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VC4CL Alternatives
Similar projects and alternatives to VC4CL
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InfluxDB
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WorkOS
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VC4CL reviews and mentions
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How to OpenCL on a raspberry Pi
There is a rough impl for the 3. https://github.com/doe300/VC4CL
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Raspberry Pi Zero 2 for image processing.
The Zero 2 still uses VideoCore IV for which we have the documentation and various projects making use of it. There is a open source Mesa driver and also OpenCL support: https://github.com/doe300/VC4CL
- 2022 Mar 14 (Pi Day!) Stickied π ΅π °π & ππππππππ thread - Boot problems? Power supply problems? Display problems? Networking problems? Need ideas? Get help with these and other questions! π¨πΊπ² π―π¬πΉπ¬ ππ°πΉπΊπ»
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How do I get OpenCL on a Raspberry Pi 1B?
Can't help more than a random repo I found showing its possible https://github.com/doe300/VC4CL
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Zluda: CUDA on Intel GPUs
Excellent effort. Nvidia has become defacto GPGPU hardware vendor due to CUDA, but I wish it was OpenCL or other general API instead. Even Raspberry Pi's VideoCore has OpenCL support[1].
But a look at HW Acceleration support table at FFmpeg[2] shows why GPGPU Platform API is such a mess. But performance benefits are incredible, using VAAPI for FFmpeg to encode 1080p 2560x1080 screen capture at 60fps reduces CPU usage from 90% to 10% on a old corei5 with intel HD 3000; An old laptop could be perfectly used as an encoding machine for streaming just by using HW Acceleration.
What's funny is that the laptop also has Radeon HD 6490M with 1GB GDDR5 dedicated memory and it's not supported by VAAPI for encoding! Thereby proving the point that GPGPU API/Platform Support are astonishingly messy.
[1]https://github.com/doe300/VC4CL
[2]https://trac.ffmpeg.org/wiki/HWAccelIntro
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Stats
doe300/VC4CL is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of VC4CL is C++.
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