# GPU computing with Intel UHD Graphics 620

**URL:** https://discourse.julialang.org/t/gpu-computing-with-intel-uhd-graphics-620/28790
**Category:** Tooling
**Tags:** question
**Created:** [September 15, 2019, 1:17pm UTC](https://discourse.julialang.org/t/gpu-computing-with-intel-uhd-graphics-620/28790 "2019-09-15T13:17:59Z")
**Posts on this page:** 1
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### Author: ![ranocha](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/ranocha/32/35588_2.png) [@ranocha](https://discourse.julialang.org/u/ranocha)
#### Post date: [September 15, 2019, 2:00pm UTC](https://discourse.julialang.org/t/gpu-computing-with-intel-uhd-graphics-620/28790/3 "2019-09-15T14:00:36Z")

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As far as I know, [OpenCL.jl](https://github.com/JuliaGPU/OpenCL.jl) mentioned above is your only chance to run code on an integrated Intel GPU.  
However, in my experience, using OpenCL on an Intel CPU directly is often similarly fast or even faster than running the same code on the integrated GPU (but there can be a really significant difference if you have a dedicated GPU), cf.

> [@Any good OpenCL examples to demonstrate a speedup?](https://discourse.julialang.org/t/any-good-opencl-examples-to-demonstrate-a-speedup/22656/5):
>
> Did you compare the runtime of CLBlast.jl and basic BLAS from Base? If so, was BLAS using multiple threads? Or did you compare CLBlast.jl on the CPU and the GPU? In my experience, using OpenCL on an Intel CPU directly is often similarly fast or even faster than running the same code on the integrated GPU. There can be a really significant difference if you have a dedicated GPU.

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