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Jaguar Journal - March April 2026
English | 48 Pages | PDF | 17.13 MB

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Jaguar Journal - November December 2024
English | 48 Pages | PDF | 21.2 MB

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The Globe and Mail - November 13, 2026
English | 62 Pages | PDF | 20.48 MB

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New York Times International - November 13 2026
English | 20 Pages | PDF | 11.96 MB

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Your Crochet - Christmas 2026
English | 132 Pages | PDF | 39.7 MB

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Kickstart Computer Graphics | 17.24 MB

Title: Kickstart Computer Graphics
Author: Dr. Aditya Shekhar Nittala
Category: Programming, Computer Graphics
Language: English | 424 Pages | ISBN: 9788169646826​


Description:​
Learn the Theory. Write the Code. See the Graphics Come Alive.
Book Description
Don't Just Learn Computer Graphics. Build What You See.
Computer graphics is one of the most visual and rewarding subjects in computing - yet most textbooks separate theory from code, leaving students unable to apply what they have studied. This book closes that gap with a programming-first approach which teaches theory and implementation together.
Kickstart Computer Graphics uses WebGL as its practical platform throughout. Starting with graphics systems, image formation, camera models, and the rendering pipeline, you will build interactive applications, while learning primitives, attributes, coordinate systems, transformations, viewing, and projections. The book then covers GLSL shader programming for vertex and fragment stages, GPU architecture, frame buffer techniques, compositing, curves, surfaces, and advanced rendering. WebGL runs directly in the browser using JavaScript, HTML, and CSS - no complex library setup, no platform dependency, just code and results.
Whether you are studying computer graphics for the first time, preparing for examinations and projects, or building a practical foundation for a career in software or game development, this book gives you the theory, the mathematics, and the working code to understand and build modern graphics systems from the ground up.
What you will learn
● Understand computer graphics systems, rendering pipelines, and GPU architecture.
● Develop interactive 2D and 3D WebGL applications from the ground up.
● Apply transformations, coordinate systems, viewing, and projection techniques.
● Program vertex and fragment shaders using GLSL.
Table of Contents
1. Overview of Graphics Systems and Models
2. Introduction to Graphics Programming
3. Cameras, Projection, and Viewing
4. Geometric Transformations
5. Transformation Matrices
6. Lighting and Shading
7. Graphics Pipeline: From Vertices to Fragments
8. Frame Buffer and Discrete Techniques
9. Compositing, Curves, and Surfaces
10. Advanced Rendering
Appendix
References
Index

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CUDA for LLMs Building fast transformer kernels | 4.59 MB

Title: CUDA for LLMs Building fast transformer kernels
Author: Elliot Arledge
Category: General Computing, C++, Computer Science
Language: English | 408 Pages | ISBN: 9781638358459​


Description:​
Get the eBook free when you register your print book at Manning.

"A fundamental guide for CUDA and modern GPU architecture and their application in the field of AI."
-Bryce Adelstein Lelbach, NVIDIA

The difference between a model that infers in milliseconds instead of seconds, or one that trains in days instead of weeks, is in how effectively you use your hardware. To squeeze every last teraflop out of an NVIDIA GPU, you need to write your own CUDA kernels, and this book will get you there! This book is a friendly hands-on tour of the modern GPU programming stack, written for the latest NVIDIA hardware, and grounded in fundamentals that will outlast any single generation of chips. In 408 fully-illustrated, code-rich pages, author Elliot Arledge guides you from your first kernel all the way to Flash Attention, tensor cores, and multi-GPU distributed training.

GPU programming is complicated, so this book builds your skills one layer at a time using a six-level kernel optimization stack. You'll start by writing a vector addition kernel, learning how grids, blocks, and threads map onto real hardware. From there, you'll implement the naive versions of the kernels every deep learning model depends on: GEMM, softmax, 1D and 2D convolution, max pooling, and matrix transpose. Then you'll build and train a full neural network in six progressively faster implementations and dig into cuBLAS, with backpropagation derived and coded from scratch.

Throughout this book, your focus will stay on real optimization work. You'll port a transformer to CUDA inference and attack each kernel in turn. Your GEMV decoder gets coalesced access, block-level reduction, and vectorization. Softmax becomes online, warp-shuffled, and fused. GEMM progresses through thread remapping, shared memory tiling, 1D and 2D blocktiling, and vectorized loads. Every optimization is profiled, and every profile is explained.

The final chapters take you to the frontier. You'll program tensor cores using the WMMA and WGMMA instruction sets for Hopper hardware and see how manual tiling gets replaced by hardware-managed data movement. You'll implement Flash Attention with tiling and online softmax, quantize models, and explore scaling up to 16 GPUs with tensor and pipeline parallelism over NCCL. By the end, you'll have both a portfolio of more than 50 working kernels and the mental models to write new ones for hardware that doesn't exist yet.

What's inside

• CUDA and GPU programming from the ground up
• Tensor and pipeline parallelism across multiple GPUs
• PyTorch C++ extensions for shipping custom kernels

About the reader

For software and AI engineers comfortable with C/C++. No prior CUDA experience required.

