namespace tf {

/** @page SubflowTasking Subflow Tasking

It is very common for a parallel program to 
spawn task dependency graphs at runtime.
In %Taskflow, we call this <em>subflow tasking</em>.

@tableofcontents

@section CreateASubflow Create a Subflow

%Subflow tasks are those created during the execution of a graph.
These tasks are spawned from a parent task and are grouped together to a 
@em subflow dependency graph.
To create a subflow, emplace a callable 
that takes an argument of type tf::Subflow.
A tf::Subflow object will be created and forwarded to
the execution context of the task.
All methods you find in tf::Taskflow are applicable for tf::Subflow.

@code{.cpp}
 1: tf::Taskflow taskflow;
 2: tf::Executor executor;
 3:
 4: tf::Task A = taskflow.emplace([] () {}).name("A");  // static task A
 5: tf::Task C = taskflow.emplace([] () {}).name("C");  // static task C
 6: tf::Task D = taskflow.emplace([] () {}).name("D");  // static task D
 7:
 8: tf::Task B = taskflow.emplace([] (tf::Subflow& subflow) { 
 9:   tf::Task B1 = subflow.emplace([] () {}).name("B1");  // subflow task B1
10:   tf::Task B2 = subflow.emplace([] () {}).name("B2");  // subflow task B2
11:   tf::Task B3 = subflow.emplace([] () {}).name("B3");  // subflow task B3
12:   B1.precede(B3);  // B1 runs before B3
13:   B2.precede(B3);  // B2 runs before B3
14: }).name("B");
15:
16: A.precede(B);  // B runs after A
17: A.precede(C);  // C runs after A
18: B.precede(D);  // D runs after B
19: C.precede(D);  // D runs after C
20:
21: executor.run(taskflow).get();  // execute the graph to spawn the subflow
22: taskflow.dump(std::cout);      // dump the taskflow to a DOT format
@endcode

<!--@image html images/subflow_join.svg width=35%-->

@parblock
@dotfile images/subflow-join.dot
@endparblock

Debrief:
@li Lines 1-2 create a taskflow and an executor
@li Lines 4-6 create three tasks, A, C, and D
@li Lines 8-14 create a task B that spawns a task dependency graph of three tasks B1, B2, and B3
@li Lines 16-19 add dependencies among A, B, C, and D
@li Line 21 submits the graph to an executor and waits until it finishes
@li Line 22 dumps the entire task dependency graph

Lines 8-14 are the main block to enable subflow tasking at task B.
The runtime will create a tf::Subflow passing it to task B,
and spawn a dependency graph as described by the associated callable.
This new subflow graph will be added to the topology of its parent task B.
Due to the property of subflow tasking,
we cannot dump its structure before execution.
We will need to run the graph first to spawn the graph and then
call tf::Taskflow::dump.

@section JoinASubflow Join a Subflow

By default, a subflow joins its parent task when the program leaves its execution context.
All nodes of zero outgoing edges in the subflow precede its parent task.
You can explicitly join a subflow within its execution context to
carry out recursive patterns.
A famous implementation is fibonacci recursion.

@code{.cpp}
int spawn(int n, tf::Subflow& sbf) {
  if (n < 2) return n;
  int res1, res2;
  sbf.emplace([&res1, n] (tf::Subflow& sbf) { res1 = spawn(n - 1, sbf); } );
  sbf.emplace([&res2, n] (tf::Subflow& sbf) { res2 = spawn(n - 2, sbf); } );
  sbf.join();    // join to materialize the subflow immediately
  return res1 + res2;
}
  
taskflow.emplace([&res] (tf::Subflow& sbf) { 
  res = spawn(5, sbf);  
});

executor.run(taskflow).wait();
@endcode

The code above computes the fifth fibonacci number using recursive subflow.
Calling tf::Subflow::join @em immediately materializes the subflow by executing all associated
tasks to recursively compute fibonacci numbers.
The taskflow graph is shown below:

<!-- @image html images/fibonacci_10.svg width=100% -->
@dotfile images/fibonacci_7.dot

Our implementation to join subflows is @em recursive in order to
preserve the thread context in each subflow task.
Having a deep recursion of subflows may cause stack overflow.

