SENG475

Advanced Programming Techniques for Robust Efficient Computing

Advanced programming techniques for robust high-efficiency computing are explored in the context of a single programming language, such as C++ or Swift. Topics covered may include: concurrency, parallelism, and vectorization; cache-efficient coding; compile-time versus run-time computation; generic programming techniques; resource/memory management; copy and move semantics; exception-safe coding; techniques for writing correct, efficient, and optimizer-friendly code. Application areas considered may include: signal/geometry processing; computer graphics; and numerical analysis.