release-3-5-0 Download release-3-5-0_1release-3-5-0_download System Requirements release-3-5-0_1release-3-5-0_system_requirements Release Summary release-3-5-0_1release-3-5-0_summary New Features release-3-5-0_1release-3-5-0_new_features Taskflow Core release-3-5-0_1release-3-5-0_taskflow_core cudaFlow release-3-5-0_1release-3-5-0_cudaflow Utilities release-3-5-0_1release-3-5-0_utilities Taskflow Profiler (TFProf) release-3-5-0_1release-3-5-0_profiler Bug Fixes release-3-5-0_1release-3-5-0_bug_fixes Breaking Changes release-3-5-0_1release-3-5-0_breaking_changes Deprecated and Removed Items release-3-5-0_1release-3-5-0_deprecated_items Documentation release-3-5-0_1release-3-5-0_documentation Miscellaneous Items release-3-5-0_1release-3-5-0_miscellaneous_items Taskflow 3.5.0 is the 6th release in the 3.x line! This release includes several new changes, such as pipeline parallelism, improved work-stealing performance, profiling, documentation, examples, and unit tests. Taskflow 3.5.0 can be downloaded from here. To use Taskflow v3.5.0, you need a compiler that supports C++17: GNU C++ Compiler at least v8.4 with -std=c++17 Clang C++ Compiler at least v6.0 with -std=c++17 Microsoft Visual Studio at least v19.27 with /std:c++17 AppleClang Xcode Version at least v12.0 with -std=c++17 Nvidia CUDA Toolkit and Compiler (nvcc) at least v11.1 with -std=c++17 Intel C++ Compiler at least v19.0.1 with -std=c++17 Intel DPC++ Clang Compiler at least v13.0.0 with -std=c++17 and SYCL20 Taskflow works on Linux, Windows, and Mac OS X. This release introduces a new data-parallel pipeline programming model, solves the busy-waiting problem in our work-stealing scheduler, and adds a new text-based feature for profiler report. Added tf::WorkerInterface to allow changing properties of workers upon their creations Added tf::Executor::loop_until to allow looping a worker with a custom stop predicate Added tf::DataPipeline to implement data-parallel algorithms See Data-parallel Pipeline Extended tf::Executor to include tf::WorkerInterface Improved parallel algorithms (e.g., tf::Taskflow::for_each) with tail optimization Resolved the busy-waiting problem in our work-stealing algorithm (#400) This release has no update on tf::cudaFlow. Added tf::unroll to unroll loops using template techniques Added tf::CachelineAligned to create a cacheline-aligned object Replaced std::aligned_union (deprecated in C++23) with a custom byte type (#445) Added a new feature to generate a profile summary report See Display Profile Summary Fixed the compilation error in taking move-only types for tf::Taskflow::transform_reduce Fixed the compilation error in the graph pipeline benchmark Fixed the compilation error in unknown OS (replaced with TF_OS_UNKNOWN) If you encounter any potential bugs, please submit an issue at issue tracker. This release has no breaking changes. This release has no deprecated and removed items. Revised Executor Added Execute a Taskflow from an Internal Worker Added Data-parallel Pipeline We have published Taskflow in the following venues: Tsung-Wei Huang and Leslie Hwang, "Task-Parallel Programming with Constrained Parallelism," IEEE High-Performance Extreme Computing Conference (HPEC), MA, 2022 Tsung-Wei Huang, "Enhancing the Performance Portability of Heterogeneous Circuit Analysis Programs," IEEE High-Performance Extreme Computing Conference (HPEC), MA, 2022 Dian-Lun Lin, Haoxing Ren, Yanqing Zhang, and Tsung-Wei Huang, "From RTL to CUDA: A GPU Acceleration Flow for RTL Simulation with Batch Stimulus," ACM International Conference on Parallel Processing (ICPP), Bordeaux, France, 2022 Please do not hesitate to contact Dr. Tsung-Wei Huang if you intend to collaborate with us on using Taskflow in your scientific computing projects.