jkreps

Producer

Setup
bin/kafka-topics.sh --zookeeper esv4-hcl197.grid.linkedin.com:2181 --create --topic test-rep-one --partitions 6 --replication-factor 1
bin/kafka-topics.sh --zookeeper esv4-hcl197.grid.linkedin.com:2181 --create --topic test --partitions 6 --replication-factor 3

Single thread, no replication

bin/kafka-run-class.sh org.apache.kafka.clients.tools.ProducerPerformance test7 50000000 100 -1 acks=1 bootstrap.servers=esv4-hcl198.grid.linkedin.com:9092 buffer.memory=67108864 batch.size=8196

l0ki000

#!/bin/bash
# Cisco Anyconnect CSD wrapper for OpenConnect

# Enter your vpn host here
CSD_HOSTNAME=
if [[ -z ${CSD_HOSTNAME} ]]
then
    echo "Define CSD_HOSTNAME with vpn-host in script text. Exiting."
    exit 1
fi

patriciogonzalezvivo

VisualSFM by Changchang Wu

Probably the most straight forward way to start generating Point Clouds from a set of pictures.

VisualSFM is a GUI application for 3D reconstruction using structure from motion (SFM). The reconstruction system integrates several of my previous projects: SIFT on GPU(SiftGPU), Multicore Bundle Adjustment, and Towards Linear-time Incremental Structure from Motion. VisualSFM runs fast by exploiting multicore parallelism for feature detection, feature matching, and bundle adjustment.

For dense reconstruction, this program supports Yasutaka Furukawa's PMVS/CMVS tool chain, and can prepare data for Michal Jancosek's CMP-MVS. In addition, the output of VisualSFM is natively supported by Mathias Rothermel and Konrad Wenzel's [SURE]

micho

First, install nginx for mac with "brew install nginx".

Then follow homebrew's instructions to know where the config file is.

1. To use https you will need a self-signed certificate: https://devcenter.heroku.com/articles/ssl-certificate-self
2. Copy it somewhere (use full path in the example below for server.* files)
3. sudo nginx -s reload
4. Access https://localhost/

Edit /usr/local/etc/nginx/nginx.conf:

mbikovitsky

#ifndef _UNISTD_H
#define _UNISTD_H    1

/* This file intended to serve as a drop-in replacement for
 *  unistd.h on Windows.
 *  Please add functionality as neeeded.
 *  Original file from: http://stackoverflow.com/a/826027
 */

#include <stdlib.h>

Brainiarc7

Building Tensorflow from source on Ubuntu 16.04LTS for maximum performance:

TensorFlow is now distributed under an Apache v2 open source license on GitHub.

On Ubuntu 16.04LTS+:

Step 1. Install NVIDIA CUDA:

To use TensorFlow with NVIDIA GPUs, the first step is to install the CUDA Toolkit as shown:

jmruc

To generate a pom.xml file just run gradle writeNewPom

If you want to generate it as pom.xml in the root of the project, replace writeTo("$buildDir/newpom.xml") with writeTo("pom.xml")

jexp

import sun.misc.Unsafe;

import java.util.Arrays;
import java.util.Random;

/**
 * @author mh
 * @since 12.02.11
 */
public class StringSearcher {

brucemcpherson

'gistThat@mcpher.com :do not modify this line - see ramblings.mcpher.com for details: updated on 8/18/2014 3:54:19 PM : from manifest:7471153 gist https://gist.github.com/brucemcpherson/3414346/raw
Option Explicit
' v2.23  3414346

' Acknowledgement for the microtimer procedures used here to
' thanks to Charles Wheeler - http://www.decisionmodels.com/
' ---


#If VBA7 And Win64 Then

ManojNair

# Example:
# spark.master                     spark://master:7077
# spark.eventLog.enabled           true
# spark.eventLog.dir               hdfs://namenode:8021/directory
# spark.serializer                 org.apache.spark.serializer.KryoSerializer
# spark.driver.memory              5g
# spark.executor.extraJavaOptions  -XX:+PrintGCDetails -Dkey=value -Dnumbers="one two three"
spark.driver.extraClassPath        /glue/aws-glue-libs/jarsv1/*
spark.executor.extraClassPath      /glue/aws-glue-libs/jarsv1/*