awesome-machine-learning-in-compil
rexsimulator
Our great sponsors
| awesome-machine-learning-in-compil | rexsimulator | |
|---|---|---|
| 1 | 1 | |
| - | 5 | |
| - | - | |
| - | 1.8 | |
| - | over 3 years ago | |
| C# | ||
| - | - |
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awesome-machine-learning-in-compil
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I spent 5 years writing my own operating system
The list goes on.
Genode, unikernels like MirageOS, TempleOS, Singularity OS / Sing#, compiler services like Roslyn and Kotlin, MILEPOST GCC, Tensorflow / TPUs, GPT-3, all of the machine learning in compilers [1] and so much more. I truly think Deep Learning Compilers will be huge.
[1] https://github.com/zwang4/awesome-machine-learning-in-compil...
rexsimulator
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I spent 5 years writing my own operating system
The simulator https://github.com/halfer53/rexsimulator
The BIOS has already been written for the serial ports, etc. So it is quite easy for me to interact with the devices in the OS.
What are some alternatives?
ZenithOS - The Zenith Operating System is a modernized, professional fork of the 64-bit Temple Operating System.
winix - A UNIX-style Operating System for the Waikato RISC Architecture Microprocessor (WRAMP)
wcc - WRAMP C Compiler
awesome-machine-learning-in-compilers - Must read research papers and links to tools and datasets that are related to using machine learning for compilers and systems optimisation
unikraft - A next-generation cloud native kernel designed to unlock best-in-class performance, security primitives and efficiency savings.