kompute
nixops
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kompute | nixops | |
---|---|---|
37 | 10 | |
1,480 | 1,706 | |
6.5% | 4.3% | |
8.3 | 6.4 | |
3 days ago | 10 days ago | |
C++ | Python | |
Apache License 2.0 | GNU Lesser General Public License v3.0 only |
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.
kompute
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Intel CEO: 'The entire industry is motivated to eliminate the CUDA market'
The two I know of are IREE and Kompute[1]. I'm not sure how much momentum the latter has, I don't see it referenced much. There's also a growing body of work that uses Vulkan indirectly through WebGPU. This is currently lagging in performance due to lack of subgroups and cooperative matrix mult, but I see that gap closing. There I think wonnx[2] has the most momentum, but I am aware of other efforts.
[1]: https://kompute.cc/
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[P] - VkFFT version 1.3 released - major design and functionality improvements
Great to see the positive momentum of this framework! Best wishes and upvotes from the Vulkan Kompute team :)
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VkFFT: Vulkan/CUDA/Hip/OpenCL/Level Zero/Metal Fast Fourier Transform Library
To a first approximation, Kompute[1] is that. It doesn't seem to be catching on, I'm seeing more buzz around WebGPU solutions, including wonnx[2] and more hand-rolled approaches, and IREE[3], the latter of which has a Vulkan back-end.
[1]: https://kompute.cc/
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I'm Having Trouble Building this Library...
I look in an example and see similar instructions, stating that the build should be quite simple. But again, it doesn't work. It generates a bunch of folders with Visual Studio stuff, but no executables, no libraries, or anything like that.
I can't figure out how, and there are no tutorials. According to https://kompute.cc/overview/build-system.html I should simply run "cmake -Bbuild". But this doesn't output what I need, and when I look in the Makefile I get the sense that this is more an example Makefile... but then that contradicts the above tutorial.
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How to properly construct an abstraction layer with Vulkan
Kompute is in my opinion good example to take inspiration for abstractions.
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Vulkan for Image Processing? Good choice?
Currently, there's a few Vulkan compute frameworks floating around (like Kompute). I would work with those. Kompute simplifies a lot of the biolerplate and seems like you could benefit from using it.
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Paralell computing project
Try Kompute, a project from the Linux foundation. It is quite simple to use, and does not require deep knowledge of graphics API. It’s a bit painful to setup, but it kinda works well (and I have a project going on on it)
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Bootstrapping Vulkan for Scientific Compute Applications?
This so much.
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[D] PyTorch is moving to the Linux Foundation
This makes alot of sense considering the Linux Foundation is also in charge of Kompute which is likely to be the basis of vendor agnostic GPGPU, and thus the basis of vendor agnostic GPU-based machine learning.
nixops
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20 Years of Nix
As far as I know, it’s still about [0]. I’ve had a better experience with deploy-rs though [1] - or even just using nixos-rebuild to target the remote machine.
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Will we move away from DSLs?
For example Nix can already replace ansible, packer, cloudformation[1], dockerfiles.
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NixOS History and Our Experience - Nix, Null, Nada, Nothing
Nix can also ship the nixpkgs as an oci image (e.g. docker image), vm image, iso, or if you're able to: as a nixos configuration. Tools like nixops can allow you to deploy many machines and have their behavior exactly specified, and the configuration can be version controlled. NixOS configuration can be thought of as congruent configuration management, where many other tools give you many less guarantees about configuration drift and reproducibility.
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The best solution for deploying flakes
There are 4 tools I'm taking into consideration right now, but every suggestion is welcome: 1. deploy-rs - I don't know anything about it, heard about it like a day or two ago 2. NixOps - the official one, I don't know what to think, but I have concerns about Flakes compatibility 3. morph - I understand this as "NixOps, but better", no more toughs. 4. colmena - seems to be pretty straightforward with quite nice docs
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Spectrum OS: a declarative, reproducible, compartmentalized Linux
I'm still relatively new to NixOS, having switched all my personal systems over to it this spring/summer. I don't have a detailed answer to your question, but I believe NixOPs is the canonical way to do what you're describing in production/at scale:
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Tool for managing multiple machines of a distributed system?
Nixops is specifically made for purposes like yours.
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NixOS 21.05 Released!
Well, everyone of course! But especially devops, developers, power-users, and ricer folks. Due to the declarative and purity aspect of nixpkgs, all builds and configurations can be version controlled, cached and shared. NixOS can easily be extended to produce docker images, vm images, or even distributed deployments. You can also write reproducible multi-node integration tests. Tinkerers! Love playing around with the latest desktop manager or modifying builds? Nixpkgs allows you to modify any package you wish to, locally! Nixpkgs is actually a source distribution but its guarantees around purity and reproducibility are so strong that you can get a binary cache "for free".
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Backblaze Is Now a Terraform Provider
You could use NixOps[0] for Nix but I'm not sure you can directly compare Terraform and Guix/Nix? My set up involves Terraform for infrastructure and Nix for provisioning, and it's working for me so far.
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Benefits/disadvantages of Guix System in general and over NixOS?
I'll have to read more about NixOps though, I had kind of forgotten that it existed!
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NixOS Linux
Kind of off topic, but I would love to have NixOps (https://github.com/NixOS/nixops) as an abstraction layer for every type of cloud service, and not just virtual machines (e.g. queues, object storages, etc).
There is Terraform and Ansible, of course, but Nix seems like it could combine the strengths of both of them.
What are some alternatives?
rust-gpu - 🐉 Making Rust a first-class language and ecosystem for GPU shaders 🚧
deploy-rs - A simple multi-profile Nix-flake deploy tool.
ROCm - AMD ROCm™ Software - GitHub Home [Moved to: https://github.com/ROCm/ROCm]
terraform - Terraform enables you to safely and predictably create, change, and improve infrastructure. It is a source-available tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned.
VkFFT - Vulkan/CUDA/HIP/OpenCL/Level Zero/Metal Fast Fourier Transform library
Home Manager using Nix - Manage a user environment using Nix [maintainer=@rycee]
OpenCLOn12 - The OpenCL-on-D3D12 mapping layer
morph - NixOS deployment tool
godot-proposals - Godot Improvement Proposals (GIPs)
nixos-generators - Collection of image builders [maintainer=@Lassulus]
VulkanExamples - Examples and demos for the Vulkan C++ API
patchelf - A small utility to modify the dynamic linker and RPATH of ELF executables