taskflow/unittests/test_dependent_asyncs.cpp at task_isolation · ModuleWorks/taskflow · GitHub

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#define DOCTEST_CONFIG_IMPLEMENT_WITH_MAIN

#include <doctest.h>

#include <taskflow/taskflow.hpp>

#include <taskflow/algorithm/for_each.hpp>

#include <taskflow/algorithm/transform.hpp>

#include <taskflow/algorithm/reduce.hpp>

#include <taskflow/algorithm/scan.hpp>

#include <taskflow/algorithm/sort.hpp>

#include <taskflow/algorithm/module.hpp>

// ----------------------------------------------------------------------------

// embarrassing parallelism

// ----------------------------------------------------------------------------

void embarrassing_parallelism(unsigned W) {

tf::Executor executor(W);

std::atomic<int> counter(0);

int N = 100000;

for (int i = 0; i < N/2; ++i) {

executor.silent_dependent_async(

tf::TaskParams{std::to_string(i)}, [&](){

counter.fetch_add(1, std::memory_order_relaxed);

}

);

}

for (int i = N/2; i < N; ++i) {

executor.dependent_async(

tf::DefaultTaskParams{}, [&](){

counter.fetch_add(1, std::memory_order_relaxed);

}

);

}

executor.wait_for_all();

int cnt = counter.load(std::memory_order_relaxed);

REQUIRE(cnt == N);

}

TEST_CASE("DependentAsync.EmbarrassingParallelism.1thread" * doctest::timeout(300)) {

embarrassing_parallelism(1);

}

TEST_CASE("DependentAsync.EmbarrassingParallelism.2threads" * doctest::timeout(300)) {

embarrassing_parallelism(2);

}

TEST_CASE("DependentAsync.EmbarrassingParallelism.4threads" * doctest::timeout(300)) {

embarrassing_parallelism(4);

}

TEST_CASE("DependentAsync.EmbarrassingParallelism.8threads" * doctest::timeout(300)) {

embarrassing_parallelism(8);

}

TEST_CASE("DependentAsync.EmbarrassingParallelism.16threads" * doctest::timeout(300)) {

embarrassing_parallelism(16);

}

// ----------------------------------------------------------------------------

// Linear Chain

// ----------------------------------------------------------------------------

void silent_dependent_async_linear_chain(unsigned W) {

tf::Executor executor(W);

int N = 100000;

std::vector<tf::CachelineAligned<int>> results(N);

std::vector<tf::AsyncTask> tasks;

for (int i = 0; i < N; ++i) {

if (i == 0) {

auto t = executor.silent_dependent_async(

[&results, i](){

results[i].data = i+1;

}

);

tasks.push_back(t);

}

else {

auto t = executor.silent_dependent_async(

[&results, i](){

results[i].data = results[i-1].data + i;

}, tasks.begin(), tasks.end()

);

tasks.clear();

tasks.push_back(t);

}

executor.wait_for_all();

REQUIRE(results[0].data == 1);

for (int i = 1; i < N; ++i) {

REQUIRE(results[i].data == results[i-1].data + i);

}

TEST_CASE("SilentDependentAsync.LinearChain.1thread" * doctest::timeout(300)) {

silent_dependent_async_linear_chain(1);

}

TEST_CASE("SilentDependentAsync.LinearChain.2threads" * doctest::timeout(300)) {

silent_dependent_async_linear_chain(2);

}

TEST_CASE("SilentDependentAsync.LinearChain.4threads" * doctest::timeout(300)) {

silent_dependent_async_linear_chain(4);

}

TEST_CASE("SilentDependentAsync.LinearChain.8threads" * doctest::timeout(300)) {

silent_dependent_async_linear_chain(8);

}

TEST_CASE("SilentDependentAsync.LinearChain.16threads" * doctest::timeout(300)) {

silent_dependent_async_linear_chain(16);

}

// ----------------------------------------------------------------------------

// Simple Graph

// ----------------------------------------------------------------------------

// task dependence :

