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Programming Rust

by Jim Blandy, Jason Orendorff, Leonora F. S. Tindall ...

Systems programming provides the foundation for the world's computation. Writing performance-sensitive code requires a programming language that puts programmers in control of how memory, processor time, and other system resources are used. The Rust systems programming language combines that control with a modern type system that catches broad classes of common mistakes, from memory management ... Read more

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Understand the philosophy of the Clojure language and dive into its inner workings to unlock its advanced features, methodologies, and constructsKey Features\[\*\] Learn to handle data using sequences, reducers, and transducers in Clojure\[\*\] Explore the lesser known and more advanced features, constructs, and methodologies of the Clojure language and its ecosystem, such as asynchronous channels ... Read more

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Understand the philosophy of the Clojure language and dive into its inner workings to unlock its advanced features, methodologies, and constructsKey Features\[\*\] Learn to handle data using sequences, reducers, and transducers in Clojure\[\*\] Explore the lesser known and more advanced features, constructs, and methodologies of the Clojure language and its ecosystem, such as asynchronous channels
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Programming Massively Parallel Processors

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Programming Massively Parallel Processors: A Hands-on Approach shows both students and professionals alike the basic concepts of parallel programming and GPU architecture. Concise, intuitive, and practical, it is based on years of road-testing in the authors' own parallel computing courses. Various techniques for constructing and optimizing parallel programs are explored in detail, while case ... Read more

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by Sandeep Telkar R, Likewin Thomas, Rajesh Yakkundimath, Divyashree Mallarapu ...

Unveiling Compiler Secrets from Source to Execution.Key Features● Master compiler fundamentals, from lexical analysis to advanced optimization techniques.● Reinforce concepts with practical exercises, projects, and real-world case studies.● Explore LLVM, GCC, and industry-standard optimization methods for efficient code generation.Book DescriptionCompilers are the backbone of modern computing, ... Read more

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Write robust, concurrent, and parallel applications

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GPU-Accelerated Computing with Python 3 and CUDA

From low-level kernels to real-world applications in scientific computing and machine learning

by Niels Cautaerts, Hossein Ghorbanfekr ...

Accelerate your Python code on the GPU using CUDA, Numba, and modern libraries to solve real-world problems faster and more efficiently.Key FeaturesBuild a solid foundation in CUDA with Python, from kernel design to execution and debuggingOptimize GPU performance with efficient memory access, CUDA streams, and multi-GPU scalingUse JAX, CuPy, RAPIDS, and Numba to accelerate numerical computing and ... Read more

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Until now, design patterns for the MapReduce framework have been scattered among various research papers, blogs, and books. This handy guide brings together a unique collection of valuable MapReduce patterns that will save you time and effort regardless of the domain, language, or development framework you’re using.Each pattern is explained in context, with pitfalls and caveats clearly identified ... Read more

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Recommended For You

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Programming Rust

Delphi GUI Programming with FireMonkey

Persistence Best Practices for Java Applications

Rust In Practice, Second Edition

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Parallel and High Performance Programming with Python

Parallel Programming with Python

Microsoft Azure AI: A Beginner’s Guide

Functional Programming in Java

Mastering Three.js: A Journey Through 3D Web Development

Mastering Swift

JavaScript

Hands-On GPU Programming with Python and CUDA

Python High Performance

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Go Cookbook

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Programming Massively Parallel Processors

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Mastering C++ Multithreading

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