mahendrapaipuri

#!/bin/bash

pip uninstall jupyter-ai langchain-openai -y

mahendrapaipuri

Preamble

Document resumes the bug in the SLURM's acct_gather_energy/rapl plugin that reports the energy consumption of the jobs using MSRs of RAPL framework.

Essentials

RAPL supports multiple power domains. The RAPL power domain is a physically meaningful domain (e.g., Processor Package, DRAM etc) for power management. Each power domain informs the energy consumption of the domain.

RAPL provides the following power domains for both measuring and limiting energy consumption:

mahendrapaipuri

# To be able to rebase with VSCODE UI
git -c "core.editor=code --wait --reuse-window" -c "sequence.editor=code --wait --reuse-window" rebase -i HEAD~n

mahendrapaipuri

import 'jquery/src/jquery';

import 'bootstrap/dist/css/bootstrap.min.css';

import 'bootstrap/dist/js/bootstrap.min.js';

mahendrapaipuri

List of dummy servers for API testing

Taken from stackoverflow

httpbin.org

https://httpbin.org/

It echoes the data used in your request for any of these types:

mahendrapaipuri

#!/bin/bash

# Command to check top consumers of open files in linux
lsof | awk '{ print $2; }' | sort -rn | uniq -c | sort -rn | head

# List of processes id with the number of inotify instances they are consuming, 
# sorted by the number of inotify instances being consumed
for inot in /proc/*/fd/*; do readlink -f $inot; done | grep inotify | sort | uniq -c | sort -nr

# Increase inotify watches and instances

mahendrapaipuri

#!/usr/bin/env python
"""
Produces load on all available CPU cores
"""

from multiprocessing import Pool
from multiprocessing import cpu_count

def f(x):
    while True:

mahendrapaipuri

# Nicked from https://github.com/waggle-sensor/gpu-stress-test/tree/main
import os
import sys
import time
import torch

x = torch.linspace(0, 4, 16 * 1024 ** 2).cuda()

runtime = 60
timeout = time.time() + runtime

mahendrapaipuri

#!/bin/bash

# Get dropbox.py file
wget -O $HOME/dropbox.py http://www.dropbox.com/download?dl=packages/dropbox.py

# Setup dropbox. Use DISPLAY='' env var to set it up without GUI
# Else we will need to install a lot of GUI related stack
DISPLAY='' python3 $HOME/dropbox.py start -i

# Finally start dropbox

mahendrapaipuri

# Install artifacts server

git clone https://github.com/anthonykawa/artifact-server.git
npm install

# Start artifacts server with AUTH_KEY env var set
# By default this will start server on port 8080
AUTH_KEY=foo npm run start