OpenCL

OpenCL

The Khronos Group
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About

OpenCL (Open Computing Language) is an open, royalty-free standard for cross-platform parallel programming of heterogeneous computing systems that lets developers accelerate computing tasks by leveraging diverse processors such as CPUs, GPUs, DSPs, and FPGAs across supercomputers, cloud servers, personal computers, mobile devices, and embedded platforms. It defines a programming framework including a C-based language for writing compute kernels and a runtime API to control devices, manage memory, and execute parallel code, giving portable and efficient access to heterogeneous hardware. OpenCL improves speed and responsiveness for a wide range of applications including creative tools, scientific and medical software, vision processing, and neural network training and inferencing by offloading compute-intensive work to accelerator processors.

About

The Xilinx’s AI development platform for AI inference on Xilinx hardware platforms consists of optimized IP, tools, libraries, models, and example designs. It is designed with high efficiency and ease-of-use in mind, unleashing the full potential of AI acceleration on Xilinx FPGA and ACAP. Supports mainstream frameworks and the latest models capable of diverse deep learning tasks. Provides a comprehensive set of pre-optimized models that are ready to deploy on Xilinx devices. You can find the closest model and start re-training for your applications! Provides a powerful open source quantizer that supports pruned and unpruned model quantization, calibration, and fine tuning. The AI profiler provides layer by layer analysis to help with bottlenecks. The AI library offers open source high-level C++ and Python APIs for maximum portability from edge to cloud. Efficient and scalable IP cores can be customized to meet your needs of many different applications.

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

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

Software developers and engineers building high-performance parallel applications that need portable, cross-platform computing across diverse processors

Audience

Developers requiring an adaptable and real-time AI inference acceleration solution to build accelerated applications

Support

Phone Support Supported
24/7 Live Support Not Supported
Online 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

Screenshots and Videos

Pricing

No information available.
Free Version Not 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:

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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 Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Supported

Company Information

The Khronos Group
Founded: 2000
United States
www.khronos.org

Company Information

Xilinx
Founded: 1984
United States
www.xilinx.com/products/design-tools/vitis/vitis-ai.html

Alternatives

SYCL

SYCL

The Khronos Group

Alternatives

Mojo

Mojo

Modular
oneAPI

oneAPI

Intel

Categories

Categories

AI Development Supported
AI Fine-Tuning Supported
AI Inference Supported
Machine Learning Supported

Integrations

Allegro X Design Platform Not Supported
Amazon Web Services (AWS) Not Supported
C Supported
C++ Supported
GitHub Supported
Google Supported
LDRA Tool Suite Not Supported
ModelSim Not Supported
OrCAD X Not Supported
Pulsonix Not Supported
Rapita Verification Suite Not Supported
TensorFlow Not Supported
ZEDEDA Not Supported

Integrations

Allegro X Design Platform Supported
Amazon Web Services (AWS) Supported
C Not Supported
C++ Not Supported
GitHub Not Supported
Google Not Supported
LDRA Tool Suite Supported
ModelSim Supported
OrCAD X Supported
Pulsonix Supported
Rapita Verification Suite Supported
TensorFlow Supported
ZEDEDA Supported
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