kernel_tuner
pla-reverse-gui
kernel_tuner | pla-reverse-gui | |
---|---|---|
4 | 2 | |
243 | 14 | |
3.7% | - | |
9.1 | 7.0 | |
5 days ago | 7 months ago | |
Python | Python | |
Apache License 2.0 | GNU 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.
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
pla-reverse-gui
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Help with respawning
Maybe the text version of the guide will be easier to follow: https://github.com/Lincoln-LM/pla-reverse-gui/wiki/Usage-Guide
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[Legends Arceus] Guide and Tool for Retail (No CFW, No Sysbot) PLA RNG Manipulation
Hello r/pokemonrng! Recently there have been some developments in retail legends arceus rng manipulation (or at least developments in its ease of use) and I've written a rough guide on the entire process. The tool is called pla-reverse-gui, and it would not be possible without the initial work of pattirudon's larng-java!
What are some alternatives?
halutmatmul - Hashed Lookup Table based Matrix Multiplication (halutmatmul) - Stella Nera accelerator
pyopencl - OpenCL integration for Python, plus shiny features
audio-slicer - A simple GUI application that slices audio with silence detection
tf-quant-finance - High-performance TensorFlow library for quantitative finance.
larng-java
arrayfire-python - Python bindings for ArrayFire: A general purpose GPU library.
atmos-rng - A randomness generator based off of atmospheric noise instead of math to generate numbers, choices, and to shuffle lists.
scikit-cuda - Python interface to GPU-powered libraries
BlendLuxCore - Blender Integration for LuxCore
PyCUDA - CUDA integration for Python, plus shiny features