matrix_lu is a simple program that calculates LU-decomposition of a large matrix and verifies the results. This program is implemented using three ways:
1. Data Parallel C++ (DPC++)
2. OpenMP (omp)
3. Block decomposition
For comprehensive instructions regarding DPC++ Programming, go to https://software.intel.com/en-us/oneapi-programming-guide and search based on relevant terms noted in the comments.
| Optimized for | Description |
|---|---|
| OS | Linux* Ubuntu* 18.04, Windows 10* |
| Hardware | Skylake with GEN9 or newer |
| Software | Intel® oneAPI DPC++ Compiler beta, Intel® C/C++ Compiler beta |
| What you will learn | Offloads computations on 2D arrays to GPU using Intel DPC++ and OpenMP |
| Time to complete | 15 minutes |
The code will attempt to run the calculation on both the GPU and CPU, and then verifies the results. The size of the computation can be adjusted for heavier workloads (defined below). If successful, the name of the offload device and a success message are displayed.
This sample uses buffers to manage memory.
matrix_lu includes C++ implementations of both Data Parallel (DPC++) and OpenMP; each is contained in its own .cpp file. This provides a way to compare existing offload techniques such as OpenMP with Data Parallel C++ within a relatively simple sample. The default will build the DPC++ application. Separate OpenMP build instructions are provided below. Note: matrix_lu does not support OpenMP on Windows.
The code will attempt first to execute on an available GPU and fallback to the system's CPU if a compatible GPU is not detected. The device used for compilation is displayed in the output.
SYCL implementation explained. OpenMP offload implementation explained.
This code sample is licensed under MIT license.
-
Build the program using Make
cd matrix_lu &&
make all -
Run the program
make run -
Clean the program
make clean
You can modify the size of the computation by adjusting the size parameter in the dpcpp and omp .cpp files. The configurable parameters include: size = N = 2500;