Apoorva Kumar rava-dosa

Setting up for Deep Learning on Ubuntu 14.04

Saving this so I can find it later & potentially help others. This sets up the latest as of 10/7/2017

Assumes Anaconda3 is installed. Here is mine:

The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing
By Google (Akidau et al)
In Proceedings of the VLDB Endowment, Vol. 8, No. 12
August 2015
http://www.vldb.org/pvldb/vol8/p1792-Akidau.pdf
MillWheel: Fault-Tolerant Stream Processing at Internet Scale
By Google (Akidau et al)

##create your personal apps folder mkdir ~/apps ##extract sublime text into your apps folder tar -xvzf Sublime*.tar.bz2 -C ~/apps/

	Latency Comparison Numbers (~2012)
	----------------------------------
	L1 cache reference 0.5 ns
	Branch mispredict 5 ns
	L2 cache reference 7 ns 14x L1 cache
	Mutex lock/unlock 25 ns
	Main memory reference 100 ns 20x L2 cache, 200x L1 cache
	Compress 1K bytes with Zippy 3,000 ns 3 us
	Send 1K bytes over 1 Gbps network 10,000 ns 10 us
	Read 4K randomly from SSD* 150,000 ns 150 us ~1GB/sec SSD

	/// This is not written to compile. I just copied everything into one file to make viewing easy
	/// Here is a sample usage (task definitions and implementations omitted)

	int main()
	{
	TaskScheduler scheduler;
	MyTaskA taskA;
	MyTaskB taskB;

	BOOL running = true

	/*
	A Minimal Capture Program

	This program opens an audio interface for capture, configures it for
	stereo, 16 bit, 44.1kHz, interleaved conventional read/write
	access. Then its reads a chunk of random data from it, and exits. It
	isn't meant to be a real program.

	From on Paul David's tutorial : http://equalarea.com/paul/alsa-audio.html

	# Remove unused images

	docker rmi -f $(docker images \| grep "<none>" \| awk "{print \$3}")

	# Remove dangling images
	docker rmi $(docker images --filter "dangling=true" -q --no-trunc)

	# Ejecutar bash dentro de un servicio docker

	$ docker-compose exec <service id> bash

	/**
	* OpenCV video streaming over TCP/IP
	* Client: Receives video from server and display it
	* by Steve Tuenkam
	*/

	#include "opencv2/opencv.hpp"
	#include <sys/socket.h>
	#include <arpa/inet.h>
	#include <unistd.h>