CUDA

CUDA

NVIDIA
SYCL

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
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

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
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

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

oneAPI

Intel

Alternatives

OpenCL

OpenCL

The Khronos Group
NVIDIA NIM

NVIDIA NIM

NVIDIA
OpenCL

OpenCL

The Khronos Group

Categories

Categories

Integrations

C++
AWS Marketplace
Amp
Axivion Static Code Analysis
Azure Marketplace
Clore.ai
Cody
Coverity Static Analysis
Fortran
JarvisLabs.ai
MATLAB
NVIDIA Jetson
NVIDIA Magnum IO
NVIDIA TensorRT
NodeShift
Python
RightNow AI
Skyportal
Thunder Compute
VMware Private AI Foundation

Integrations

C++
AWS Marketplace
Amp
Axivion Static Code Analysis
Azure Marketplace
Clore.ai
Cody
Coverity Static Analysis
Fortran
JarvisLabs.ai
MATLAB
NVIDIA Jetson
NVIDIA Magnum IO
NVIDIA TensorRT
NodeShift
Python
RightNow AI
Skyportal
Thunder Compute
VMware Private AI Foundation
Claim CUDA and update features and information
Claim CUDA and update features and information
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Claim SYCL and update features and information