Project Summary
Compute Library for Deep Neural Networks (clDNN) is an open source performance library for Deep Learning (DL) applications intended for acceleration of DL inference on Intel® HD Graphics Driver and Intel® Iris® graphics (also referred to as Intel® Processor Graphics).
clDNN includes highly optimized building blocks to implement convolutional neural networks (CNN) with C and C++ interfaces.
We recently introduced the Intel Deep-Learning Deployment Toolkit, as part of the Intel Computer-Vision SDK to provide application developers an easy way to use the DL acceleration capabilities of Intel® Processor Graphics.
In a Nutshell, clDNN...
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took an estimated 61 years of effort (COCOMO model)
starting with its first commit in May, 2017
ending with its most recent commit almost 3 years ago
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These details are provided for information only. No information here is legal advice and should not be used as such.
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30 Day SummaryOct 17 2025 — Nov 16 2025
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12 Month SummaryNov 16 2024 — Nov 16 2025
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