ComputesSharp
By Sergio0694
Cekirdekler
Multi-device OpenCL kernel load balancer and pipeliner API for C#. Uses shared-distributed memory model to keep GPUs updated fast while using same kernel on all devices(for simplicity). (by tugrul512bit)
ComputesSharp | Cekirdekler | |
---|---|---|
1 | 1 | |
- | 93 | |
- | - | |
- | 10.0 | |
- | almost 2 years ago | |
C# | ||
- | GNU General Public License v3.0 only |
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.
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.
ComputesSharp
Posts with mentions or reviews of ComputesSharp.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-12-25.
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Is there a way to utilize the gpu in a C# program?
https://github.com/Sergio0694/ComputesSharp is always being recommended to me. But I also just found this one https://github.com/m4rs-mt/ILGPU which looks very interesting. There are a lot of libraries which allow you to execute on the gpu
Cekirdekler
Posts with mentions or reviews of Cekirdekler.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-12-25.
What are some alternatives?
When comparing ComputesSharp and Cekirdekler you can also consider the following projects:
ILGPU - ILGPU JIT Compiler for high-performance .Net GPU programs
Hybridizer - Examples of C# code compiled to GPU by hybridizer
BenchmarkDotNet - Powerful .NET library for benchmarking
libGPGPU - Multi-GPU & CPU OpenCL kernel executor with load-balancing as if there is one big GPU.
SoftGround - High performance runtime collider deformation in Unity