VC4CL vs limited-systems

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VC4CL		limited-systems
	Project
6	Mentions	1
721	Stars	138
-	Growth	-
0.0	Activity	10.0
over 1 year ago	Latest Commit	over 1 year ago
C++	Language	CMake
MIT License	License	-

The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

VC4CL

Posts with mentions or reviews of VC4CL. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-02.

How to OpenCL on a raspberry Pi
4 projects | /r/OpenCL | 2 Jul 2023

There is a rough impl for the 3. https://github.com/doe300/VC4CL
Raspberry Pi Zero 2 for image processing.
1 project | /r/raspberry_pi | 17 Feb 2023

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 🅵🅰🆀 & 𝐇𝐄𝐋𝐏𝐃𝐄𝐒𝐊 thread - Boot problems? Power supply problems? Display problems? Networking problems? Need ideas? Get help with these and other questions! 𝑨𝑺𝑲 𝑯𝑬𝑹𝑬 𝑭𝑰𝑹𝑺𝑻
2 projects | /r/raspberry_pi | 17 Mar 2022
How do I get OpenCL on a Raspberry Pi 1B?
1 project | /r/raspberry_pi | 13 Feb 2022

Can't help more than a random repo I found showing its possible https://github.com/doe300/VC4CL
Zluda: CUDA on Intel GPUs
5 projects | news.ycombinator.com | 25 Feb 2021

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

limited-systems

Posts with mentions or reviews of limited-systems. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-02.