Free MIT Course: Performance Engineering of Software Systems

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  • perf-ninja

    This is an online course where you can learn and master the skill of low-level performance analysis and tuning.

  • Another good course with exercises: https://github.com/dendibakh/perf-ninja

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
  • MIT_OpenCourseWare-Performance_Engineering_of_Software_Systems

    Performance Engineering of Software Systems (6.172)

  • course repo with code and assignments is at: https://github.com/sourcery-ai-bot/MIT_OpenCourseWare-Perfor...

  • course repo with code and assignments is at: https://github.com/sourcery-ai-bot/MIT_OpenCourseWare-Perfor...

  • compiler-explorer

    Run compilers interactively from your web browser and interact with the assembly

  • resources were extra useful when building deeper intuitions about GPU performance for ML models at work and in graduate school.

    - CMU's "Deep Learning Systems" Course is hosted online and has YouTube lectures online. While not generally relevant to software performance, it is especially useful for engineers interested in building strong fundamentals that will serve them well when taking ML models into production environments: https://dlsyscourse.org/

    - Compiler Explorer is a tool that allows you easily input some code in and check how the assembly output maps to the source. I think this is exceptionally useful for beginner/intermediate programmers who are familiar with one compiled high-level language and have not been exposed to reading lots of assembly. It is also great for testing how different compiler flags affect assembly output. Many people used to coding in C and C++ probably know about this, but I still run into people who haven't so I share it whenever performance comes up: https://godbolt.org/

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