// |--> 1 |--> 4

// 0 ----> 2 -----> 5

// |--> 3 |--> 6

void simple_graph(unsigned W) {

tf::Executor executor(W);

size_t count = 7;

std::vector<int> results;

std::vector<tf::AsyncTask> tasks;

for (int id = 0; id < 100; ++id) {

results.resize(count);

auto t0 = executor.silent_dependent_async(

[&](){

results[0] = 100 + id;

}

);

tasks.push_back(t0);

auto t1 = executor.silent_dependent_async(

[&](){

results[1] = results[0] * 6 + id;

}, tasks.begin(), tasks.end()

);

auto t2 = executor.silent_dependent_async(

[&](){

results[2] = results[0] - 200 + id;

}, tasks.begin(), tasks.end()

);

auto t3 = executor.silent_dependent_async(

[&](){

results[3] = results[0] / 9 + id;

}, tasks.begin(), tasks.end()

);

auto t4 = executor.silent_dependent_async(

[&](){

results[4] = results[2] + 66 + id;

}, t2

);

auto t5 = executor.silent_dependent_async(

[&](){

results[5] = results[2] - 999 + id;

}, t2

);

auto t6 = executor.silent_dependent_async(

[&](){

results[6] = results[2] * 9 / 13 + id;

}, t2

);

executor.wait_for_all();

for (size_t i = 0; i < count; ++i) {

switch (i) {

case 0:

REQUIRE(results[i] == 100 + id);

break;

case 1:

REQUIRE(results[i] == results[0] * 6 + id);

break;

case 2:

REQUIRE(results[i] == results[0] - 200 + id);

break;

case 3:

REQUIRE(results[i] == results[0] / 9 + id);

break;

case 4:

REQUIRE(results[i] == results[2] + 66 + id);

break;

case 5:

REQUIRE(results[i] == results[2] - 999 + id);

break;

case 6:

REQUIRE(results[i] == results[2] * 9 / 13 + id);

break;

}

results.clear();

tasks.clear();

}

TEST_CASE("SilentDependentAsync.SimpleGraph.1thread" * doctest::timeout(300)) {

simple_graph(1);

}

TEST_CASE("SilentDependentAsync.SimpleGraph.2threads" * doctest::timeout(300)) {

simple_graph(2);

}

TEST_CASE("SilentDependentAsync.SimpleGraph.4threads" * doctest::timeout(300)) {

simple_graph(4);

}

TEST_CASE("SilentDependentAsync.SimpleGraph.8threads" * doctest::timeout(300)) {

simple_graph(8);

}

TEST_CASE("SilentDependentAsync.SimpleGraph.16threads" * doctest::timeout(300)) {

simple_graph(16);

}

// task dependence :

// ----------------------------

// | |--> 3 --| |

// | | --> 7 --->|

// 0 ---| |--> 4 --| |

// v ^ v

// --> 2 --| ---------------------> 9

// ^ v ^

// 1 ---| |--> 5 --| |

// | | --> 8 --->|

// | |--> 6 --| |

// -----------------------------

void simple_graph_2(unsigned W) {

tf::Executor executor(W);

size_t count = 10;

std::vector<tf::CachelineAligned<int>> results(count);

std::vector<tf::AsyncTask> tasks1;

std::vector<tf::AsyncTask> tasks2;

std::vector<tf::AsyncTask> tasks3;

std::vector<tf::AsyncTask> tasks4;

for (int id = 0; id < 100; ++id) {

results.resize(count);

auto t0 = executor.silent_dependent_async(

"t0", [&](){

results[0].data = 100 + id;

}

);

auto t1 = executor.silent_dependent_async(

"t1", [&](){

results[1].data = 6 * id;

}

);

auto t2 = executor.silent_dependent_async(

"t2", [&](){

results[2].data = results[0].data + results[1].data + id;

}, t0, t1

);

tasks1.push_back(t2);

auto [t3, fu3] = executor.dependent_async(

"t3", [&](){

results[3].data = results[2].data + id;

return results[3].data;

}, tasks1.begin(), tasks1.end()

);

auto t4 = executor.silent_dependent_async(

"t4", [&](){

results[4].data = results[2].data + id;

}, tasks1.begin(), tasks1.end()

