pranaypratyush

Refs:
1. http://os.archlinuxarm.org/os/ArchLinuxARM-aarch64-latest.tar.gz
2. https://dl-cdn.alpinelinux.org/alpine/v3.13/releases/aarch64/alpine-virt-3.13.5-aarch64.iso
3. https://wiki.alpinelinux.org/wiki/Replacing_non-Alpine_Linux_with_Alpine_remotely
4. https://wiki.archlinux.org/index.php/installation_guide#Configure_the_system
5. https://archlinuxarm.org/platforms/armv8/generic

Requirement:
  Console access.
  

magicstone1412

#!/sbin/openrc-run
# Nico Schottelius, 2020-07-02
# Start all wireguard tunnels with wg-quick
# Copying: GPLv2 or later

do_wireguard() {
    action=$1

    [ -d /etc/wireguard ] || exit 0

TengdaHan

Multi-node-training on slurm with PyTorch

What's this?

• A simple note for how to start multi-node-training on slurm scheduler with PyTorch.
• Useful especially when scheduler is too busy that you cannot get multiple GPUs allocated, or you need more than 4 GPUs for a single job.
• Requirement: Have to use PyTorch DistributedDataParallel(DDP) for this purpose.
• Warning: might need to re-factor your own code.
• Warning: might be secretly condemned by your colleagues because using too many GPUs.

ergoz

#!/bin/sh

UPTIME_DAYS=$(expr `cat /proc/uptime | cut -d '.' -f1` % 31556926 / 86400)
UPTIME_HOURS=$(expr `cat /proc/uptime | cut -d '.' -f1` % 31556926 % 86400 / 3600)
UPTIME_MINUTES=$(expr `cat /proc/uptime | cut -d '.' -f1` % 31556926 % 86400 % 3600 / 60)

cat > /etc/motd << EOF
     %++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++%
     %                                                                            %
     %                                WELCOME!                                    %

bodokaiser

build:
  $(CC) -o queue.o queue.c