Skip to content

Latest commit

 

History

History
67 lines (46 loc) · 2.31 KB

README.md

File metadata and controls

67 lines (46 loc) · 2.31 KB

Source Code for the Exercises and Solutions

Introduction

Please checkout the repository using git with the following command:

git clone git://github.com/HandsOnOpenCL/Exercises-Solutions.git

Found any issues or have some comments? Please submit a bug report in the Issue tab.

Pre-requisites

  • OpenCL 1.1 (or greater)
  • Python 2.7 (or greater)
  • C99 compiler (we use gcc) with OpenMP support (used for timing the runs [optional])
  • C++11 compiler (we use g++)

Need help setting up OpenCL? Check out the first section in the lecture slides for information about setting up OpenCL on Linux for AMD (CPU, GPU, APU), Intel CPUs and NVIDIA GPUs.

Building

We assume here that your current working directory is the location of the source code; e.g. /path/to/Exercises-Solutions/Solutions/Exercise04/C

Python

Just run python source.py to run the code.

C

You must first run make to build the binary. We assume that your environment is set up to find the OpenCL library; if you have trouble try export CPATH=/path/to/OpenCL/include and export LD_LIBRARY_PATH=/path/to/OpenCL/lib.

You can also run make in the Examples/ and Solutions/ high-level directory; this calls all the sub-directory make files so all the examples can be built in one command.

Define the variable DEVICE in the Makefiles to be one of the OpenCL device types to vary the device type the C applications use. This can be done easily in the two global Makefiles found in the Exercises and Solutions directories. To use a GPU, for example, change the line DEVICE = CL_DEVICE_TYPE_DEFAULT to DEVICE=CL_DEVICE_TYPE_GPU.

Note: you can also edit each of the source files to use a specific device type, but we would recommend using the global Makefile method above.

Directory structure

The Exercises directory contains all the code needed to be handed out at the start of the tutorial for the exercises to be completed.

The Solutions directory contains sample code providing an example implementation which solves the exercises in the lecture notes.

Each directory contains a subdirectory for each of the exercises. Each of these contains an implementation of the exercise or solution in C, C++ and Python.