awesome-machine-learning-in-compilers
Parallel-Computing-Guide
| awesome-machine-learning-in-compilers | Parallel-Computing-Guide | |
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| 5 | 2 | |
| 1,336 | 31 | |
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| 5.7 | 3.6 | |
| 18 days ago | over 2 years ago | |
| Creative Commons Zero v1.0 Universal | - |
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awesome-machine-learning-in-compilers
- Awesome research papers on ML in Compilers
- Research Papers on ML in Compilers
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Compiler Optimizations Are Hard Because They Forget
This repo is a great collection of various papers & resources on the subject: https://github.com/zwang4/awesome-machine-learning-in-compilers
- Can artificial neural networks make better artificial neural networks than humans can make yet?
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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...
Parallel-Computing-Guide
What are some alternatives?
kernel-ml - Machine Learning Framework for Operating Systems - Brings ML to Linux kernel
parallel-hashmap - A family of header-only, very fast and memory-friendly hashmap and btree containers.
winix - A UNIX-style Operating System for the Waikato RISC Architecture Microprocessor (WRAMP)
Basic_Cluster - Home of the Basic Cluster
ZenithOS - The Zenith Operating System is a modernized, professional fork of the 64-bit Temple Operating System.
hpctoolkit - HPCToolkit performance tools: measurement and analysis components
rexsimulator - a forked copy of https://sourceforge.net/projects/rexsimulator/
Kernels - This is a set of simple programs that can be used to explore the features of a parallel platform.
awesome-tensor-compilers - A list of awesome compiler projects and papers for tensor computation and deep learning.
oneMKL - oneAPI Math Kernel Library (oneMKL) Interfaces
unikraft - A next-generation cloud native kernel designed to unlock best-in-class performance, security primitives and efficiency savings.
heinsen_sequence - Code implementing "Efficient Parallelization of a Ubiquitious Sequential Computation" (Heinsen, 2023)