Benchmarks

Simple repository comparing the Raspberry Pi 4, Raspberry Pi IO Board compute module and the NVIDIA Jetson Nano.

TODO, add a table here with some result

Tests for RPI's and Jetson Nano:

• Sequential performance
• CPU multithreading performance
• GPU multithreading
• SIMD(CPU) and cache performance
• SIMT(GPU) performance
• SIMD/SIMT + CPU/GPU multithreading performance

Tools used and needed:

• gprof for baseline benchmarks and code execution performance
• perf for flamegraphs showing CPU utilization and stack performance
• NVCC for CUDA compilation
• g++ for C++ compilation
• std::chrono for naive time logging

Logic/algorithms implemented

• Matrix arithmetic (addition, subtraction, multiplication)
• Primality Tests & Generation
• TODO...

Installation & Usage

Prerequisites

For running on bare system:

• gcc/g++ v10+
• C++-20
• nvcc v10.2+
• gprof
• perf
• Flamegraph

# compile
$ make compile
# install binary to /usr/bin
$ make install
# uninstall
$ make uninstall

Otherwise, use Docker...

# create docker image
$ make docker_img
# run
$ make docker_run

$ ./benchsys 
Usage: benchsys [-d | -b cpu | gpu ]
  -d : daemon mode to monitor system information
  -b : benchmark mode to run system stress tests with live monitoring
    cpu - run CPU-based benchmarks
    gpu - run GPU-based benchmarks

Installing CUDA

See here: https://developer.nvidia.com/cuda-downloads?target_os=Linux&target_arch=arm64-sbsa&Compilation=Native&Distribution=Ubuntu&target_version=20.04&target_type=deb_network

Base installation

$ wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/sbsa/cuda-keyring_1.1-1_all.deb
$ sudo dpkg -i cuda-keyring_1.1-1_all.deb
$ sudo apt-get update
$ sudo apt-get -y install cuda-toolkit-12-3

NVIDIA CUDA Drivers

$ sudo apt-get install -y cuda-drivers
$ sudo apt-get install -y nvidia-kernel-open-545
$ sudo apt-get install -y cuda-drivers-545

See here: https://docs.nvidia.com/cuda/cuda-installation-guide-linux/#switching-between-driver-module-flavors