);

auto [t5, fu5] = executor.dependent_async(

"t5", [&](){

results[5].data = results[2].data + id;

return results[5].data;

}, tasks1.begin(), tasks1.end()

);

auto t6 = executor.silent_dependent_async(

"t6", [&](){

results[6].data = results[2].data + id;

}, tasks1.begin(), tasks1.end()

);

tasks2.push_back(t3);

tasks2.push_back(t4);

tasks3.push_back(t5);

tasks3.push_back(t6);

auto [t7, fu7] = executor.dependent_async(

"t7", [&](){

results[7].data = results[3].data + results[4].data + id;

return results[7].data;

}, tasks2.begin(), tasks2.end()

);

auto t8 = executor.silent_dependent_async(

"t8", [&](){

results[8].data = results[5].data + results[6].data + id;

}, tasks3.begin(), tasks3.end()

);

tasks4.push_back(t0);

tasks4.push_back(t1);

tasks4.push_back(t2);

tasks4.push_back(t7);

tasks4.push_back(t8);

auto [t9, fu9] = executor.dependent_async(

"t9", [&](){

results[9].data = results[0].data + results[1].data +

results[2].data + results[7].data + results[8].data + id;

return results[9].data;

}, tasks4.begin(), tasks4.end()

);

REQUIRE(fu9.get() == results[9].data);

REQUIRE(fu3.wait_for(std::chrono::microseconds(1)) == std::future_status::ready);

REQUIRE(fu3.get() == results[3].data);

REQUIRE(fu5.wait_for(std::chrono::microseconds(1)) == std::future_status::ready);

REQUIRE(fu5.get() == results[5].data);

REQUIRE(fu7.wait_for(std::chrono::microseconds(1)) == std::future_status::ready);

REQUIRE(fu7.get() == results[7].data);

for (size_t i = 0; i < count; ++i) {

switch (i) {

case 0:

REQUIRE(results[i].data == 100 + id);

break;

case 1:

REQUIRE(results[i].data == 6 * id);

break;

case 2:

REQUIRE(results[i].data == results[0].data + results[1].data + id);

break;

case 3:

REQUIRE(results[i].data == results[2].data + id);

break;

case 4:

REQUIRE(results[i].data == results[2].data+ id);

break;

case 5:

REQUIRE(results[i].data == results[2].data + id);

break;

case 6:

REQUIRE(results[i].data == results[2].data + id);

break;

case 7:

REQUIRE(results[i].data == results[3].data + results[4].data + id);

break;

case 8:

REQUIRE(results[i].data == results[5].data + results[5].data + id);

break;

case 9:

REQUIRE(results[i].data == results[0].data + results[1].data +

results[2].data + results[7].data + results[8].data + id);

break;

}

results.clear();

tasks1.clear();

tasks2.clear();

tasks3.clear();

tasks4.clear();

}

TEST_CASE("DependentAsync.SimpleGraph2.1thread" * doctest::timeout(300)) {

simple_graph_2(1);

}

TEST_CASE("DependentAsync.SimpleGraph2.2threads" * doctest::timeout(300)) {

simple_graph_2(2);

}

TEST_CASE("DependentAsync.SimpleGraph2.4threads" * doctest::timeout(300)) {

simple_graph_2(4);

}

TEST_CASE("DependentAsync.SimpleGraph2.8threads" * doctest::timeout(300)) {

simple_graph_2(8);

}

TEST_CASE("DependentAsync.SimpleGraph2.16threads" * doctest::timeout(300)) {

simple_graph_2(16);

}

// -------------------------------------------------------------------------------------

// Complex Graph

// -------------------------------------------------------------------------------------

// task graph

// ---> 101 ----

// | . |

// ---> 1 ----> . ---> 10101 ---

// | . | . | . |

// | . ---> 200 ---- . |

// | . . . |

// 0 --> . . . ---> 10201

// | . . . |

// | . ---> 10001 -- . |

// | . | . | . |

// ---> 100 --> . ---> 10200 ---

// | . |

// ---> 10100 --

// level 0 : task 0 has 100 output edges pointing to task 1 to task 100

// level 1 : task 1 has 100 output edges pointing to task 101 to task 200

// task 2 has 100 output edges pointing to task 201 to task 300

// task 100 has 100 output edges pointing to task 10001 to task 10100

// level 2 : task 101 to task 200 has the same output edge pointing to task 10101

