Sysbench

Sysbench

Setup :

#yum -y remove mariadb-libs

#yum localinstall https://dev.mysql.com/get/mysql80-community-release-el7-3.noarch.rpm -y

#yum install mysql-community-server -y

#yum install mysql-community-devel.x86_64

#service mysqld restart

#wget  http://downloads.mysql.com/source/sysbench-0.4.12.14.tar.gz

#tar zxvf sysbench-0.4.12.14.tar.gz

#cd sysbench-0.4.12.14
#./autogen.sh

#./configure --with-mysql

#make 

#make install

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Running:

CPU benchmark

#sysbench --test=cpu --cpu-max-prime=20000 --max-time=120 run

Memory benchmark

#sysbench --test=memory  --max-time=120 run

IO benchmark

#sysbench --test=fileio --file-total-size=1G --file-test-mode=rndrw prepare

#sysbench --test=fileio --file-total-size=1G --file-test-mode=rndrw run

Clean the test file

#sysbench --test=fileio --file-total-size=1G --file-test-mode=rndrw cleanup

MySQL benchmark

#vim /etc/my.cnf

add new line under [mysqld] 

skip-grant-tables

# service mysqld restart

#mysql -u root -p

Input Aa123456

mysql>create database sbtest;

Execute in another terminal

#sysbench --test=oltp --db-driver=mysql --oltp-table-size=10000 --mysql-db=sbtest --mysql-user=root --mysql-password=Aa123456 prepare

#sysbench --test=oltp --db-driver=mysql --oltp-table-size=10000 --mysql-db=sbtest --mysql-user=root --mysql-password=Aa123456 run

Clean the test file

#sysbench --test=oltp --db-driver=mysql --oltp-table-size=10000 --mysql-db=sbtest --mysql-user=root --mysql-password=Aa123456 cleanup

Unixbench

Unixbench

https://code.google.com/archive/p/byte-unixbench/downloads 
(download 5.1.3 version)

#tar zxvf unixbench-5.1.3.tar.gz

#cd unixbench-5.1.3

#make
#./Run

It will run about 1 hour.

GPU burn

GPU burn

Install driver

Install cuda

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Check all well by listing your GPUs (Command 1 below) and checking the properties of GPUs ( Command 2 below) , and checking nvcc is setup (Command 3 below). If you don’t get a meaningful response, most likely something is off with your environment variables or worst case your driver / CUDA version

1. nvidia-smi
2. nvidia-smi -q
3. nvcc -V

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Download gpu burn from 

https://github.com/wilicc/gpu-burn

#unzip gpu-burn-master.zip

#cd gpu-burn-master

#make

Running GPU Burn (Few example commands below)

1.  ./gpu_burn  (Single precision GPU burn for 10 seconds)
2. ./gpu_burn -d ( Double precision GPU burn for 10 seconds)
3. ./gpu_burn 120 (Single precision GPU burn for 120 seconds)