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Hardware Acceleration of Computational Holography

Editat de Tomoyoshi Shimobaba, Tomoyoshi Ito
en Limba Engleză Hardback – 19 iul 2023
This book explains the hardware implementation of computational holography and hardware acceleration techniques, along with a number ofconcrete example source codes that enable fast computation. Computational holography includes computer-based holographictechnologies such as computer-generated hologram and digital holography, for which acceleration of wave-optics computation is highly desirable.This book describes hardware implementations on CPUs (Central Processing Units), GPUs (Graphics Processing Units) and FPGAs (Field ProgrammableGate Arrays).

This book is intended for readers involved in holography as well as anyone interested in hardware acceleration.
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Specificații

ISBN-13: 9789819919376
ISBN-10: 9819919371
Pagini: 368
Ilustrații: XII, 368 p. 157 illus., 81 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.57 kg
Ediția:1st ed. 2023
Editura: Springer Nature Singapore
Colecția Springer
Locul publicării:Singapore, Singapore

Cuprins

Basics of holography.- Basics of hardware.- Acceleration of holography using CPU and GPU.- Acceleration of holography using FPGA.



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Textul de pe ultima copertă

This book explains the hardware implementation of computational holography and hardware acceleration techniques, along with a number ofconcrete example source codes that enable fast computation. Computational holography includes computer-based holographictechnologies such as computer-generated hologram and digital holography,
for which acceleration of wave-optics computation is highly desirable.This book describes hardware implementations on CPUs (Central Processing Units), GPUs (Graphics Processing Units) and FPGAs (Field ProgrammableGate Arrays).

This book is intended for readers involved in holography as well as anyone interested in hardware acceleration.

Caracteristici

Introduces computational holography Explains algorithms of computational holography Discusses implementations on CPUs, GPUs and FPGAs