A Science of Concurrent Programs

Turing Award-winner Leslie Lamport explains how to think more abstractly about concurrent and distributed programs by viewing them mathematically. More abstract thinking leads to better designs, which leads to better code. A fascinating read for graduate students and researchers in theoretical computer science, concurrency, and distributed systems.

Turing Award-winner Leslie Lamport shares the key lessons he has learned about concurrent and distributed computing over decades of writing and reasoning about their algorithms. Algorithms are not programs, and they shouldn't be written in a programming language. Instead, this book explores how to write them and reason about them by using mathematics. It explains the principles underlying abstract programs and understanding those principles helps to avoid concurrency errors. Designing an abstract program before writing any code can lead to better, more reliable programs. The book has very few mathematical prerequisites, with an appendix summarizing the necessary knowledge. Many of the examples are available online, written in the formal language TLA+, and can be checked with the TLA+ tools. This is a fascinating read for any graduate students and researchers in theoretical computer science, concurrency, and distributed systems.