C++ Benchmarking Tutorial using Google Benchmark

This repository is a practical example of common pitfalls in benchmarking high-performance applications. It's extensively-commented source is also available in a more digestible article form.

Quick Start Guide

Clone the repository and execute the following commands to build and run the tutorial:

cmake -B ./build_release
cmake --build ./build_release --config Release
./build_release/tutorial

# For JSON output
./build_release/tutorial --benchmark_format=json

# For output to a file
./build_release/tutorial --benchmark_out=results.json

# To match a specific benchmark
./build_release/tutorial --benchmark_filter=i32_addition

Compatibility and Special Features

While primarily designed for GNU C Compiler, this tutorial is also compatible with Clang. Note that certain features may not work with LLVM, MSVC, ICC, NVCC, and other compilers. It includes practical demonstrations of Parallel STL in GCC, focusing on different std::execution policies in the std::sort algorithm. For advanced parallel algorithm benchmarks, see ashvardanian/ParallelReductionsBenchmark.

There are more articles on benchmarking in the "Less Slow" blog:

• Optimizing C++ & CUDA for High-Speed Parallel Reductions
• Challenges in Maximizing DDR4 Bandwidth
• Comparing GCC Compiler and Manual Assembly Performance
• Enhancing SciPy Performance with AVX-512 & SVE.

Advanced Google Benchmark Features

Random Interleaving

To enhance stability and reproducibility, use the --benchmark_enable_random_interleaving=true flag which shuffles and interleaves benchmarks as described here.

./build_release/tutorial --benchmark_enable_random_interleaving=true

Benchmark Comparison

Utilize Google Benchmark's compare.py tool for CLI-based comparison of benchmarking results from different JSON files. The repository contains screenshots of the comparison of the following benchmarks:

• AMD Threadripper PRO 3995WX against Dual AMD EPYC 7302 16-Core CPUs: screenshot
• AMD Threadripper PRO 3995WX with -O3 vs -O1 optimization levels: screenshot

Performance Counters with Google Benchmark

Google Benchmark supports User-Requested Performance Counters through libpmf. Note that collecting these may require sudo privileges.

sudo ./build_release/tutorial --benchmark_enable_random_interleaving=true --benchmark_format=json --benchmark_perf_counters="CYCLES,INSTRUCTIONS"

Alternatively, use the Linux perf tool for performance counter collection:

sudo perf stat taskset 0xEFFFEFFFEFFFEFFFEFFFEFFFEFFFEFFF ./build_release/tutorial --benchmark_enable_random_interleaving=true --benchmark_filter=super_sort

Example output on AMD Threadripper PRO 3995WX:

 Performance counter stats for 'taskset 0xEFFFEFFFEFFFEFFFEFFFEFFFEFFFEFFF ./build_release/tutorial --benchmark_enable_random_interleaving=true --benchmark_filter=super_sort':

       23048674.55 msec task-clock                #   35.901 CPUs utilized          
           6627669      context-switches          #    0.288 K/sec                  
             75843      cpu-migrations            #    0.003 K/sec                  
         119085703      page-faults               #    0.005 M/sec                  
    91429892293048      cycles                    #    3.967 GHz                      (83.33%)
    13895432483288      stalled-cycles-frontend   #   15.20% frontend cycles idle     (83.33%)
     3277370121317      stalled-cycles-backend    #    3.58% backend cycles idle      (83.33%)
    16689799241313      instructions              #    0.18  insn per cycle         
                                                  #    0.83  stalled cycles per insn  (83.33%)
     3413731599819      branches                  #  148.110 M/sec                    (83.33%)
       11861890556      branch-misses             #    0.35% of all branches          (83.34%)

     642.008618457 seconds time elapsed

   21779.611381000 seconds user
    1244.984080000 seconds sys