Tensor Programming in C
Building High-Performance Numerical Systems from Scratch
A hands-on, practical guide to implementing tensor operations, optimizations, and real-world applications in C. This book series takes you from basic tensor structures to high-performance neural networks and embedded deployments.
Chapters
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Chapter 1: Setting Up Your Tensor Programming Toolkit
Start your journey by building a solid foundation for tensor programming in C. You'll set up a development environment, implement a basic tensor structure, and learn essential debugging techniques.
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Chapter 2: Implementing Core Tensor Operations from Scratch
Build the fundamental operations that form the backbone of any tensor library. This chapter focuses on creating efficient implementations without external dependencies.
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Chapter 3: Mastering Memory Layouts for Speed
Dive into the critical relationship between memory layout and performance. Learn how proper data organization can dramatically speed up tensor operations.
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Chapter 4: Parallelizing Tensor Workloads with OpenMP
Harness the power of multi-core processors to accelerate tensor operations. This chapter shows you how to safely parallelize your code for maximum performance.
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Chapter 5: Vectorizing Code with SIMD Intrinsics
Unlock the full potential of modern CPUs by leveraging SIMD instructions. Learn to use vector units for dramatic performance improvements in tensor operations.
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About This Book Series
I wrote this series after years of struggling with the gap between theoretical tensor mathematics and practical, high-performance C implementations. Too many resources either focus on abstract concepts without addressing real-world implementation challenges, or they provide code snippets that fall apart in production environments.
This book series is different. It's the guide I wish I had when I started building tensor systems for embedded devices and HPC clusters. Each chapter tackles concrete problems you'll face when implementing tensor operations in C, with complete code examples that prioritize:
- Hands-on learning: Every concept is accompanied by working C code you can compile and run
- Performance optimization: Techniques for squeezing maximum performance from your hardware
- Memory management: Proper allocation, tracking, and freeing of resources
- Debugging strategies: Real-world approaches to finding and fixing common bugs
- Production readiness: Code that's robust enough for industrial applications