namespace tf {

/** @page release-3-7-0 Release 3.7.0 (2024/05/07)

%Taskflow 3.7.0 is the 8th release in the 3.x line! 
This release includes several new changes, such as exception support, improved scheduling algorithms,
documentation, examples, and unit tests. 

@tableofcontents

@section release-3-7-0_download Download

%Taskflow 3.7.0 can be downloaded from <a href="https://github.com/taskflow/taskflow/releases/tag/v3.7.0">here</a>.

@section release-3-7-0_system_requirements System Requirements

To use %Taskflow v3.7.0, you need a compiler that supports C++17:

@li GNU C++ Compiler at least v8.4 with -std=c++17
@li Clang C++ Compiler at least v6.0 with -std=c++17
@li Microsoft Visual Studio at least v19.27 with /std:c++17
@li AppleClang Xcode Version at least v12.0 with -std=c++17
@li Nvidia CUDA Toolkit and Compiler (nvcc) at least v11.1 with -std=c++17
@li Intel C++ Compiler at least v19.0.1 with -std=c++17
@li Intel DPC++ Clang Compiler at least v13.0.0 with -std=c++17

%Taskflow works on Linux, Windows, and Mac OS X.

@section release-3-7-0_summary Release Summary

This release introduces a new exception interface to help identify C++ errors 
in taskflow programs.

@section release-3-7-0_new_features New Features

@subsection release-3-7-0_taskflow_core Taskflow Core

+ Improved scheduling performance of dependent asynchronous tasks
+ Improved scheduling performance of module task by removing busy looping
+ Improved tf::Executor::wait_for_all using C++20 atomic wait
+ Improved tf::Notifier using C++20 atomic wait 
+ Improved worker-thread ID mapping performance using C++20 atomic wait
+ Added `-Wshadow` to the compilation check
+ Added tf::AsyncTask::is_done to query the completion status of an async task
+ Added tf::Taskflow::remove_dependency to remove dependencies from the graph
+ Added support for exception in tf::Taskflow and tf::Executor

@code{.cpp}
tf::Executor executor;
tf::Taskflow taskflow;
taskflow.emplace([](){ throw std::runtime_error("exception"); });
try {
  executor.run(taskflow).get();
}
catch(const std::runtime_error& e) {
  std::cerr << e.what() << std::endl;
}
@endcode

+ Modified the CI to exclude exception test under sanitizers 
+ Modified the tf::PartitionerBase to allow defining custom closure wrappers 

@code{.cpp}
std::atomic<int> count = 0;
tf::Taskflow taskflow;
taskflow.for_each_index(0, 100, 1, 
  [](){                 
    printf("%d\n", i); 
  },
  tf::StaticPartitioner(0, [](auto&& closure){
    // do something before invoking the partitioned task
    // ...
    
    // invoke the partitioned task
    closure();

    // do something else after invoking the partitioned task
    // ...
  }
);
executor.run(taskflow).wait();
@endcode


@subsection release-3-7-0_utilities Utilities

@section release-3-7-0_bug_fixes Bug Fixes 

+ Fixed compilation error of CUDA examples caused by not including `for_each.hpp`
+ Fixed the runtime error of tf::Taskflow::for_each_index when the range invalid 

@section release-3-7-0_breaking_changes Breaking Changes

+ Renamed tf::Runtime::join to tf::Runtime::corun_all
+ Removed tf::WorkerInterface due to the support of exception 

@section release-3-7-0_documentation Documentation

+ Revised @ref DependentAsyncTasking
+ Revised @ref ExceptionHandling 
+ Revised @ref ExecuteTaskflow
  + Removed the section of tf::WorkerInterface
+ Revised @ref PartitioningAlgorithm

@section release-3-7-0_miscellaneous_items Miscellaneous Items

We have published %Taskflow in the following venues:

+ Cheng-Hsiang Chiu, Zhicheng Xiong, Zizheng Guo, Tsung-Wei Huang, and Yibo Lin, &quot;[An Efficient Task-parallel Pipeline Programming Framework](https://tsung-wei-huang.github.io/papers/hpcasia-24.pdf),&quot; <em>ACM International Conference on High-performance Computing in Asia-Pacific Region (HPC Asia)</em>, Nagoya, Japan, 2024
+ Cheng-Hsiang Chiu, Dian-Lun Lin, and Tsung-Wei Huang,, &quot;[Programming Dynamic Task Parallelism for Heterogeneous EDA Algorithms](https://tsung-wei-huang.github.io/papers/iccad23-asynctask.pdf),&quot; <em>IEEE/ACM International Conference on Computer-aided Design (ICCAD)</em>, San Francisco, CA, 2023


Please do not hesitate to contact @twhuang if you intend to collaborate with us 
on using %Taskflow in your scientific computing projects.

*/

}