@section DetachASubflow Detach a Subflow

In contract to joined subflow, 
you can detach a subflow from its parent task, allowing its execution to flow independently.

@code{.cpp}
 1: tf::Taskflow taskflow;
 2:
 3: tf::Task A = taskflow.emplace([] () {}).name("A");  // static task A
 4: tf::Task C = taskflow.emplace([] () {}).name("C");  // static task C
 5: tf::Task D = taskflow.emplace([] () {}).name("D");  // static task D
 6:
 7: tf::Task B = taskflow.emplace([] (tf::Subflow& subflow) { 
 8:   tf::Task B1 = subflow.emplace([] () {}).name("B1");  // static task B1
 9:   tf::Task B2 = subflow.emplace([] () {}).name("B2");  // static task B2
10:   tf::Task B3 = subflow.emplace([] () {}).name("B3");  // static task B3
11:   B1.precede(B3);    // B1 runs before B3
12:   B2.precede(B3);    // B2 runs before B3
13:   subflow.detach();  // detach this subflow
14: }).name("B");
15:
16: A.precede(B);  // B runs after A
17: A.precede(C);  // C runs after A
18: B.precede(D);  // D runs after B
19: C.precede(D);  // D runs after C
20:
21: tf::Executor executor;
22: executor.run(taskflow).wait();       // execute the graph to spawn the subflow
22: taskflow.dump(std::cout);            // dump the taskflow to DOT format
@endcode

The figure below demonstrates a detached subflow based on the previous example.
A detached subflow will eventually join the topology of its parent task.

<!-- @image html images/subflow_detach.svg width=45% -->
@dotfile images/subflow-detach.dot

Detached subflow becomes an independent graph attached to the top-most taskflow.
Running a taskflow multiple times will accumulate all detached tasks
in the graph.
For example, running the above taskflow 5 times results in a total of 19 tasks.

@code{.cpp}
executor.run_n(taskflow, 5).wait();
assert(taskflow.num_tasks() == 19);
taskflow.dump(std::cout);
@endcode

The dumped graph is shown as follows:

<!-- @image html images/subflow_detach_10.svg width=100% -->
@dotfile images/subflow_detach_5.dot

@section CreateANestedSubflow Create a Nested Subflow

A subflow can be nested or recursive.
You can create another subflow from the execution of a subflow and so on.

@code{.cpp}
 1: tf::Taskflow taskflow;
 2:
 3: tf::Task A = taskflow.emplace([] (tf::Subflow& sbf){
 4:   std::cout << "A spawns A1 & subflow A2\n";
 5:   tf::Task A1 = sbf.emplace([] () {
 6:     std::cout << "subtask A1\n";
 7:   }).name("A1");
 8:
 9:   tf::Task A2 = sbf.emplace([] (tf::Subflow& sbf2){
10:     std::cout << "A2 spawns A2_1 & A2_2\n";
11:     tf::Task A2_1 = sbf2.emplace([] () {
12:       std::cout << "subtask A2_1\n";
13:     }).name("A2_1");
14:     tf::Task A2_2 = sbf2.emplace([] () {
15:       std::cout << "subtask A2_2\n";
16:     }).name("A2_2");
17:     A2_1.precede(A2_2);
18:   }).name("A2");
19:   A1.precede(A2);
20: }).name("A");
21:
22: // execute the graph to spawn the subflow
23: tf::Executor().run(taskflow).get();
24: taskflow.dump(std::cout);
@endcode

<!-- @image html images/nested_subflow.svg  -->
@dotfile images/nested_subflow.dot

Debrief:
@li Line 1 creates a taskflow object
@li Lines 3-20 create a task to spawn a subflow of two tasks A1 and A2
@li Lines 9-18 spawn another subflow of two tasks A2_1 and A2_2 out of its parent task A2
@li Lines 23-24 runs the graph asynchronously and dump its structure when it finishes

Similarly, you can detach a nested subflow from its parent subflow.
A detached subflow will run independently and eventually join the topology
of its parent subflow.


*/

}