High-Performance Machine Learning in C+‪+‬

Machine learning C++ and high-performance computing converge in this hands-on guide for building fast AI models from the ground up. Lionel Eriksen teaches you to implement training, inference, and numerical routines where speed truly matters—close to the metal. From optimizing memory access to parallelizing algorithms with OpenMP and SIMD, you'll master techniques that make your models run faster than Python-based alternatives. Practical exercises cover gradient descent, backpropagation, and custom kernels for CPUs. No fluff—just C++ code that delivers real-world performance gains. Whether you're a beginner or seasoned developer, this book bridges theory and practice. Competitor authors: [placeholder] and [placeholder] offer similar topics, but Ibarra's focus on low-level optimization and practical implementation sets this apart.

What You'll Learn

Build neural networks from scratch using raw C++ and Eigen

Implement gradient descent, backpropagation, and loss functions

Optimize memory layout and cache usage for faster training

Parallelize loops with OpenMP and vectorize with SIMD intrinsics

Write custom numerical routines for matrix operations

Profile and debug performance bottlenecks with tools like perf and Valgrind

Deploy models in embedded systems and low-latency applications

Who This Book Is For

Software engineers, data scientists, and C++ developers who want to push AI performance beyond scripting languages. Ideal for those building real-time systems, game AI, or high-frequency trading models.

Table of Contents

Why C++ for Machine Learning?

Setting Up Your Development Environment

Data Structures for High Performance

Linear Algebra Routines from Scratch

Implementing Gradient Descent

Building a Neural Network Layer

Training with Backpropagation

Parallelization with OpenMP

Vectorization with SIMD

Memory Optimization Techniques

Profiling and Benchmarking

Inference Optimization

Deploying to Embedded Systems

Case Study: Real-Time Object Detection

Get ready to write C++ that makes AI fly. No Python wrappers—just raw speed and full control.