Files
gnss-sdr/tests/benchmarks
Carles Fernandez 37e830c0e0 benchmark_pcps_grid: skip all channel threads when setup fails
If the multi-channel fixture setup fails on thread 0 (no CUDA device,
or out of device memory at high channel counts), thread 0 skips and
returns before the timed loop. Google Benchmark then releases the other
threads from the start barrier, and they call compute_grid() on engines
that were never created, which crashes the whole benchmark binary.

Add a ready flag that setup() sets only on success. Every thread checks
it at the top of the timed loop, which is the first point where threads
1..N-1 can see the outcome of the setup, and skips the run instead.

Also add the missing <string> include for the fixture's error member.
2026-10-08 19:06:32 +02:00
..
2026-09-22 08:15:11 +02:00

Benchmarks

This is a collection of implementation benchmarks based on Benchmark. It is useful to developers for assessing which is the fastest implementation of a given snippet of code in their machine, and to keep a track about them over different machines and compilers. The results may vary over different system architectures, compiler versions, building modes, C++ standard version used by the compiler, etc.

If Benchmark is not found in your system, CMake will download, build and statically link against that library for you at building time.

This collection is only built if the option ENABLE_BENCHMARKS is enabled when configuring gnss-sdr project's building:

$ cmake -DENABLE_BENCHMARKS=ON ..

Basic usage

Just execute the binaries generated in your install folder.

Example:

$ cd ../install
$ ./benchmark_copy

Output formats

The benchmarks support multiple output formats. Use the --benchmark_format=<console|json|csv> flag (or set the BENCHMARK_FORMAT=<console|json|csv> environment variable) to set the format type. console is the default format.

Write benchmark results to a file with the --benchmark_out=<filename> option.

Example:

$ ./benchmark_copy --benchmark_format=json --benchmark_out=benchmark_copy.json

Statistics

The number of runs of each benchmark is specified globally by the --benchmark_repetitions flag. When a benchmark is run more than once the mean, median and standard deviation of the runs will be reported.

Example:

$ ./benchmark_copy --benchmark_repetitions=10