This repository accompanies Data Parallel C++: Programming Accelerated Systems using C++ and SYCL by James Reinders, Ben Ashbaugh, James Brodman, Michael Kinsner, John Pennycook, Xinmin Tian second edition (Apress, 2023), and the first edition (Apress, 2020).
This branch (main) contains source code expanded from the Second Edition of the DPC++ book (available now!). We say 'expanded' because they include code not listed in the book, and we will update it as needed to keep it useful - as we did after the first edition was published. We welcome feedback. The sycl121_original_publication branch contains the source code published in the first edition. The first edition's book source was primarily based on the older SYCL 1.2.1 specification, and many enhancements and changes were added by the time the SYCL 2020 specification was published after our book. Since current toolchains which support SYCL are based on SYCL 2020, this main branch is intended to be compatible with recent compiler and toolchain releases.
The Second Edition of the DPC++ book, available now, is based on the updated code examples in this main branch.
Many of the samples in the book are snips from the more complete files in this repository. The full files contain supporting code, such as header inclusions, which are not shown in every listing within the book. The complete listings are intended to compile and be modifiable for experimentation.
Samples in this repository are updated to align with the most recent changes to the language and toolchains, and are more current than captured in the book text due to lag between finalization and actual publication of a print book. If experimenting with the code samples, start with the versions in this repository. DPC++ and SYCL are evolving to be more powerful and easier to use, and updates to the sample code in this repository are a good sign of forward progress!
Download the files as a zip using the green button, or clone the repository to your machine using Git.
The samples in this repository are intended to compile with any modern C++ with SYCL compiler. We have tested it with the open source DPC++ project toolchain linked below, and with the 2023.2 release and newer of the oneAPI prebuilt icpx compilers based on the DPC++ open source project. If you have an older toolchain installed, you may encounter compilation errors due to evolution of the features and extensions. Recent testing verified that AdaptiveCpp (previously HipSYCL), with a few rare exceptions that should be resolved soon, is able to support all these examples as well. We will welcome any feedback regarding compatibility with any C++ compiler that has SYCL support.
- An installed SYCL toolchain. See below for details on the tested DPC++ toolchain
- CMake 3.10 or newer (Linux) or CMake 3.25 or newer (Windows)
- Ninja or Make - to use the build steps described below
To build and use these examples, you will need an installed DPC++ toolchain. For one such toolchain, please visit:
https://software.intel.com/content/www/us/en/develop/tools/oneapi/components/dpc-compiler.html
Alternatively, much of the toolchain can be built directly from:
https://github.com/intel/llvm
Some of the samples require other dependencies. To disable samples requiring these dependencies use the CMake variables described below.
Setup environment variables if using a oneAPI / DPC++ implementation:
On Windows:
\path\to\inteloneapi\setvars.bat
On Linux:
source /path/to/inteloneapi/setvars.sh
Note: CMake supports different generators to create build files for different build systems. Some popular generators are
Unix Makefiles
orNinja
when building from the command line, andVisual Studio
-based generators when building from a Windows IDE. The examples below generate build files forUnix Makefiles
, but feel free to substitute a different generator, if preferred.
-
Create build files using CMake. For example:
mkdir build && cd build cmake -G "Unix Makefiles" ..
-
Build with the generated build files:
cmake --build . --target install --parallel
Or, use the generated Makefiles directly:
make install -j8
If your SYCL compiler is not detected automatically, or to explicitly specify a different SYCL compiler, use the CMAKE_CXX_COMPILER
variable. For example:
cmake -G "Unix Makefiles" -DCMAKE_CXX_COMPILER=/path/to/your/sycl/compiler ..
The following CMake variables are supported. To specify one of these variables
via the command line generator, use the CMake syntax -D<option name>=<value>
.
See your CMake documentation for more details.
Variable | Type | Description |
---|---|---|
NODPL | BOOL | Disable samples that require the oneAPI DPC++ Library (oneDPL). Default: FALSE |
NODPCT | BOOL | Disable samples that require the DPC++ Compatibility Tool (dpct). Default: FALSE |
NOL0 | BOOL | Disable samples that require the oneAPI Level Zero Headers and Loader. Default: TRUE |
WITHCUDA | BOOL | Enable CUDA device support for the samples. Default: FALSE |