release-2-6-0 Download release-2-6-0_1release-2-6-0_download New Features release-2-6-0_1release-2-6-0_new_features Bug Fixes release-2-6-0_1release-2-6-0_bug_fixes Deprecated Items release-2-6-0_1release-2-6-0_deprecated_items Miscellaneous Items release-2-6-0_1release-2-6-0_miscellaneous_items Taskflow 2.6.0 is the 8th release in the 2.x line! This release includes several new changes such as CPU-GPU tasking, algorithm collection, enhanced web-based profiler, documentation, and unit tests. We have a new webpage for Taskflow! Taskflow 2.6.0 can be downloaded from here. added explicit join behavior of tf::Subflow (see Join a Subflow and Fibonacci Number) added version macro (TF_VERSION, TF_MAJOR_VERSION, TF_MINOR_VERSION, TF_PATCH_VERSION) to retrieve version info programmatically (tf::version) added TF_BUILD_TESTS and TF_BUILD_EXAMPLES (default on) to let users disable the build of tests and examples (see Building and Installing) renamed tf::Taskflkow::parallel_for to tf::Taskflow::for_each to follow the STL convention redesigned tf::Taskflow::for_each and tf::Taskflow::for_each_index using OpenMP-styled scheduling algorithms; this redesign largely improved the performance of parallel-for using a single dynamic task return, but it breaks the previous API that returned a std::pair of tasks to synchronize on a set of static parallel-for tasks. Yet, we believe adopting this change is not difficult (see Parallel Iterations). added multiple unit tests for tf::Taskflow::for_each and tf::Taskflow::for_each_index at different partition algorithms; we have implemented our partition algorithms based on the OpenMP library implementation of LLVM and GCC. added Mandelbrot application in the benchmark to evaluate the performance of parallel-for redesigned tf::Taskflow::reduce and tf::Taskflow::transform_reduce based on the parallel architecture of tf::Taskflow::for_each (see Parallel Reduction). fixed the bug of iteratively detaching a subflow from a run loop or a condition loop (see Detach a Subflow) fixed the bug of conflict macro with boost (#184) removed two methods, tf::detached and tf::joined, due to the new join/detach behavior improved the section Observe Thread Activities