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Wednesday, September 23 • 3:15pm - 4:15pm
Benchmarking C++ Code

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With the ending of Moore's Law and the rise of multicore systems, programmers from across the industry are increasing forced to develop and maintain highly performance sensitive software. For C++, a language frequently used for performance sensitive projects, benchmarking and performance analysis is especially important. Developing good benchmarks can be tricky; gathering and analyzing data from benchmarks can be an even greater challenge.

This talk will discuss techniques and best practices for writing C++ benchmarks using facilities from the standard library and Boost. We'll also cover the development of performance unit/regression tests. We'll discuss the statistical best practices for gathering data, as well as techniques for benchmarking a variety of different metrics - time, memory, algorithmic complexity, etc.

The main topics which will be covered:

* Statistical Best Practices (dealing with uncertainty, achieving statistical confidence, how to sample)
* Time-Based Benchmarking (best practices for timing, derived time-based metrics)
* Non-Time-Based Benchmarking (memory, algorithmic complexity in time and space, etc)
* Techniques for C++-specific Performance Metrics (counting copies/moves, allocator tricks)
* Converting Benchmarks into Tests

avatar for Bryce Adelstein Lelbach

Bryce Adelstein Lelbach

Lawrence Berkeley National Laboratory
Bryce Adelstein Lelbach is a researcher at Lawrence Berkeley National Laboratory (LBNL), a US Department of Energy research facility. Working alongside a team of hardware engineers and scientists, he develops and analyzes new parallel programming models for exascale and post-Moore architectures. Bryce is one of the developers of the HPX C++ runtime system. He spent five years working on HPX while he was at Louisiana State University's Center... Read More →

Wednesday September 23, 2015 3:15pm - 4:15pm
Hopper Theater Meydenbauer Center