betterletter
kernel_tuner
| betterletter | kernel_tuner | |
|---|---|---|
| 2 | 4 | |
| 10 | 246 | |
| - | 4.9% | |
| 7.2 | 9.1 | |
| about 2 months ago | 5 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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.
betterletter
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Ask HN: What apps have you created for your own use?
meaning it not only replaces Umlauts and Eszett, it also knows when not to (Poeten), and handles arbitrary compound words. Write your text, slap it all into the tool, it spits out results instantly. The original text can use alternative spellings (ou, ae, ue, ss), which is ergonomic. Combined with tools like AutohotKey, GUI integration through a single keyboard shortcut is possible. See [0] for a similar example.
A niche need I haven't yet come across someone else having as well! (just the amount of text explaining what it's all about is saying a lot in terms of specificity...)
The tool now grew into a tree-sitter based (== language grammar-aware) text manipulation thing, mostly for fun. The bizarre German core is still there however.
[0]: https://github.com/alexpovel/betterletter/blob/c19245bf90589...
- Erfahrungen mit US-Tastaturlayout im deutschsprachigem Raum
kernel_tuner
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Ask HN: What apps have you created for your own use?
I've created Kernel Tuner (https://github.com/KernelTuner/kernel_tuner) as a small software development tool, because I was writing a lot of CUDA and OpenCL kernels at the time. I didn't want to manually figure out what best thread block dimensions and work division among threads were on every GPU over and over again.
The tool evolved quite a bit since the first versions. I'm also using it for testing GPU code, teaching, and it has become one of the main drivers behind a lot of the research that I do.
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PhD'ers, what are you working on? What CS topics excite you?
We have an open science policy, so anyone can use our framework yourself to optimize stuff, if you want! The original paper is linked at the bottom of the GitHub page.
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How to Optimize a CUDA Matmul Kernel for CuBLAS-Like Performance: A Worklog
This is a great post for people who are new to optimizing GPU code.
It is interesting to see that the author got this far without interchanging the innermost loop over k to the outermost loop, as is done in CUTLASS (https://github.com/NVIDIA/cutlass).
As you can see in this blog post the code ends up with a lot of compile-time constants (e.g. BLOCKSIZE, BM, BN, BK, TM, TN) one way to optimize this code further is to use an auto-tuner to find the optimal value for all of these parameters for your GPU and problem size, for example Kernel Tuner (https://github.com/KernelTuner/kernel_tuner)
- Kernel Tuner
What are some alternatives?
AutoHotkey.py - Write AutoHotkey scripts in Python.
halutmatmul - Hashed Lookup Table based Matrix Multiplication (halutmatmul) - Stella Nera accelerator
macros - Press buttons using python or AutoHotkey. Previously called `python-macros` or `macros`
pyopencl - OpenCL integration for Python, plus shiny features
quikey - A keyboard macro tool.
tf-quant-finance - High-performance TensorFlow library for quantitative finance.
trace-dkey - Python library to trace path of a particular key inside a nested dict
arrayfire-python - Python bindings for ArrayFire: A general purpose GPU library.
scikit-cuda - Python interface to GPU-powered libraries
BlendLuxCore - Blender Integration for LuxCore
catboost - A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
jiro-nn - A Deep Learning and preprocessing framework in Rust with support for CPU and GPU.