# GPUparallelisation on Intel card?
**URL:** https://discourse.julialang.org/t/gpuparallelisation-on-intel-card/31843
**Category:** GPU
**Created:** [December 4, 2019, 10:50am UTC](https://discourse.julialang.org/t/gpuparallelisation-on-intel-card/31843 "2019-12-04T10:50:38Z")
**Posts on this page:** 3
**Page:** 1
### Author:  [@sylvaticus](https://discourse.julialang.org/u/sylvaticus)
#### Post date: [December 4, 2019, 10:50am UTC](https://discourse.julialang.org/t/gpuparallelisation-on-intel-card/31843/1 "2019-12-04T10:50:38Z")
Hello, is GPU parallelisation reserved to CUDarray/NVIDIA cards, or is there an API for generic (i.e. Intel integrated) cards ?
And if yes, is it worth it? Where could I get more doc/info about it ?
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### Author:  [@ranocha](https://discourse.julialang.org/u/ranocha)
#### Post date: [December 4, 2019, 2:26pm UTC](https://discourse.julialang.org/t/gpuparallelisation-on-intel-card/31843/2 "2019-12-04T14:26:44Z")
You can use [OpenCL.jl](https://github.com/JuliaGPU/OpenCL.jl) to execute (hand written) OpenCL kernels on Intel CPUs and GPUs. However, the high level `CLArray`s are not working on Julia `v1.n` at the moment.
If you use an integrated GPU, you will not necessarily get a speedup compared to the CPU (running code in parallel).
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### Author:  [@jpsamaroo](https://discourse.julialang.org/u/jpsamaroo)
#### Post date: [December 5, 2019, 12:41pm UTC](https://discourse.julialang.org/t/gpuparallelisation-on-intel-card/31843/3 "2019-12-05T12:41:06Z")
Once Intel upstreams their LLVM GPU changes, we will be able to improve this situation more easily by taking the same approach as CUDAnative does (using the appropriate LLVM backend).