kernel_tuner
Internet-Places-Database
kernel_tuner | Internet-Places-Database | |
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4 | 10 | |
243 | 21 | |
9.9% | - | |
9.1 | 9.3 | |
5 days ago | 2 days ago | |
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
Internet-Places-Database
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Show HN: OpenOrb, a curated search engine for Atom and RSS feeds
You can find many RSS feeds, links in my repository
https://github.com/rumca-js/Internet-Places-Database/tree/ma...
It contains also domain lists, that include tag indicating, if it is personal, or not.
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We Need to Rewild the Internet
I am running my personal web crawler since September of 2022. I gather internet domains and assign them meta information. There are various sources of my data. I assign "personal" tag to any personal website. I assign "self-host" tag to any self-host program I find.
I have less than 30k of personal websites.
Data are in the repository.
https://github.com/rumca-js/Internet-Places-Database
I still rely on google for many things, or kagi. It is interesting to me, what my crawler finds next. It is always a surprise to see new blog, or forgotten forum of sorts.
This is how I discover real new content on the Internet. Certainly not by google which can find only BBC, or techcrunch.
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The internet is slipping out of our reach
Google will not be interested in fixing search. It also may not be possibile because of ai spam. They would like to invest in deep mind/bard/gemini than to fix technology that will be obsolete in a few years.
I have started scanning domains to see how many different places there are in the internet. Spoiler: Not many.
We could try to create curated open databases for links, forums, places, and links, but in ai era it will always be a niche.
Having said that I think that it is a good thing. If it is a niche it will not be spoiled by normal users expecting simple behavior, or corporations trying to control the output.
Start your blog
Start your curated lists of links.
Control your data. Share your data.
Link https://github.com/rumca-js/Internet-Places-Database
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YaCy, a distributed Web Search Engine, based on a peer-to-peer network
There are already many project about search:
- https://www.marginalia.nu/
- https://searchmysite.net/
- https://lucene.apache.org/
- elastic search
- https://presearch.com/
- https://stract.com/
- https://wiby.me/
I think that all project are fun. I would like to see one succeeding at reaching mainstream level of attention.
I have also been gathering links meta data for some time. Maybe I will use them to feed any eventual self hosted search engine, or language model, if I decide to experiment with that.
- domains for seed https://github.com/rumca-js/Internet-Places-Database
- bookmarks seed https://github.com/rumca-js/RSS-Link-Database
- links for year https://github.com/rumca-js/RSS-Link-Database-2024
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A search engine in 80 lines of Python
I have myself dabbled a little bit in that subject. Some of my notes:
- some RSS feeds are protected by cloudflare. It is true however that it is not necessary for majority of blogs. If you would like to do more then selenium would be a way to solve "cloudflare" protected links
- sometimes even selenium headless is not enough and full blown browser in selenium is necessary to fool it's protection
- sometimes even that is not enough
- then I started to wonder, why some RSS feeds are so well protected by cloudflare, but who am I to judge?
- sometimes it is beneficial to cover user agent. I feel bad for setting my user agent to chrome, but again, why RSS feeds are so well protected?
- you cannot parse, read entire Internet, therefore you always need to think about compromises. For example I have narrowed area of my searches in one of my projects to domains only. Now I can find most of the common domains, and I sort them by their "importance"
- RSS links do change. There need to be automated means to disable some feeds automatically to prevent checking inactive domains
- I do not see any configurable timeout for reading a page, but I am not familiar with aiohttp. Some pages might waste your time
- I hate that some RSS feeds are not configured properly. Some sites do not provide a valid meta "link" with "application/rss+xml". Some RSS feeds have naive titles like "Home", or no title at all. Such a waste of opportunity
My RSS feed parser, link archiver, web crawler: https://github.com/rumca-js/Django-link-archive. Especially interesting could be file rsshistory/webtools.py. It is not advanced programming craft, but it got the job done.
Additionally, in other project I have collected around 2378 of personal sites. I collect domains in https://github.com/rumca-js/Internet-Places-Database/tree/ma... . These files are JSONs. All personal sites have tag "personal".
Most of the things are collected from:
https://nownownow.com/
https://searchmysite.net/
I wanted also to process domains from https://downloads.marginalia.nu/, but haven't got time to read structure of the files
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Is Google Getting Worse? A Longitudinal Investigation of SEO Spam in Search [pdf]
On the other hand it is not 1995. Time has moved on. I wrote a Simple RSS feed, that also serves as search engine for bookmarks.
I am able to run it in attick on raspberry pi. We do not have to rely so heavily on google.
https://github.com/rumca-js/Django-link-archive
It is true that it does not serve me as google, or kagi replacement. It is a very nice addition though.
With a little bit off determination I do not have to be so dependent on google.
Here is also a dump of known domains. Some are personal.
https://github.com/rumca-js/Internet-Places-Database
...and my bookmarks
https://github.com/rumca-js/RSS-Link-Database
Some more years, and google can go to hell.
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Ask HN: What apps have you created for your own use?
[4] https://github.com/rumca-js/Django-link-archive
These are exported then to github repositories:
[5] https://github.com/rumca-js/RSS-Link-Database - bookmarks
[6] https://github.com/rumca-js/RSS-Link-Database-2023 - 2023 year news headlines
[7] https://github.com/rumca-js/Internet-Places-Database - all known to me domains, and RSS feeds
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The Small Website Discoverability Crisis
My own repositories:
- bookmarked entries https://github.com/rumca-js/RSS-Link-Database
- mostly domains https://github.com/rumca-js/Internet-Places-Database
- all 'news' from 2023 https://github.com/rumca-js/RSS-Link-Database-2023
I am using my own Django program to capture and manage links https://github.com/rumca-js/Django-link-archive.
- Show HN: List of Internet Domains
What are some alternatives?
halutmatmul - Hashed Lookup Table based Matrix Multiplication (halutmatmul) - Stella Nera accelerator
polychrome.nvim - A colorscheme creation micro-framework for Neovim
pyopencl - OpenCL integration for Python, plus shiny features
webring - Make yourself a website
tf-quant-finance - High-performance TensorFlow library for quantitative finance.
RSS-Link-Database - Bookmarked archived links
arrayfire-python - Python bindings for ArrayFire: A general purpose GPU library.
notifeed - Watch RSS/Atom feeds and send push notifications/webhooks when new content is detected
scikit-cuda - Python interface to GPU-powered libraries
webpub - Give me a website, I'll make you an epub.
BlendLuxCore - Blender Integration for LuxCore
clipzoomfx - Side-project for extracting highlights from (mostly sports) videos