Parallel programming can be used to take advance of multi-core and heterogeneous architectures and can significantly increase the performance of software. It has gained a reputation for being difficult, but is it really? Modern C++ has gone a long way to making parallel programming easier and more accessible; providing both high-level and low-level abstractions. C++11 introduced the C++ memory model and standard threading library which includes threads, futures, promises, mutexes, atomics and more. C++17 takes this further by providing high level parallel algorithms; parallel implementations of many standard algorithms; and much more is expected in C++20. The introduction of the parallel algorithms also opens C++ to supporting non-CPU architectures, such as GPU, FPGAs, APUs and other accelerators.
This course will teach you the fundamentals of parallelism; how to recognise when to use parallelism, how to make the best choices and common parallel patterns such as reduce, map and scan which can be used over and again. It will teach you how to make use of the C++ standard threading library, but it will take this further by teaching you how to extend parallelism to heterogeneous devices, using the SYCL programming model to implement these patterns on a GPU using standard C++.
Gordon Brown is a senior software engineer at Codeplay Software specializing in heterogeneous programming models for C++. He has been involved in the standardization of the Khronos standard SYCL and the development of Codeplay’s implementation of the standard from its inception. More recently he has been involved in the efforts within SG1/SG14 to standardize execution and to bring heterogeneous computing to C++.
Michael Wong is VP of R&D at Codeplay Software. He is a current Director and VP of ISOCPP , and a senior member of the C++ Standards Committee with more then 15 years of experience. He chairs the WG21 SG5 Transactional Memory and SG14 Games Development/Low Latency/Financials C++ groups and is the co-author of a number C++/OpenMP/Transactional memory features including generalized attributes, user-defined literals, inheriting constructors, weakly ordered memory models, and explicit conversion operators. He has published numerous research papers and is the author of a book on C++11. He has been in invited speaker and keynote at numerous conferences. He is currently the editor of SG1 Concurrency TS and SG5 Transactional Memory TS. He is also the Chair of the SYCL standard and all Programming Languages for Standards Council of Canada. Previously, he was CEO of OpenMP involved with taking OpenMP toward Acceelerator support and the Technical Strategy Architect responsible for moving IBM’s compilers to Clang/LLVM after leading IBM’s XL C++ compiler team.