updated README

tsung-wei-huang · tsung-wei-huang · commit 747f48aefe96 · 2018-05-31T14:48:56.000-05:00
diff --git a/README.md b/README.md
@@ -233,6 +233,12 @@ Alternatively, you can use CMake's testing framework to run the unittest.
 ## Examples
 The folder `example/` contains several examples and is a great place to learn to use Cpp-Taskflow.
 
+| Example |  What you will learn |
+| ------- |  ----------- |
+| [simple.cpp](./example/simple.cpp) | create a trivial taskflow graph |
+| [matrix.cpp](./example/matrix.cpp) | create two set of matrices and multiply each in parallel |
+| [parallel_for.cpp](./example/parallel_for.cpp)| parallelize a for loop with unbalanced workload |
+
 # Get Involved
 + Report bugs/issues by submitting a [Github issue][Github issues].
 + Submit contributions using [pull requests][Github pull requests].
diff --git a/example/matrix.cpp b/example/matrix.cpp
@@ -117,21 +117,21 @@ void openmp(const std::vector<size_t>& D) {
 
   std::cout << "Generating matrix As ...\n";
   std::vector<matrix_t> As(D.size());
-  #pragma omp parallel for num_threads(4)
+  #pragma omp parallel for
   for(size_t j=0; j<D.size(); ++j) {
     As[j] = random_matrix(D[j]);
   }
   
   std::cout << "Generating matrix Bs ...\n";
   std::vector<matrix_t> Bs(D.size());
-  #pragma omp parallel for num_threads(4)
+  #pragma omp parallel for
   for(size_t j=0; j<D.size(); ++j) {
     Bs[j] = random_matrix(D[j]);
   }
   
   std::cout << "Computing matrix product values Cs ...\n";
   std::vector<matrix_t> Cs(D.size());
-  #pragma omp parallel for num_threads(4)
+  #pragma omp parallel for
   for(size_t j=0; j<D.size(); ++j) {
     Cs[j] = As[j] * Bs[j];
   }
@@ -150,7 +150,7 @@ void cppthread(const std::vector<size_t>& D) {
 
   auto tbeg = std::chrono::steady_clock::now();
 
-  tf::Threadpool tpl(4);
+  tf::Threadpool tpl(std::thread::hardware_concurrency());
 
   std::cout << "Generating matrix As ...\n";
   std::vector<matrix_t> As(D.size());
@@ -197,7 +197,7 @@ void taskflow(const std::vector<size_t>& D) {
 
   using builder_t  = typename tf::Taskflow::Task;
 
-  tf::Taskflow tf(4);
+  tf::Taskflow tf;
   
   std::cout << "Generating task As ...\n";
   std::vector<matrix_t> As(D.size());
