Using Concurrency for Clojure Performance

Using Concurrency for Clojure Performance focuses performance work on evidence rather than folklore. Java engineers should read these lessons as a disciplined JVM optimization path: measure, isolate the constraint, choose the smallest useful change, and preserve readability unless the metric proves the trade-off.

Use the child pages as practical checkpoints for reviewing hot paths, memory pressure, concurrency decisions, interop boundaries, and production feedback loops.

In this section

• Parallel Processing with pmap
  Explore how to use pmap and other parallel processing functions in Clojure to efficiently utilize multiple CPU cores for computationally intensive tasks.
• Asynchronous Processing for Throughput
  Explore how asynchronous programming in Clojure, using core.async, enhances performance by managing tasks concurrently without blocking threads. Learn to leverage Clojure's unique concurrency features for efficient asynchronous processing.
• Using Atoms and Agents Effectively
  Master the use of Atoms and Agents in Clojure to manage state efficiently in concurrent applications, minimizing contention and synchronization overhead.