/benchmarkingcpp_games_trading

Examples and presentation for Pacific++/MeetingC++ talk "Benchmarking C++. From video games to algorithmic trading"
  1. Jupyter Notebook 87.0%
  2. C++ 6.8%
  3. Python 5.6%
  4. CMake 0.6%
Branch: master
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Latest commit 4a30db6 Oct 21, 2018
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README.md

Low latency FizzBuzz !

Demo application for Pacific++ 2018 and MeetingC++ 2018

Talk "Benchmarking C++. From video games to trading"

Application runs FizzBuzz game on a simulated network data and outputs tracing stats for performance analysis.

Attached Jupyter notebook with basic analysis

To build

mkdir build cd build cmake ../ make