HHSHOP68

Performance Analysis and Tuning on Modern CPUs by Denis Bakhvalov is a masterclass in low-level software optimization. This expanded second edition covers CPU microarchitecture, performance measurement, and advanced tuning techniques for memory and branching. Essential for developers writing high-speed software.

Mechatronics 7th Edition by W. Bolton is a comprehensive guide to the integration of mechanical, electronic, and computer engineering. This 7th edition covers sensors, microcontrollers (Atmega), and control systems with practical case studies. It is an essential resource for students and engineers designing modern integrated systems.

Designing Data-Intensive Applications 2nd Edition helps software engineers navigate the complex world of modern data systems. Martin Kleppmann and Chris Riccomini cover scalability, reliability, and maintainability, exploring NoSQL, stream processing, and distributed theory to help you make informed design choices.

The Book of Why explores the causal revolution, showing how understanding cause and effect is essential for human thought and AI development. Judea Pearl and Dana Mackenzie explain how to move beyond simple correlation to causal modeling, enabling us to answer deep scientific questions and explore what-if scenarios.

Essential Math for AI by Hala Nelson bridges the gap between AI applications and their mathematical foundations. It covers regression, neural networks, and optimization through real-world examples and Python code, enabling engineers and data scientists to build efficient, state-of-the-art AI solutions with ease.

AI Systems Performance Engineering by Chris Fregly is the definitive guide to maximizing efficiency across AI infrastructure. It provides actionable strategies for optimizing GPUs, CUDA, and PyTorch, helping engineers build scalable, cost-effective AI systems with a comprehensive 175-item optimization checklist.