CUDA vs. SYCL Comparison


CUDA NVIDIA	SYCL The Khronos Group	+	+
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About CUDA® is a parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units (GPUs). With CUDA, developers are able to dramatically speed up computing applications by harnessing the power of GPUs. In GPU-accelerated applications, the sequential part of the workload runs on the CPU – which is optimized for single-threaded performance – while the compute intensive portion of the application runs on thousands of GPU cores in parallel. When using CUDA, developers program in popular languages such as C, C++, Fortran, Python and MATLAB and express parallelism through extensions in the form of a few basic keywords. The CUDA Toolkit from NVIDIA provides everything you need to develop GPU-accelerated applications. The CUDA Toolkit includes GPU-accelerated libraries, a compiler, development tools and the CUDA runtime.	About SYCL is an open, royalty-free, cross-platform programming standard defined by the Khronos Group that enables heterogeneous and offload computing in modern ISO C++ by providing a single-source abstraction layer where host and device code coexist in the same C++ source and can target a wide range of devices such as CPUs, GPUs, FPGAs, and other accelerators. It is a C++ API and abstraction designed to make heterogeneous computing more productive and portable by using standard language features such as templates, inheritance, and lambda expressions so developers can write and manage data and execution across diverse hardware without resorting to proprietary languages or extensions. SYCL builds on concepts of underlying acceleration backends like OpenCL and allows integration with other technologies while providing a consistent language, APIs, and ecosystem for locating devices, managing data, and executing kernels.
Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Not Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Developers interested in a powerful parallel computing platform and programming model	Audience Developers and engineers building high-performance applications for heterogeneous hardware who need a standard C++ programming model for parallel and accelerator computing
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Not Supported	Support Phone Support Supported 24/7 Live Support Not Supported Online Supported
API Offers API Not Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing Free Free Version Supported Free Trial Not Supported	Pricing No information available. Free Version Not Supported Free Trial Not Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software

Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information NVIDIA Founded: 1993 United States developer.nvidia.com/cuda-zone	Company Information The Khronos Group Founded: 2000 United States www.khronos.org
Alternatives oneAPI Intel	Alternatives OpenCL The Khronos Group
NVIDIA NIM NVIDIA	Rocket Data Virtualization Rocket Software
OpenCL The Khronos Group	Bright Cluster Manager NVIDIA
NVIDIA HPC SDK NVIDIA	Codename One
Linaro Forge Linaro View All	WebGL KHRONOS View All
Categories Application Development Supported	Categories Application Development Supported

Integrations C++ Supported AWS Marketplace Supported Amazon EC2 G4 Instances Supported Amp Supported Anaconda Supported C Supported Code Metal Supported Cody Supported Copernicus Computing Supported Coverity Static Analysis Supported Fortran Supported JarvisLabs.ai Supported MATLAB Supported NVIDIA Brev Supported NVIDIA Isaac Supported NVIDIA Jetson Supported NodeShift Supported Pruna AI Supported Thunder Compute Supported Vast.ai Supported Show More Integrations View All 33 Integrations	Integrations C++ Supported AWS Marketplace Not Supported Amazon EC2 G4 Instances Not Supported Amp Not Supported Anaconda Not Supported C Not Supported Code Metal Not Supported Cody Not Supported Copernicus Computing Not Supported Coverity Static Analysis Not Supported Fortran Not Supported JarvisLabs.ai Not Supported MATLAB Not Supported NVIDIA Brev Not Supported NVIDIA Isaac Not Supported NVIDIA Jetson Not Supported NodeShift Not Supported Pruna AI Not Supported Thunder Compute Not Supported Vast.ai Not Supported Show More Integrations View All 1 Integration
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