This repository consists of various small-scale tests intended to help inform experimentation about pinned memory usage in kernel bypass networking stacks. Below, each individual experiment's purpose and how to run it is outlined:

The intended purpose of this benchmark is to measure how long it takes to register memory regions. To run the benchmark, run the following:

Install the following dependencies in the listed order:

Numa:

1. sudo apt-get update && sudo apt-get upgrade
2. sudo apt-get install libnuma-dev

Mellanox Driver:

1. wget https://www.mellanox.com/downloads/ofed/MLNX_OFED-<version>/MLNX_OFED_LINUX-<version>-<distribution>-<arch>.tgz Example: wget https://www.mellanox.com/downloads/ofed/MLNX_OFED-5.0-2.1.8.0/MLNX_OFED_LINUX-5.0-2.1.8.0-ubuntu18.04-x86_64.tgz
2. tar -xvf MLNX_OFED_LINUX-<version>-<distribution>-<arch>.tgz
3. cd MLNX_OFED_LINUX-<version>-<distribution>-<arch>
4. sudo ./mlnxofedinstall --upstream-libs --dpdk
5. Restart the driver: sudo /etc/init.d/openibd restart

Enable HugePages:

1. Run sudo /path/to/nicbenchmarks/dpdk/usertools/dpdk-setup.sh
2. Select #49 (or #6, depends on the script)
3. Enter 2048
4. Quit

DPDK:

1. git clone https://github.com/DPDK/dpdk.git
2. cd ./dpdk/
3. git checkout v19.11
4. git apply ../mlx5_registration.patch
5. make defconfig
6. make -j

To compile the program, execute the following steps:

1. Export RTE_TARGET: export RTE_TARGET=build
2. Export RTE_SDK: export RTE_SDK=/proj/demeter-PG0/murray22/nicbenchmarks/dpdk
3. Run make

To run the program, follow these steps:

1. Run ethtool -i [interface] and take note of the bus-info
2. Server: sudo build/register -c 0xff -n 4 -w [bus-info value found in #5] --proc-type=auto -- --mode=SERVER --ip=[ip of the machine] a. Example Server command: sudo build/register -c 0xff -n 4 -w 0000:41:00.0 --proc-type=auto -- --mode=SERVER --ip=192.168.1.1 --num_mbufs=2
3. Client: sudo build/register -c 0xff -n 4 -w [bus-info value found in #5] --proc-type=auto -- --mode=CLIENT -server_ip=[ip of the server] --ip=[ip of the machine] --server_mac=[mac address printed out by the server] --rate=120000 --message_size=1024 --time=10

This folder contains simulation code which runs over a twitter trace [CITE TRACE] and observes various statistics related to number of pages "pinned".