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ILGPU Alternatives
Similar projects and alternatives to ILGPU
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ComputeSharp
A .NET library to run C# code in parallel on the GPU through DX12, D2D1, and dynamically generated HLSL compute and pixel shaders, with the goal of making GPU computing easy to use for all .NET developers! 🚀
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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CUDAfy.NET
Discontinued CUDAfy .NET allows easy development of high performance GPGPU applications completely from the .NET. It's developed in C#.
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NvAPIWrapper
NvAPIWrapper is a .Net wrapper for NVIDIA public API, capable of managing all aspects of a display setup using NVIDIA GPUs
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Amplifier.NET
Amplifier allows .NET developers to easily run complex applications with intensive mathematical computation on Intel CPU/GPU, NVIDIA, AMD without writing any additional C kernel code. Write your function in .NET and Amplifier will take care of running it on your favorite hardware.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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cuda-api-wrappers
Thin C++-flavored header-only wrappers for core CUDA APIs: Runtime, Driver, NVRTC, NVTX.
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TinyNvidiaUpdateChecker
Windows tool to check for NVIDIA GPU driver updates
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managedCuda
ManagedCUDA aims an easy integration of NVidia's CUDA in .net applications written in C#, Visual Basic or any other .net language.
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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).
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better ILGPU alternative or higher similarity.
ILGPU reviews and mentions
Posts with mentions or reviews of ILGPU.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-10-27.
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ILGPU VS ComputeSharp - a user suggested alternative
2 projects | 27 Oct 2023
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CUDA integration for C#
I've had a good experience with ILGPU: clean API, loads of samples, nice community. Apologies for a shameless plug, but I used it in one of my projects and happened to write a blog post about it: https://timiskhakov.github.io/posts/computing-the-convex-hull-on-gpu. Hope it helps!
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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
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Is there a way to run metal shaders on CPU threads?
I would checkout the github for more details, or ask on the discord for more specifics, but all the kernels are compiled into IL by the C# compiler, then at runtime the ILGPU compiler converts them from IL into PTX, OpenCL, or back into IL (in a special way to maintain thread grouping and stuff). Then PTX / OpenCL /IL is compiled and run using the respective runtimes. Cuda for PTX, the OpenCL runtime for OpenCL, and .net for IL. We have talked about creating a CPU execution path that tries to match speeds with CPU code, but I do not think it is a big priority.
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What is ILGPU | Links | FAQ
Github repo
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A note from our sponsor - WorkOS
workos.com | 19 Apr 2024
Stats
Basic ILGPU repo stats
6
1,053
9.0
about 11 hours ago
m4rs-mt/ILGPU is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of ILGPU is C#.
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SaaSHub helps you find the best software and product alternatives
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