// task 201 to task 300 has the same output edge pointing to task 10102

// task 10001 to task 10100 has the same output edge pointing to from task 10200

// level 3 : task 10101 to task 10200 has the same output edge pointing to task 10201

auto make_complex_graph(tf::Executor& executor, int r) {

int count = 10202;

std::vector<tf::CachelineAligned<int>> results(count);

std::vector<tf::AsyncTask> tasks_level_1;

std::vector<tf::AsyncTask> tasks_level_2;

std::vector<tf::AsyncTask> tasks_level_3;

// define task 0

auto task0 = executor.silent_dependent_async(

"0", [&results, r](){

results[0].data = 100 + r;

}

);

// define task 1 to task 100

// and push them in the vector tasks_level_1

for (int i = 1; i <= 100; ++i) {

tasks_level_1.push_back(

executor.silent_dependent_async(

[&results, i, r](){

results[i].data = results[0].data + i + r;

task0

)

);

}

// define task 101 to task 10100

// and push them in the vector tasks_level_2

for (int i = 101; i <= 10100; ++i) {

tasks_level_2.push_back(

executor.silent_dependent_async(

[&results, i, r](){

results[i].data = results[(i-1)/100].data + i + r;

std::next(tasks_level_1.begin(), (i-1)/100-1),

std::next(tasks_level_1.begin(), (i-1)/100)

)

);

}

// define task 10101 to task 10200

// and push them in the vector tasks_level_3

for (int i = 10101; i <= 10200; ++i) {

tasks_level_3.push_back(

executor.silent_dependent_async(

[&results, i, r](){

int value = 0;

int beg = i-10101;

beg = (beg+1)*100+1;

for (int j = beg; j < beg+100; ++j) {

value += results[j].data;

}

results[i].data = value + i + r;

std::next(tasks_level_2.begin(),(i-10101)*100),

std::next(tasks_level_2.begin(), (i-10101)*100+100)

)

);

}

// define task 10201

executor.dependent_async(

"10201", [&results, r](){

int value = 0;

for (int i = 10101; i <= 10200; ++i) {

value += results[i].data;

}

results[10201].data = value + 10201 + r;

return results[10201].data;

tasks_level_3.begin(), tasks_level_3.end()

).second.get();

// verify the result

for (int i = 0; i < 10202; ++i) {

if (i == 0) {

REQUIRE(results[i].data == 100 + r);

}

else if (i >= 1 && i <= 100) {

REQUIRE(results[i].data == results[0].data + i + r);

}

else if (i >= 101 && i <= 10100) {

REQUIRE(results[i].data == results[(i-1)/100].data + i + r);

}

else if (i >= 10101 && i <= 10200) {

int value = 0;

int beg = i-10101;

beg = (beg+1)*100+1;

for (int j = beg; j < beg+100; ++j) {

value += results[j].data;

}

REQUIRE(results[i].data == value + i + r);

}

else if (i == 10201) {

int value = 0;

for (int j = 10101; j <= 10200; ++j) {

value += results[j].data;

}

REQUIRE(results[i].data == value + r + 10201);

}

void complex_graph(unsigned W) {

tf::Executor executor(W);

for (int r = 0; r < 10; ++r) {

make_complex_graph(executor, r);

}

TEST_CASE("DependentAsync.ComplexGraph.1thread" * doctest::timeout(300)) {

complex_graph(1);

}

TEST_CASE("DependentAsync.ComplexGraph.2threads" * doctest::timeout(300)) {

complex_graph(2);

}

TEST_CASE("DependentAsync.ComplexGraph.4threads" * doctest::timeout(300)) {

complex_graph(4);

}

TEST_CASE("DependentAsync.ComplexGraph.8threads" * doctest::timeout(300)) {

complex_graph(8);

}

TEST_CASE("DependentAsync.ComplexGraph.16threads" * doctest::timeout(300)) {

complex_graph(16);

