-up table method. We utilize CUDA enabled GPU to accelerate each step of the digital holography, i.e. preparation of the principle fringe patterns, hologram...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Ali, Zulfiqar [verfasserIn] Kim, Hyun-Eui Han, Dongbiao Park, Jae-Hyeung Kim, Nam

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2011

Schlagwörter:	Computer generated holography 3D rendering holography 3D display digital holography parallel computing

Anmerkung:	© 3D Display Research Center and Springer-Verlag Berlin Heidelberg 2011

Übergeordnetes Werk:	Enthalten in: 3D Research - Berlin : Springer, 2010, 2(2011), 3 vom: 03. Nov.
Übergeordnetes Werk:	volume:2 ; year:2011 ; number:3 ; day:03 ; month:11

Links:	Volltext

DOI / URN:	10.1007/3DRes.03(2011)2

Katalog-ID:	SPR031327532

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allfields	10.1007/3DRes.03(2011)2 doi (DE-627)SPR031327532 (SPR)3DRes.03(2011)2-e DE-627 ger DE-627 rakwb eng Ali, Zulfiqar verfasserin aut Simplified novel look-up table method using compute unified device architecture 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © 3D Display Research Center and Springer-Verlag Berlin Heidelberg 2011 Abstract In this study, we have exploited the parallel nature of the computations involved in the process of digital holography using novel look-up table method. We utilize CUDA enabled GPU to accelerate each step of the digital holography, i.e. preparation of the principle fringe patterns, hologram synthesis by accessing and superimposing the appropriate principal fringe patterns and finally the optical reconstruction at various depths. The proposed method was tested for a simple 3D object consisting of many points located at different depths and compared to that of the CPU. Our simulation results confirm that the GPU implementation is much faster than that of the CPU. Computer generated holography (dpeaa)DE-He213 3D rendering (dpeaa)DE-He213 holography (dpeaa)DE-He213 3D display (dpeaa)DE-He213 digital holography (dpeaa)DE-He213 parallel computing (dpeaa)DE-He213 Kim, Hyun-Eui aut Han, Dongbiao aut Park, Jae-Hyeung aut Kim, Nam aut Enthalten in 3D Research Berlin : Springer, 2010 2(2011), 3 vom: 03. Nov. (DE-627)624823733 (DE-600)2550008-9 2092-6731 nnns volume:2 year:2011 number:3 day:03 month:11 https://dx.doi.org/10.1007/3DRes.03(2011)2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_120 GBV_ILN_266 GBV_ILN_281 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 AR 2 2011 3 03 11
spelling	10.1007/3DRes.03(2011)2 doi (DE-627)SPR031327532 (SPR)3DRes.03(2011)2-e DE-627 ger DE-627 rakwb eng Ali, Zulfiqar verfasserin aut Simplified novel look-up table method using compute unified device architecture 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © 3D Display Research Center and Springer-Verlag Berlin Heidelberg 2011 Abstract In this study, we have exploited the parallel nature of the computations involved in the process of digital holography using novel look-up table method. We utilize CUDA enabled GPU to accelerate each step of the digital holography, i.e. preparation of the principle fringe patterns, hologram synthesis by accessing and superimposing the appropriate principal fringe patterns and finally the optical reconstruction at various depths. The proposed method was tested for a simple 3D object consisting of many points located at different depths and compared to that of the CPU. Our simulation results confirm that the GPU implementation is much faster than that of the CPU. Computer generated holography (dpeaa)DE-He213 3D rendering (dpeaa)DE-He213 holography (dpeaa)DE-He213 3D display (dpeaa)DE-He213 digital holography (dpeaa)DE-He213 parallel computing (dpeaa)DE-He213 Kim, Hyun-Eui aut Han, Dongbiao aut Park, Jae-Hyeung aut Kim, Nam aut Enthalten in 3D Research Berlin : Springer, 2010 2(2011), 3 vom: 03. Nov. (DE-627)624823733 (DE-600)2550008-9 2092-6731 nnns volume:2 year:2011 number:3 day:03 month:11 https://dx.doi.org/10.1007/3DRes.03(2011)2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_120 GBV_ILN_266 GBV_ILN_281 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 AR 2 2011 3 03 11
