The sections in this guide detail how to program heterogeneous hardware using SYCL and ComputeCpp. The guide can be read sequentially or you can read individual chapters which are mostly independent. It provides a comprehensive overview of SYCL usage and its various features. If instead you prefer to dive straight into code samples for a hands-on approach, you can head on to the Getting Started Guide for setup instructions or browse the sample code on our GitHub repository: ComputeCpp SDK repository.
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history1.1.0
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- arrow_forwardGetting Started
- arrow_forwardRelease Notes
- subdirectory_arrow_rightPlatform Support
- arrow_forwardWhat is SYCL
- subdirectory_arrow_rightSYCL Guide
- arrow_forwardAnatomy of a ComputeCpp App
- arrow_forwardFrameworks for ComputeCpp
- arrow_forwardSample Code
- arrow_forwardError Codes
- arrow_forwardLogging
- arrow_forwardCompute++ Compiler
- arrow_forwardIntegration Guide
- subdirectory_arrow_rightSYCL for CUDA Developers
- subdirectory_arrow_rightTensorFlow Guide
- subdirectory_arrow_rightEigen Guide
Please note that you are viewing a guide targeting an older version
of ComputeCpp™ Community Edition.
This guide was designed for version 1.1.0.
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