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It's certainly plausible
It's currently using wcc to compile the kernel https://github.com/wandwramp/wcc. We can swap it with gcc for sure, but require a lot of work, especially the output format and backend.
Winix uses a simple header for binaries, https://github.com/halfer53/winix/blob/master/include/winix/..., so we would need to tweak gcc to support this header format and =add backend support for WRAMP architecture.
ELF is quite complicated, if I have to do this, I probably just copy some codes to linux.
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.
It's certainly plausible
It's currently using wcc to compile the kernel https://github.com/wandwramp/wcc. We can swap it with gcc for sure, but require a lot of work, especially the output format and backend.
Winix uses a simple header for binaries, https://github.com/halfer53/winix/blob/master/include/winix/..., so we would need to tweak gcc to support this header format and =add backend support for WRAMP architecture.
ELF is quite complicated, if I have to do this, I probably just copy some codes to linux.
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...
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...