allfields_unstemmed	10.1007/3DRes.03(2011)2 doi (DE-627)SPR031327532 (SPR)3DRes.03(2011)2-e DE-627 ger DE-627 rakwb eng Ali, Zulfiqar verfasserin aut Simplified novel look-up table method using compute unified device architecture 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © 3D Display Research Center and Springer-Verlag Berlin Heidelberg 2011 Abstract In this study, we have exploited the parallel nature of the computations involved in the process of digital holography using novel look-up table method. We utilize CUDA enabled GPU to accelerate each step of the digital holography, i.e. preparation of the principle fringe patterns, hologram synthesis by accessing and superimposing the appropriate principal fringe patterns and finally the optical reconstruction at various depths. The proposed method was tested for a simple 3D object consisting of many points located at different depths and compared to that of the CPU. Our simulation results confirm that the GPU implementation is much faster than that of the CPU. Computer generated holography (dpeaa)DE-He213 3D rendering (dpeaa)DE-He213 holography (dpeaa)DE-He213 3D display (dpeaa)DE-He213 digital holography (dpeaa)DE-He213 parallel computing (dpeaa)DE-He213 Kim, Hyun-Eui aut Han, Dongbiao aut Park, Jae-Hyeung aut Kim, Nam aut Enthalten in 3D Research Berlin : Springer, 2010 2(2011), 3 vom: 03. Nov. (DE-627)624823733 (DE-600)2550008-9 2092-6731 nnns volume:2 year:2011 number:3 day:03 month:11 https://dx.doi.org/10.1007/3DRes.03(2011)2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_120 GBV_ILN_266 GBV_ILN_281 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 AR 2 2011 3 03 11
allfieldsGer	10.1007/3DRes.03(2011)2 doi (DE-627)SPR031327532 (SPR)3DRes.03(2011)2-e DE-627 ger DE-627 rakwb eng Ali, Zulfiqar verfasserin aut Simplified novel look-up table method using compute unified device architecture 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © 3D Display Research Center and Springer-Verlag Berlin Heidelberg 2011 Abstract In this study, we have exploited the parallel nature of the computations involved in the process of digital holography using novel look-up table method. We utilize CUDA enabled GPU to accelerate each step of the digital holography, i.e. preparation of the principle fringe patterns, hologram synthesis by accessing and superimposing the appropriate principal fringe patterns and finally the optical reconstruction at various depths. The proposed method was tested for a simple 3D object consisting of many points located at different depths and compared to that of the CPU. Our simulation results confirm that the GPU implementation is much faster than that of the CPU. Computer generated holography (dpeaa)DE-He213 3D rendering (dpeaa)DE-He213 holography (dpeaa)DE-He213 3D display (dpeaa)DE-He213 digital holography (dpeaa)DE-He213 parallel computing (dpeaa)DE-He213 Kim, Hyun-Eui aut Han, Dongbiao aut Park, Jae-Hyeung aut Kim, Nam aut Enthalten in 3D Research Berlin : Springer, 2010 2(2011), 3 vom: 03. Nov. (DE-627)624823733 (DE-600)2550008-9 2092-6731 nnns volume:2 year:2011 number:3 day:03 month:11 https://dx.doi.org/10.1007/3DRes.03(2011)2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_120 GBV_ILN_266 GBV_ILN_281 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 AR 2 2011 3 03 11
allfieldsSound	10.1007/3DRes.03(2011)2 doi (DE-627)SPR031327532 (SPR)3DRes.03(2011)2-e DE-627 ger DE-627 rakwb eng Ali, Zulfiqar verfasserin aut Simplified novel look-up table method using compute unified device architecture 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © 3D Display Research Center and Springer-Verlag Berlin Heidelberg 2011 Abstract In this study, we have exploited the parallel nature of the computations involved in the process of digital holography using novel look-up table method. We utilize CUDA enabled GPU to accelerate each step of the digital holography, i.e. preparation of the principle fringe patterns, hologram synthesis by accessing and superimposing the appropriate principal fringe patterns and finally the optical reconstruction at various depths. The proposed method was tested for a simple 3D object consisting of many points located at different depths and compared to that of the CPU. Our simulation results confirm that the GPU implementation is much faster than that of the CPU. Computer generated holography (dpeaa)DE-He213 3D rendering (dpeaa)DE-He213 holography (dpeaa)DE-He213 3D display (dpeaa)DE-He213 digital holography (dpeaa)DE-He213 parallel computing (dpeaa)DE-He213 Kim, Hyun-Eui aut Han, Dongbiao aut Park, Jae-Hyeung aut Kim, Nam aut Enthalten in 3D Research Berlin : Springer, 2010 2(2011), 3 vom: 03. Nov. (DE-627)624823733 (DE-600)2550008-9 2092-6731 nnns volume:2 year:2011 number:3 day:03 month:11 https://dx.doi.org/10.1007/3DRes.03(2011)2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_120 GBV_ILN_266 GBV_ILN_281 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 AR 2 2011 3 03 11
language	English
source	Enthalten in 3D Research 2(2011), 3 vom: 03. Nov. volume:2 year:2011 number:3 day:03 month:11