About the author

Elliot Arledge is a GPU performance engineer and educator. Every kernel in this book comes from his workflow of writing, profiling, and verifying CUDA on both consumer and datacenter hardware. He created freeCodeCamp's 12-hour CUDA course and consults on deep learning performance.

Table of Contents

1 When PyTorch just isn't enough
2 Your first CUDA program
3 Naive kernels
4 Training and verifying neural nets in raw CUDA
5 Transformer inference in CUDA
6 Optimizing our transformer kernels
7 Tensor cores
8 Flash Attention
9 Quantization
10 Distributed computing
11 CUTLASS
12 Now what?
A Installation and setup
B Running the code examples
C Troubleshooting and development practices
D CUDA reference: commands, hardware, templates, and bindings
E Additional resources

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Код:
https://rapidgator.net/file/e8690da33ad9e929a039c15fe19da328/CUDA_for_LLMs_Building_fast_transformer_kernels.rar

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CARPology - December 2026
English | 132 Pages | PDF | 53.11 MB

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https://rapidgator.net/file/3d71e52b398305e829d69edbf302d68b/CARPology_-_December_2026.rar
 

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Fluent Web Development A Practical Guide for Senior Engineers | 5.91 MB

Title: Fluent Web Development A Practical Guide for Senior Engineers
Author: Stefan Baumgartner
Category: Systems Analysis, Programming, Software Development, Web Development, Internet
Language: English | 532 Pages | ISBN: 9798341608658​


Description:​
AI writes a lot of code now, so an engineer's real output becomes the decisions made around the code, choices that will impact projects for years, admitting little room for failure. Deep expertise in one area and limited knowledge elsewhere used to be enough when depth took time to develop and engineers rarely needed skills outside their specialty. The job now demands a grasp of each layer in order to judge what a machine hands you, see the failures it didn't mention, and know which question comes next.
Fluent Web Development takes engineers on a deep dive beyond the hype to the core of web application development. With this book, you'll understand the consequences of architectural and technical decisions while examining web apps from every angle, enabling the creation of long-lasting solutions, faster bug detection, and the ability to deliver focused, high-impact code reviews. With this knowledge, you'll zero in on what truly matters for your projects.
[*]Understand what...

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The Horse - Spring 2026
English | 52 Pages | PDF | 18.79 MB

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House & Garden UK - February 2025
English | 172 Pages | PDF | 108.57 MB

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Replicate Universe Sciencbased Reality Or Mythical Fantasy | 9.73 MB

Title: Replicate Universe Sciencbased Reality Or Mythical Fantasy
Author: Rabindra N Mohapatra
Category: Nuclear Physics, Astrophysics & Space Science
Language: English | 249 Pages | ISBN: 9789819832569​


Description:​
A journey into one of the greatest mysteries of modern science, this book explores the hidden world of dark matter - and the proposition that it may reside in a parallel 'mirror' universe existing alongside our own.
Astronomical observations have established that most of the matter in the universe is in an invisible form, known as dark matter. Following its discovery by Fritz Zwicky in 1930 and confirmation by Kent Ford and Vera Rubin in the 1970s, NASA's 2001 explorer mission provided further proof that dark matter constitutes more than 80% of matter in the universe. It has since become clear that dark matter explains how galaxies formed from the uniformly expanding cosmic fluid as the universe evolved, thereby solving another major mystery of the cosmos.
The question at the frontier of current research in cosmology and particle physics is this: what exactly is dark matter? Many high-sensitivity experiments have been carried out to answer this question, but so far they have been unsuccessful. This has led to speculation that dark matter may exist in an alternate universe, where particles experience different forces than we do and interact with familiar matter only through gravity. This would explain why laboratory detectors - built from the material of the visible world - have failed to find such matter. We call this alternate realm the 'mirror universe' or 'replicate universe'. Focusing on lucid explanations instead of dense equations, the book introduces this fascinating concept to a general audience and reveals its powerful implications for our understanding of the universe.

Readership: The book is aimed at general readers with an interest in fundamental questions about the universe. The book will also appeal to high school and undergraduate students in physics.

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a+u Architecture and Urbanism - Is 671 2026
English | 164 Pages | PDF | 125.79 MB

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a+u Architecture and Urbanism - November 2026
English | 164 Pages | PDF | 71.23 MB

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The Wall Street Journal - 13 November 2026
English | 42 Pages | PDF | 22.69 MB

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Better Homes & Gardens - Halloween Pumpkins 2026
English | 100 Pages | PDF | 133.49 MB

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People USA - November 23 2026
English | 66 Pages | PDF | 9.63 MB

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Land Rover - Yearbook 2027
English | 132 Pages | PDF | 48.59 MB

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Jaguar Journal - March April 2025
English | 48 Pages | PDF | 21.78 MB

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Steam World - December 2026
English | 68 Pages | PDF | 45.61 MB

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