Parallel processing
A deep dive into the realm of parallel processing reveals the essential concepts and techniques that enhance computational efficiency and performance. This category encompasses resources that cater to both students and professionals, featuring in-depth analyses, cutting-edge research, and practical applications that highlight the importance of simultaneous processing in modern computing. Perfect for those looking to master the intricacies of computer architecture and logical design.
Terraform: Up and Running: Writing Infrastructure as Code
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Observability Engineering: Achieving Production Excellence
George Miranda, Charity Majors, Liz Fong-Jones
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Parallel and High Performance Programming with Python: Unlock parallel and concurrent programming in Python using multithreading, CUDA, Pytorch and Dask.
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Monolith to Microservices: Evolutionary Patterns to Transform Your Monolith
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Programming Rust: Fast, Safe Systems Development
Leonora F. S. Tindall, Jason Orendorff, Jim Blandy
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Specifying Systems: The TLA+ Language and Tools for Hardware and Software Engineers: The TLA+ Language and Tools for Hardware and Software Engineers
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Functional and Concurrent Programming: Core Concepts and Features
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Programming Massively Parallel Processors: A Hands-on Approach
Izzat El Hajj, Wen-Mei W. Hwu, David B. Kirk
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Cuda by Example: An Introduction to General-Purpose Gpu Programming
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Specifying Systems: The TLA+ Language and Tools for Hardware and Software Engineers: The TLA+ Language and Tools for Hardware and Software Engineers
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Python Parallel Programming Cookbook
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Programming Models for Parallel Computing
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Mastering C# Concurrency
Andrew Koryavchenko, Eugene Agafonov
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Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA
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Formal and Adaptive Methods for Automation of Parallel Programs Construction: Emerging Research and Opportunities
Anatoliy Doroshenko, Olena Yatsenko
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Formal and Adaptive Methods for Automation of Parallel Programs Construction: Emerging Research and Opportunities
Anatoliy Doroshenko, Olena Yatsenko
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iPhone 6s Plus: The Ultimate Guide to Revolutionizing Your iPhone Mobile
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Multicore and GPU Programming: An Integrated Approach
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Implementing Parallel and Distributed Systems
M. B. Ghaznavi-Ghoushchi, Alireza Poshtkohi
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Rust In Practice: A Programmers Guide to Build Rust Programs, Test Applications and Create Cargo Packages
Ralph J, Rustacean Team, B. Anderson
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Practical Rust 1.x Cookbook: 100+ Solutions across Command Line, CI/CD, Kubernetes, Networking, Code Performance and Microservices
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Parallel Python with Dask: Perform distributed computing, concurrent programming and manage large dataset
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Diving Into Parallel Universes: Reality Reimagined
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Optimizing Compilers for Modern Architectures: A Dependence-Based Approach
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The Sourcebook of Parallel Computing
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Category „Parallel processing“
Exploring the fascinating world of parallel processing opens a window to the future of computing, where tasks are solved simultaneously rather than sequentially. This category encompasses a fundamental aspect of computer architecture and design, appealing to both enthusiasts and professionals in the field of computing and information technology. With the rapid evolution of technology, understanding parallel processing is essential for anyone looking to grasp the intricacies of modern computing systems.
The history of parallel processing dates back to the early days of computing, evolving alongside the need for faster data processing and more efficient algorithms. As computers transitioned from single-core to multi-core architectures, the demand for knowledge in parallel computation grew significantly. This category highlights a variety of books that cover everything from the foundational concepts to advanced techniques in optimization and system design.
Readers may find that delving into parallel processing not only enhances their programming skills but also broadens their understanding of algorithms and system capabilities. Whether one is interested in designing better applications, improving performance, or tackling large-scale data problems, the resources within this category provide invaluable insights and methodologies that are applicable in real-world scenarios.
Books in this category are crafted by authors who are experts in computer science and engineering, often including professionals who have contributed to the development of cutting-edge technologies. Publishers recognized for their commitment to quality and excellence ensure that the content is both informative and accessible, making this an ideal selection for students, educators, and industry practitioners alike.