CUDA for Engineers: An Introduction to High-Performance Parallel Computing

Using OpenMP-The Next Step: Affinity, Accelerators, Tasking, and SIMD (Scientific and Engineering Computation)

High Performance Parallelism Pearls Volume One: Multicore and Many-core Programming Approaches

Hands-On Embedded Programming with C++17: Create versatile and robust embedded solutions for MCUs and RTOSes with modern C++

High Availability: Design, Techniques, and Processes

Mastering C++ Multithreading: Write robust, concurrent, and parallel applications

Programming Phoenix 1.4: Productive |> Reliable |> Fast

Delphi High Performance.: Master the art of concurrency, parallel programming, and memory management to build fast Delphi apps

Functional Programming in Java: Harnessing the Power Of Java 8 Lambda Expressions

Parallel and High Performance Programming with Python: Unlock parallel and concurrent programming in Python using multithreading, CUDA, Pytorch and ... Programming — Parallel Systems Path)