kernel_tuner
npkill
kernel_tuner | npkill | |
---|---|---|
4 | 22 | |
248 | 7,968 | |
5.6% | 0.8% | |
9.1 | 4.9 | |
4 days ago | 22 days ago | |
Python | TypeScript | |
Apache License 2.0 | MIT License |
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
-
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.
-
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.
-
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
npkill
-
Ask HN: What apps have you created for your own use?
I initially created Npkill (https://npkill.js.org) for my own use because as a web developer I was always running out of disk space. When we launched it quickly became popular because it seems that not only we had that problem and today it is the most popular tool for that purpose.
Another one I launched was Pill Reminder (https://zaldih.github.io/pill-reminder/). If you are taking something for a cold or medical treatment it allows you to easily swipe and note down when you have taken your medication and lets you know when you are due to take it next.
ScrollTabs (https://github.com/zaldih/scrolltabs-extension) was born so soon after I migrated from chrome to firefox years ago and I missed being able to switch between tabs with the mouse scroll.
+ many others that I would like to prepare and make public for the future.
- Script to delete ALL Node_modules Folders in the Current Directory Recursively
-
how to manage node modules in every proj?
Just delete them after you are done, you can try https://www.npmjs.com/package/npkill
- NPKILL 0.11.1 released! Say goodbye to all those unused and heavy node_modules that take up precious space in seconds. Now faster.
- 🎉 NPKILL 0.11.1 released! 👋 Say goodbye to all those unused and heavy node_modules that take up precious space in seconds. Now faster.
- Npkill – Find and remove old and heavy node_modules folders
- Ncdu – NCurses Disk Usage
-
I wrote a script which goes through folders containing NodeJS projects and deletes the disk space consuming node_modules from them, to free up space from projects you're not using.
There's npkill already
-
Delete unused node_modules in a second and enjoy some free space!
I found a cool tool that helps exactly for this scenario, it's called npkill and you can find it on npm.js.
-
Identifique e apague todas node_modules com NP Kill
Referência: https://www.npmjs.com/package/npkill
What are some alternatives?
halutmatmul - Hashed Lookup Table based Matrix Multiplication (halutmatmul) - Stella Nera accelerator
localtunnel - expose yourself
pyopencl - OpenCL integration for Python, plus shiny features
gtop - System monitoring dashboard for terminal
tf-quant-finance - High-performance TensorFlow library for quantitative finance.
genshin-optimizer - An Artifact optimizer for Genshin Impact.
arrayfire-python - Python bindings for ArrayFire: A general purpose GPU library.
atmo - :heavy_check_mark: Mock data for your prototypes and demos. Remote deployments to Zeit now.
scikit-cuda - Python interface to GPU-powered libraries
carbon-now-cli - 🎨 Beautiful images of your code — from right inside your terminal.
BlendLuxCore - Blender Integration for LuxCore
npm-check-updates - Find newer versions of package dependencies than what your package.json allows