}

// ----------------------------------------------------------------------------

// Complex Worker From Worker

// ----------------------------------------------------------------------------

// since make_complex_graph blocks so W must be at least one larger than R

void complex_graph_from_worker(unsigned W, int R) {

tf::Executor executor(W);

tf::Taskflow taskflow;

for(int r=0; r<R; r++) {

taskflow.emplace([&executor, r](){

make_complex_graph(executor, r);

});

}

executor.run(taskflow).wait();

}

TEST_CASE("DependentAsync.ComplexGraphFromWorker.2threads" * doctest::timeout(300)) {

complex_graph_from_worker(2, 1);

}

TEST_CASE("DependentAsync.ComplexGraphFromWorker.4threads" * doctest::timeout(300)) {

complex_graph_from_worker(4, 3);

}

TEST_CASE("DependentAsync.ComplexGraphFromWorker.8threads" * doctest::timeout(300)) {

complex_graph_from_worker(8, 7);

}

TEST_CASE("DependentAsync.ComplexGraphFromWorker.16threads" * doctest::timeout(300)) {

complex_graph_from_worker(16, 10);

}

// ----------------------------------------------------------------------------

// Binary Tree

// ----------------------------------------------------------------------------

void binary_tree(unsigned W) {

size_t L = 16;

tf::Executor executor(W);

std::vector<int> data((size_t{1}<<L), 0);

std::vector<tf::AsyncTask> tasks_p, tasks_c;

std::array<tf::AsyncTask, 1> dep;

size_t task_id = 1;

// iterate all other tasks level by level

for(size_t i=0; i<L; i++) {

for(size_t n=0; n < (size_t{1} << i); n++) {

if(task_id == 1) {

tasks_c.push_back(

executor.silent_dependent_async(

[task_id, &data](){

data[task_id] = 1;

}

)

);

}

else {

dep[0] = tasks_p[n/2];

tasks_c.push_back(

executor.dependent_async(

[task_id, &data](){

data[task_id] = data[task_id/2] + 1;

dep.begin(), dep.end()

).first

);

}

task_id++;

}

tasks_p = std::move(tasks_c);

}

executor.wait_for_all();

task_id = 1;

for(size_t i=0; i<L; i++) {

for(size_t n=0; n < (size_t{1} << i); n++) {

REQUIRE(data[task_id] == i + 1);

//printf("data[%zu]=%d\n", task_id, data[task_id]);

task_id++;

}

TEST_CASE("DependentAsync.BinaryTree.1thread" * doctest::timeout(300)) {

binary_tree(1);

}

TEST_CASE("DependentAsync.BinaryTree.2threads" * doctest::timeout(300)) {

binary_tree(2);

}

TEST_CASE("DependentAsync.BinaryTree.3threads" * doctest::timeout(300)) {

binary_tree(3);

}

TEST_CASE("DependentAsync.BinaryTree.4threads" * doctest::timeout(300)) {

binary_tree(4);

}

TEST_CASE("DependentAsync.BinaryTree.8threads" * doctest::timeout(300)) {

binary_tree(8);

}

TEST_CASE("DependentAsync.BinaryTree.16threads" * doctest::timeout(300)) {

binary_tree(16);

}

// ----------------------------------------------------------------------------

// Linear Chain with Complete Dependencies (N choose 2)

// ----------------------------------------------------------------------------

void complete_linear_chain(unsigned W) {

tf::Executor executor0(W);

tf::Executor executor1(W);

int N = 2000;

std::vector<tf::CachelineAligned<int>> results(2*N);

std::vector<tf::AsyncTask> tasks;

// executor 0

for (int i = 0; i < N; ++i) {

if (i == 0) {

auto t = executor0.silent_dependent_async(

[&results, i](){

results[i].data = i+1;

}

);

tasks.push_back(t);

}

else {

auto t = executor0.silent_dependent_async(

[&results, i](){

results[i].data = results[i-1].data + i;

}, tasks.begin(), tasks.end()

);

tasks.push_back(t);

}

executor0.wait_for_all();

REQUIRE(results[0].data == 1);

for (int i = 1; i < N; ++i) {

REQUIRE(results[i].data == results[i-1].data + i);

