Lazy and Fast - Ranges Meet Parallelism in C++

Explore a modern library technique that bridges the gap between lazy ranges and parallel algorithms in C++. Learn how recent advances in the C++ standard have introduced powerful features like ranges and parallel algorithms, both designed to write faster, cleaner, and more expressive code, yet discover why these seemingly complementary features don't naturally work well together in practice. Understand how many range operations, especially those over non-random-access sources, are inherently sequential due to their lazy pull-based, one-element-at-a-time nature, which conflicts with parallel processing requirements. Master practical techniques for building lazy, composable range pipelines that are parallel-friendly and capable of efficiently expressing operations like filter, scan, and flatten without sacrificing performance or elegance. Examine real-world examples demonstrating how these techniques deliver strong parallel speedups with minimal programming overhead. Gain insights from Daniel Anderson, an assistant teaching professor at Carnegie Mellon University with a PhD in computer science focusing on parallel computing and parallel algorithms, who teaches algorithms to hundreds of undergraduate students and develops C++ libraries to make parallel computing more accessible to non-experts.