Authored by Daniel Lemire, a computer science professor and researcher, this blog covers a wide range of topics, including database systems, compression algorithms, and software performance optimization. Readers can delve into discussions on  research, practical algorithms, and data processing techniques. Additionally, they can explore insights into computer science education, academic publishing, and career advice for aspiring researchers.

Daniel Lemire

Concurrency in software development enables programs to utilize multiple processors effectively. This post covers the complexities and strategies of handling concurrency in Go, focusing on goroutines, channels, and synchronization techniques such as WaitGroups, atomic operations, and mutexes. It highlights the trade-offs in performance and complexity when using parallelism, and provides examples to illustrate how different synchronization methods are implemented in Go to avoid data races and ensure thread safety.

An overview of parallel programming (Go edition) – Daniel Lemire's blog