Hardware Acceleration Of Computational Holography
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Hardware Acceleration of Computational Holography
Author: Tomoyoshi Shimobaba
language: en
Publisher: Springer Nature
Release Date: 2023-07-17
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.
Quantum Field Theory
Author: Gordon Walter Semenoff
language: en
Publisher: Springer Nature
Release Date: 2023-11-14
This book is a pedagogical introduction to quantum field theory, suitable for a students’ first exposure to the subject. It assumes a minimal amount of technical background and it is intended to be accessible to a wide audience including students of theoretical and experimental high energy physics, condensed matter, optical, atomic, nuclear and gravitational physics and astrophysics. It includes a thorough development of second quantization and the field theoretic approach to nonrelativistic many-body physics as a step in developing a broad-based working knowledge of the basic aspects of quantum field theory. It presents a logical and systematic first principles development of relativistic field theory and of functional techniques and perturbation theory with Feynman diagrams, renormalization, and basic computations in quantum electrodynamics.
Computer Applications
This two-volume set, CCIS 2274 and CCIS 2275, constitutes the refereed proceedings of the 39th National Conference on China Computer Federation, CCF NCCA 2024, held in Harbin, China, during July 15–18, 2024. The 48 full papers presented here were carefully reviewed and selected from 238 submissions. These papers are organized in the following topical sections: Part I: Artificial Intelligence and Applications; Data Science and Technology. Part II: Pattern Recognition & Machine Learning; Network Communication and Security; Frontier and Comprehensive Applications; Data Science and Technology.