Dendi Suhubdy dendisuhubdy

NOTE: This was first authored on 26 Feb 2014. Things may have changed since then.

C++'s Templates

C++'s templates could be seen as forming a duck typed, purely functional code generation program that is run at compile time. Types are not checked at the initial invocation stage, rather the template continues to expand until it is either successful, or runs into an operation that is not supported by that specific type – in that case the compiler spits out a 'stack trace' of the state of the template expansion.

To see this in action, lets look at a very simple example:

template

##RPM Packages##

sudo yum install qt-devel protobuff-devel qrencode-devel

##Switch to user bitcoind##

sudo useradd bitcoind
sudo su - bitcoind
mkdir bitcoind

mkdir bitcoind/deps

Manually editing the configuration files isn't recommended since its kind of complicated. It is recommended to configure using irssi's commands.

Start irssi and connect to a server. Then enter the commands.
Auto-connect to a server during startup. Password is server password but can be used as a user password for quick authentication. This method is useful since it authenticates you before irssi tries to connect to the channels, so you are able to join channels where authentication is required. (Password is optional and will be visible in the configuration file in plain text).

/server add -auto -ssl -ssl_verify -ssl_capath /etc/ssl/certs -network freenode irc.freenode.net 6697 password

If you keep getting SSL errors after starting irssi, try removing SSL certificate verification:

Bitcoin Full Node on AWS Free Tier

Provisioning

Launch one T2 micro instance, using Ubuntu 14.04 LTS AMI.
Open SSH and Bitcoin Protocol TCP ports: 22, 8333.
Attach 40GB EBS (General-Purpose SSD) volume for blockchain storage to /dev/sdf.

The pricing should be ~3$ for the first year (assuming 30GB upload per month). See here for more details.

This benchmark is outdated!

This benchmark was made with the first beta driver to support GM2xx chips. Unfortunately, it was a half-baked driver that failed to unleash this card's true potential. The production version of the driver resolved all performance issues with this card.

For the latest benchmarks, see https://gist.github.com/epixoip/abd64f1af800013abb1f

8x GTX 980 cudaHashcat Benchmark -- Inital

Product: Sagitta Brutalis 980 (PN S2480-GTX-980)

	import pyaudio
	import wave
	import audioop
	from collections import deque
	import os
	import urllib2
	import urllib
	import time
	import math

	cmake_minimum_required(VERSION 2.8.8)

	project(datetime)

	find_package(Boost COMPONENTS date_time REQUIRED)
	include_directories(${Boost_INCLUDE_DIRS})

	add_executable(datetime datetime.cpp)

	target_link_libraries(datetime ${Boost_LIBRARIES})

	#!/usr/bin/env python
	import sys
	if __name__ == "__main__":
	if len(sys.argv) < 2:
	print "usage: %s file.bin\n" % (sys.argv[0],)
	sys.exit(0)

	shellcode = "\""
	ctr = 1
	maxlen = 15

	Assuming the username of the Ubuntu user is "theusername".

	Preparation
	-----------

	```
	sudo apt-get update
	sudo apt-get upgrade

	sudo apt-get install build-essential libtool autotools-dev autoconf pkg-config libssl-dev