C++20's Likely Attribute - Optimizations, Pessimizations, and Unlikely Consequences
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the intricacies of C++20's [[likely]] and [[unlikely]] attributes in this CppCon conference talk. Dive deep into branch prediction, optimizations, and pessimizations while learning the art of benchmarking. Investigate the meaning of these attributes, the risks associated with their use, and whether they're worth implementing. Gain valuable insights into performance tuning and discover how to focus efforts on elements that truly impact performance. Benefit from the expertise of Amir Kirsh and Tomer Vromen as they guide you through topics such as code layout, CPU predictors, early returns, exceptions, and actual benchmarks. Enhance your understanding of C++ performance optimization techniques and learn to make informed decisions when using these new language features.