About
Essential Resources
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SYCL v1.2.1 Specification
Click here to read or download the full Khronos® specification for SYCL™ 1.2.1 in PDF format.
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Browse Implementations
Click here to find out where to get all the available SYCL implementations from.
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Conformance Test Suite
The test suite is open source and hosted on GitHub. Contributions from the community to the CTS are welcome.
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SYCL Working Group
Visit the SYCL™ Khronos® working-group's home page to learn more about the SYCL technology.
News
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2019-09-01 13:34:07 +0100
Optimizing Your SYCL Code Using Profiling
Profiling is an important activity when optimizing any application, it can help to pinpoint where the most time is being spent and identify where improvements can be made that will have the biggest impact on performance. This article will provide guidance on how to profile SYCL applications.
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2019-08-26 11:17:49 +0100
Intel SYCL Compiler/Runtimes Updated With Unified Shared Memory Support
Intel has released a new version of their SYCL compiler and run-time code for single-source C++ programming and allowing offloaded computations to accelerators via OpenCL.
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2019-07-30 09:01:06 +0100
Intel's LLVM-Based SYCL Compiler Continues Taking Shape
hile a bit quiet over the summer months and their Data Parallel C++ announcement was recently made, Intel’s LLVM-based SYCL compiler continues maturing and picking up new features as the beta roll-out of oneAPI is expected in Q4.
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2019-07-12 15:55:55 +0100
Enabling Polymorphism in SYCL using the C++ idiom CRTP
The CRTP idiom offers an alternative approach to polymorphism by providing us with the ability to specify static interfaces, where the base class specifies the the structure of the interface, while the derived one represents the implementation. In this case, the base class does represent the interface and the derived class represents the implementation — similar to the general idea of polymorphism.
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2019-07-01 09:26:09 +0100
ReSYCLator: Transforming CUDA C++ source code into SYCL
CUDA while very popular, is not as flexible with respect to target devices as OpenCL. While parallel algorithm research might address problems first with a CUDA C++ solution, those results are not easily portable to a target not directly supported by CUDA. In contrast, a SYCL C++ solution can operate on the larger variety of platforms supported by OpenCL. ReSYCLator is a plug-in for the C++ IDE Cevelop[2], that is itself an extension of Eclipse-CDT. ReSYCLator bridges the gap between algorithm availability and portability, by providing automatic transformation of CUDA C++ code to SYCL C++. A first attempt basing the transformation on NVIDIA’s Nsight Eclipse CDT plug-in showed that Nsight’s weak integration into CDT’s static analysis and refactoring infrastructure is insufficient. Therefore, an own CUDA-C++ parser and CUDA language support for Eclipse CDT was developed (CRITTER) that is a sound platform for transformations from CUDA C++ programs to SYCL based on AST transformations.
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Get SYCL
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ComputeCpp™
ComputeCpp is SYCL v1.2.1 conformant. It is Codeplay Software's implementation of the standard and is available to download today.
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triSYCL
triSYCL is an open-source implementation test-bed to experiment with the specification of the OpenCL SYCL 2.2 C++ layer and to give feedback to the Khronos group.
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HipSYCL
The goal of the hipSYCL project is to develop a SYCL 1.2.1 implementation that builds upon NVIDIA CUDA/AMD HIP.
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LLVM SYCL
The SYCL* Compiler compiles C++-based SYCL source files with code for both CPU and a wide range of compute accelerators.
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