Skip to content

updates to lesson 6 + readme build line #63

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
kab163 merged 1 commit into from
Jul 22, 2025
Merged

updates to lesson 6 + readme build line #63

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
11 changes: 5 additions & 6 deletions Intro_Tutorial/lessons/06_raja_umpire_host_device/06_raja_umpire_host_device.cpp
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -29,12 +29,11 @@ int main()
a_h = static_cast<double*>(host_allocator.allocate(N*sizeof(double)));
b_h = static_cast<double*>(host_allocator.allocate(N*sizeof(double)));

//TODO: fill in the forall statement with the CUDA execution policy.
//TODO: and its block size argument. Then be sure to use RAJA_DEVICE
RAJA::forall< ????? < ?????> >(
RAJA::TypedRangeSegment<int>(0, N), [=] ????? (int i) {
a[i] = 1.0;
b[i] = 1.0;
//TODO: fill in the forall statement with the sequential execution policy.
RAJA::forall< ????? >(
RAJA::TypedRangeSegment<int>(0, N), [=] (int i) {
a_h[i] = 1.0;
b_h[i] = 1.0;
}
);

Expand Down
7 changes: 3 additions & 4 deletions Intro_Tutorial/lessons/06_raja_umpire_host_device/06_raja_umpire_host_device_solution.cpp
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -28,10 +28,9 @@ int main()
a_h = static_cast<double*>(host_allocator.allocate(N*sizeof(double)));
b_h = static_cast<double*>(host_allocator.allocate(N*sizeof(double)));

//TODO: fill in the forall statement with the CUDA execution policy.
//TODO: and its block size argument. Then be sure to use RAJA_DEVICE
RAJA::forall< RAJA::cuda_exec<CUDA_BLOCK_SIZE>>(
RAJA::TypedRangeSegment<int>(0, N), [=] RAJA_DEVICE (int i) {
//TODO: fill in the forall statement with the sequential execution policy.
RAJA::forall<RAJA::seq_exec>(
RAJA::TypedRangeSegment<int>(0, N), [=] (int i) {
a_h[i] = 1.0;
b_h[i] = 1.0;
}
Expand Down
8 changes: 4 additions & 4 deletions Intro_Tutorial/lessons/06_raja_umpire_host_device/README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -37,7 +37,7 @@ memory resources at the bottom of this README!
Now, let's learn how to use Umpire's operations to copy data
between CPU and GPU memory in a portable way, using Umpire's memory resources.

In `07_raja_umpire_host_device.cpp`, we create an allocator for the GPU with:
In `06_raja_umpire_host_device.cpp`, we create an allocator for the GPU with:
```
auto allocator = rm.getAllocator("DEVICE");
```
Expand Down Expand Up @@ -66,7 +66,7 @@ void umpire::ResourceManager::copy (void* dst_ptr, void * src_ptr, std::size_t s

*Note:* The destination is the first argument.

In the file `07_raja_umpire_host_device.cpp`, there is a `TODO` comment where you should insert two copy
In the file `06_raja_umpire_host_device.cpp`, there is a `TODO` comment where you should insert two copy
calls to copy data from the CPU memory to the DEVICE memory.

You will also find that we are adjusting the `RAJA::forall` to now work on the GPU.
Expand All @@ -88,8 +88,8 @@ be sure to check out the links at the bottom of this README.
When you are done editing the file, compile and run it:

```
$ make 07_raja_umpire_host_device
$ ./bin/07_raja_umpire_host_device
$ make 06_raja_umpire_host_device
$ ./bin/06_raja_umpire_host_device
```
Want to learn more about Umpire memory resources? Check out the list below! You can also learn
more by going to our online documentation on
Expand Down
2 changes: 1 addition & 1 deletion README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -54,7 +54,7 @@ cmake -DCMAKE_CXX_COMPILER=g++ -DBLT_CXX_STD=c++17 -DENABLE_CUDA=Off -DENABLE_OP
module load cmake/3.23.1
module load gcc/8.3.1
module load cuda/11.2.0
cmake -DBLT_CXX_STD=c++14 -DENABLE_CUDA=On -DENABLE_OPENMP=On -DCMAKE_CUDA_ARCHITECTURES=70 -DCMAKE_CUDA_COMPILER=/usr/tce/packages/cuda/cuda-11.2.0/bin/nvcc -DCUDA_TOOLKIT_ROOT_DIR=/usr/tce/packages/cuda/cuda-11.2.0 -DCMAKE_CUDA_FLAGS=--extended-lambda -DRAJA_ENABLE_EXERCISES=Off -DCMAKE_BUILD_TYPE=Release ..
cmake -DBLT_CXX_STD=c++17 -DENABLE_CUDA=On -DENABLE_OPENMP=On -DCMAKE_CUDA_ARCHITECTURES=70 -DCMAKE_CUDA_COMPILER=/usr/tce/packages/cuda/cuda-11.2.0/bin/nvcc -DCUDA_TOOLKIT_ROOT_DIR=/usr/tce/packages/cuda/cuda-11.2.0 -DCMAKE_CUDA_FLAGS=--extended-lambda -DRAJA_ENABLE_EXERCISES=Off -DCMAKE_BUILD_TYPE=Release ..
```

License
Expand Down