}

tasks.clear();

// executor 1

for (int i = 0; i < N; ++i) {

if (i == 0) {

auto t = executor1.silent_dependent_async(

[&results, i, N](){

results[i+N].data = results[i-1+N].data + i;

}

);

tasks.push_back(t);

}

else {

auto t = executor1.silent_dependent_async(

[&results, i, N](){

results[i+N].data = results[i-1+N].data + i;

}, tasks.begin(), tasks.end()

);

tasks.push_back(t);

}

executor1.wait_for_all();

REQUIRE(results[0+N].data == results[0+N-1].data);

for (int i = 1; i < N; ++i) {

REQUIRE(results[i+N].data == results[i-1+N].data + i);

}

TEST_CASE("DependentAsync.CompleteLinearChain.1thread" * doctest::timeout(300)) {

complete_linear_chain(1);

}

TEST_CASE("DependentAsync.CompleteLinearChain.2threads" * doctest::timeout(300)) {

complete_linear_chain(2);

}

TEST_CASE("DependentAsync.CompleteLinearChain.4threads" * doctest::timeout(300)) {

complete_linear_chain(4);

}

TEST_CASE("DependentAsync.CompleteLinearChain.8threads" * doctest::timeout(300)) {

complete_linear_chain(8);

}

TEST_CASE("DependentAsync.CompleteLinearChain.16threads" * doctest::timeout(300)) {

complete_linear_chain(16);

}

// ----------------------------------------------------------------------------

// Parallel Graph Construction

// ----------------------------------------------------------------------------

// multiple workers to construct a pascal diagram simultaneously

// 0 1 2 3

// |/|/| /

// 4 5 6

// |/| /

// 7 8

// |/

// 9

void parallel_graph_construction(unsigned W) {

tf::Taskflow taskflow;

tf::Executor executor(W);

int L = 500;

int id = 0;

std::vector<tf::Task> tasks((1+L)*L/2);

std::vector<int> data((1+L)*L/2, -1);

std::vector<tf::AsyncTask> async_tasks((1+L)*L/2);

for(int l=L; l>=1; l--) {

for(int i=0; i<l; i++) {

int pr = id - l;

int pl = id - l - 1;

tasks[id] = taskflow.emplace([&, pr, pl, id](){

if(pl >= 0 && pr >= 0) {

REQUIRE(async_tasks[pl].empty() == false);

REQUIRE(async_tasks[pr].empty() == false);

async_tasks[id] = executor.silent_dependent_async([&, pr, pl, id](){

REQUIRE(data[pr] == pr);

REQUIRE(data[pl] == pl);

data[id] = id;

}, async_tasks[pl], async_tasks[pr]);

}

else {

async_tasks[id] = executor.silent_dependent_async([&, id](){

data[id] = id;

});

}

}).name(std::to_string(id));

if(pr >= 0) {

tasks[id].succeed(tasks[pr]);

}

if(pl >= 0) {

tasks[id].succeed(tasks[pl]);

}

++id;

}

executor.run(taskflow);

executor.wait_for_all();

}

TEST_CASE("DependentAsync.ParallelGraphConstruction.1thread" * doctest::timeout(300)) {

parallel_graph_construction(1);

}

TEST_CASE("DependentAsync.ParallelGraphConstruction.2threads" * doctest::timeout(300)) {

parallel_graph_construction(2);

}

TEST_CASE("DependentAsync.ParallelGraphConstruction.4threads" * doctest::timeout(300)) {

parallel_graph_construction(4);

}

TEST_CASE("DependentAsync.ParallelGraphConstruction.8threads" * doctest::timeout(300)) {

parallel_graph_construction(8);

}

TEST_CASE("DependentAsync.ParallelGraphConstruction.16threads" * doctest::timeout(300)) {

parallel_graph_construction(16);