sourceStr	Enthalten in 3D Research 2(2011), 3 vom: 03. Nov. volume:2 year:2011 number:3 day:03 month:11
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institution	findex.gbv.de
topic_facet	Computer generated holography 3D rendering holography 3D display digital holography parallel computing
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container_title	3D Research
authorswithroles_txt_mv	Ali, Zulfiqar @@aut@@ Kim, Hyun-Eui @@aut@@ Han, Dongbiao @@aut@@ Park, Jae-Hyeung @@aut@@ Kim, Nam @@aut@@
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author	Ali, Zulfiqar
spellingShingle	Ali, Zulfiqar misc Computer generated holography misc 3D rendering misc holography misc 3D display misc digital holography misc parallel computing Simplified novel look-up table method using compute unified device architecture
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topic_title	Simplified novel look-up table method using compute unified device architecture Computer generated holography (dpeaa)DE-He213 3D rendering (dpeaa)DE-He213 holography (dpeaa)DE-He213 3D display (dpeaa)DE-He213 digital holography (dpeaa)DE-He213 parallel computing (dpeaa)DE-He213
topic	misc Computer generated holography misc 3D rendering misc holography misc 3D display misc digital holography misc parallel computing
topic_unstemmed	misc Computer generated holography misc 3D rendering misc holography misc 3D display misc digital holography misc parallel computing
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title	Simplified novel look-up table method using compute unified device architecture
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title_sort	simplified novel look-up table method using compute unified device architecture
title_auth	Simplified novel look-up table method using compute unified device architecture
abstract	Abstract In this study, we have exploited the parallel nature of the computations involved in the process of digital holography using novel look-up table method. We utilize CUDA enabled GPU to accelerate each step of the digital holography, i.e. preparation of the principle fringe patterns, hologram synthesis by accessing and superimposing the appropriate principal fringe patterns and finally the optical reconstruction at various depths. The proposed method was tested for a simple 3D object consisting of many points located at different depths and compared to that of the CPU. Our simulation results confirm that the GPU implementation is much faster than that of the CPU. © 3D Display Research Center and Springer-Verlag Berlin Heidelberg 2011
abstractGer	Abstract In this study, we have exploited the parallel nature of the computations involved in the process of digital holography using novel look-up table method. We utilize CUDA enabled GPU to accelerate each step of the digital holography, i.e. preparation of the principle fringe patterns, hologram synthesis by accessing and superimposing the appropriate principal fringe patterns and finally the optical reconstruction at various depths. The proposed method was tested for a simple 3D object consisting of many points located at different depths and compared to that of the CPU. Our simulation results confirm that the GPU implementation is much faster than that of the CPU. © 3D Display Research Center and Springer-Verlag Berlin Heidelberg 2011
abstract_unstemmed	Abstract In this study, we have exploited the parallel nature of the computations involved in the process of digital holography using novel look-up table method. We utilize CUDA enabled GPU to accelerate each step of the digital holography, i.e. preparation of the principle fringe patterns, hologram synthesis by accessing and superimposing the appropriate principal fringe patterns and finally the optical reconstruction at various depths. The proposed method was tested for a simple 3D object consisting of many points located at different depths and compared to that of the CPU. Our simulation results confirm that the GPU implementation is much faster than that of the CPU. © 3D Display Research Center and Springer-Verlag Berlin Heidelberg 2011
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title_short	Simplified novel look-up table method using compute unified device architecture
url	https://dx.doi.org/10.1007/3DRes.03(2011)2
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author2	Kim, Hyun-Eui Han, Dongbiao Park, Jae-Hyeung Kim, Nam
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Simplified novel look-up table method using compute unified device architecture

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