How can we measure the performance (run-time, memory usage etc) of our C++ code? And what does performance mean, anyway. These and other questions are the topic of this episode - with my guest Klaus Iglberger, C++ engineer, tutor and mentor.

Memory

• https://en.wikipedia.org/wiki/Non-uniform_memory_access something about memory access
• https://dl.acm.org/doi/10.1145/216585.216588 Ań article on 'Hitting the memory wall' how fast can memory access be?
• https://www.ibm.com/docs/en/xl-c-and-cpp-aix/13.1.3?topic=performance-managing-memory-efficiently-c-only what can we do to make memory usage more efficient

Tools

• https://valgrind.org Valgrind profiler
• https://www.intel.com/content/www/us/en/developer/tools/oneapi/vtune-profiler.html vtune profiler
• https://ftp.gnu.org/old-gnu/Manuals/gprof-2.9.1/html_mono/gprof.html gprof profiler from GNU
• https://quick-bench.com Quick online Benchmarking tool
• https://godbolt.org see what your compiler actually does
• https://github.com/google/googletest Google C++ test framework
• https://github.com/boost-ext/ut UT test framework
• https://github.com/google/benchmark Google benchmark tool
• https://github.com/catchorg/Catch2 catch2 framework
• https://learn.microsoft.com/en-us/visualstudio/profiling Profiling with Visual Studio

Misc

• https://medium.com/swlh/reliable-performance-testing-in-c-1df7a3ba398 article on performance testing
• https://scholarworks.umt.edu/cgi/viewcontent.cgi?referer=&httpsredir=1&article=1375&context=tme Historical review of complexity evaluations
• https://web.mit.edu/16.070/www/lecture/big_o.pdf The Big O Notation

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This podcast is brought to you by the Advanced Research Computing Centre of the University College London, UK.
Producer and Host: Peter Schmidt