}

// ----------------------------------------------------------------------------

// Iterative Fibonacci

// ----------------------------------------------------------------------------

std::vector<unsigned long long int> fibonacci{0,1,1,2,3,5,8,13,21,34,55,89,144,233,377,610,987,1597,2584,4181,6765,10946,17711,28657,46368,75025,121393,196418,317811,514229,832040,1346269,2178309,3524578,5702887,9227465,14930352,24157817,39088169,63245986,102334155,165580141,267914296,433494437,701408733,1134903170,1836311903,2971215073,4807526976,7778742049,12586269025,20365011074,32951280099,53316291173,86267571272,139583862445,225851433717,365435296162,591286729879,956722026041,1548008755920,2504730781961,4052739537881,6557470319842,10610209857723,17167680177565,27777890035288,44945570212853,72723460248141,117669030460994,190392490709135,308061521170129,498454011879264,806515533049393,1304969544928657,2111485077978050,3416454622906707,5527939700884757,8944394323791464,14472334024676221,23416728348467685,37889062373143906,61305790721611591,99194853094755497,160500643816367088,259695496911122585,420196140727489673,679891637638612258,1100087778366101931,1779979416004714189,2880067194370816120,4660046610375530309,7540113804746346429};

void iterative_fibonacci(unsigned W) {

tf::Executor executor(W);

std::vector<tf::AsyncTask> tasks;

unsigned long long int val_n_1 = 0, val_n_2 = 0;

for (int i = 0; i <= 92; ++i) {

if (i < 2) {

auto [t, fut] = executor.dependent_async([i](){ return i; });

tasks.push_back(t);

val_n_2 = val_n_1;

val_n_1 = fut.get();

}

else {

auto [t, fut] = executor.dependent_async([val_n_1, val_n_2](){

return val_n_2 + val_n_1;

}, tasks[i-1], tasks[i-2]);

tasks.push_back(t);

val_n_2 = val_n_1;

val_n_1 = fut.get();

}

REQUIRE(val_n_1 == fibonacci[i]);

}

TEST_CASE("DependentAsync.IterativeFibonacci.1thread" * doctest::timeout(300)) {

iterative_fibonacci(1);

}

TEST_CASE("DependentAsync.IterativeFibonacci.2threads" * doctest::timeout(300)) {

iterative_fibonacci(2);

}

TEST_CASE("DependentAsync.IterativeFibonacci.4threads" * doctest::timeout(300)) {

iterative_fibonacci(4);

}

TEST_CASE("DependentAsync.IterativeFibonacci.8threads" * doctest::timeout(300)) {

iterative_fibonacci(8);

}

// ----------------------------------------------------------------------------

// Recursive Fibonacci

// ----------------------------------------------------------------------------

void recursive_fibonacci(unsigned W) {

tf::Executor executor(W);

std::function<int(int)> fib;

fib = [&](int N) -> int {

if (N < 2) {

return N;

}

std::future<int> fu1, fu2;

tf::AsyncTask t1, t2;

std::tie(t1, fu1) = executor.dependent_async([=, &fib](){ return fib(N-1); });

std::tie(t2, fu2) = executor.dependent_async([=, &fib](){ return fib(N-2); });

executor.corun_until([&](){ return t1.is_done() && t2.is_done(); });

return fu1.get() + fu2.get();

};

for (int i = 0; i <= 11; ++i) {

auto [tn, fun] = executor.dependent_async([=, &fib]() { return fib(i); });

REQUIRE(fun.get() == fibonacci[i]);

}

TEST_CASE("DependentAsync.RecursiveFibonacci.1thread" * doctest::timeout(300)) {

recursive_fibonacci(1);

}

TEST_CASE("DependentAsync.RecursiveFibonacci.2threads" * doctest::timeout(300)) {

recursive_fibonacci(2);

}

TEST_CASE("DependentAsync.RecursiveFibonacci.4threads" * doctest::timeout(300)) {

recursive_fibonacci(4);

}

TEST_CASE("DependentAsync.RecursiveFibonacci.8threads" * doctest::timeout(300)) {

recursive_fibonacci(8);

}

// ----------------------------------------------------------------------------

// Mixed Algorithm with Dependent Async

// ----------------------------------------------------------------------------

void mixed_algorithms_with_dependent_async(unsigned W) {

size_t N = 65536;

tf::Executor executor(W);

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taskflow/unittests/test_dependent_asyncs.cpp at task_isolation · ModuleWorks/taskflow · GitHub

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