Nerrick NerrickT

Gain massive GPU performance for Southern Islands AMD GPUs on Linux by removing DPM quirks in the kernel

I recently found out that my r9 270x GPU was not hitting full clock speeds because it was being throttled by the kernel based on old bug reports on DPM stability. This was an easy fix on gentoo where recompiling the kernel is trivial, but on ubuntu and similar, rebuilding the kernel is not so straightforward, so here's a guide based on ubuntu 16.04 LTS. If you run gentoo or know what you're doing you can just skip to the relevant code.

On my r9 270x, this resulted in an overall improvement in frame-rates of up to 50%: Unigine Valley went from something like 30-40 fps average to 55-60 and osu! (running in wine) went from 0.33 ms (~3000fps) to 0.25ms (~4000fps).

Note that I'm no linux god and all this info was pieced together by googling and asking on forums (credits to the guys at phoronix for pointing me to the quirks code).

If you're using the proprietary amdgpu-pro driver, read until the end of the

Project Title

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Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

tmux cheatsheet

As configured in my dotfiles.

start new:

tmux

start new with session name:

	# ansible-playbook -i inventory tcpdump.yml --extra-vars "target=stitchers"

	- hosts: '{{ target }}'
	become: yes
	become_method: sudo
	vars:
	cap_file: packet_capture_{{ ansible_hostname }}_{{ ansible_date_time['epoch'] }}.cap

	tasks:
	- name: start tcpdump

	#!/usr/bin/env python
	# -- coding: utf-8 --

	import psycopg2
	from basiclogger import pyLogger
	#from datetime import datetime
	from pandas import DataFrame
	from sqlalchemy import create_engine

	FILENAME = 'dataframetopostgres.log'

	# -- coding: utf-8 --
	"""
	LICENSE: BSD (same as pandas)
	example use of pandas with oracle mysql postgresql sqlite
	- updated 9/18/2012 with better column name handling; couple of bug fixes.
	- used ~20 times for various ETL jobs. Mostly MySQL, but some Oracle.

	to do:
	save/restore index (how to check table existence? just do select count(*)?),
	finish odbc,