README.md

Exercise 5: Parallel Loop

Objective

The goal of this exercise is to manipulate the Kokkos parallel reduction.

Step 1: create a 2D matrix

• Open the file main.cpp
• Create a 2D matrix of size Nx x Ny of type double
• Initialize the matrix with the values of your choice using Kokkos::parallel_for and Kokkos::MDRangePolicy with the default execution space

Step 2: compute the sum of the matrix

• Use the Kokkos::parallel_reduce to compute the sum of the matrix
• Add the code to print the result

Step 3: compute the maximum of the matrix

• Use Kokkos::parallel_reduce and the reducer Kokkos::Max to compute the max element
• Add the code to print the result

Step 4: compile and run the program

• Compile the program using the OpenMP backend and run it. Check the output.
• If you can access a GPU, compile the program using a GPU backend and run it. Check the output and compare them with the OpenMP backend.

Optional Step: timers

• Add timers to measure the time spent to compute the sum and the max of the matrix.
• Analyze the time spent on CPU and GPU for different Matrix sizes.