CppCon 2019

Ever since multicore CPUs became widely available, programmers have been working to get compute-intensive code to run in parallel and take advantage of CPU hardware parallelism. This effort has continued in the era of general-purpose programming on GPUs. There are many approaches to parallelizing C++ code on multicore CPUs or GPUs. C++11 threads, OpenMP or OpenACC pragmas, CUDA, and class libraries like Kokkos are among the options. The C++17 standard introduced parallel versions of standard algorithms, offering an approach that is fully portable across C++17 implementations and supports both CPUs and GPUs. This talk will survey many of these approaches and compare them for ease of use, clarity of the code, and performance. It will include an overview of the current state of implementations of C++17 parallel algorithms in different compilers.