There are two parts to networking within QEMU:
- The virtual network device that is provided to the guest (e.g. a PCI network card).
- The network backend that interacts with the emulated NIC (e.g. puts packets onto the host's network).
git clean -xfd | |
git submodule foreach --recursive git clean -xfd | |
git reset --hard | |
git submodule foreach --recursive git reset --hard | |
git submodule update --init --recursive |
#!/bin/bash | |
# -*- mode: shell-script; indent-tabs-mode: nil; sh-basic-offset: 4; -*- | |
# ex: ts=8 sw=4 sts=4 et filetype=sh | |
VMN=${VMN:=1} | |
NEMU=~/build-x86_64/x86_64-softmmu/qemu-system-x86_64 | |
sudo $NEMU \ | |
-trace events=/tmp/events \ |
# Authors: Sean Bowe, Alessandro Chiesa, Matthew Green, Ian Miers, Pratyush Mishra, Howard Wu | |
# | |
# This script rigidly generates Montgomery or (twisted) Edwards curves over a given base prime field. | |
# Note that we ensure twist security | |
# Throughout, we write "Edwards" to mean "twisted Edwards". | |
# TODO: add function to check embedding degree, etc | |
# References: | |
# [BBJLP]: Bernstein, Birkner, Joye, Lange, Peters --- "Twisterd Edwards curves" |
The Linux kernel is written in C, so you should have at least a basic understanding of C before diving into kernel work. You don't need expert level C knowledge, since you can always pick some things up underway, but it certainly helps to know the language and to have written some userspace C programs already.
It will also help to be a Linux user. If you have never used Linux before, it's probably a good idea to download a distro and get comfortable with it before you start doing kernel work.
Lastly, knowing git is not actually required, but can really help you (since you can dig through changelogs and search for information you'll need). At a minimum you should probably be able to clone the git repository to a local directory.
Lecture 1: Introduction to Research — [📝Lecture Notebooks] [
Lecture 2: Introduction to Python — [📝Lecture Notebooks] [
Lecture 3: Introduction to NumPy — [📝Lecture Notebooks] [
Lecture 4: Introduction to pandas — [📝Lecture Notebooks] [
Lecture 5: Plotting Data — [📝Lecture Notebooks] [[