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EuroSciPy 2013

Brussels, Belgium - August 21-24 2013

Memory profiling

Philippe Gervais


Development of efficient numerical algorithms requires precisely monitoring execution time and resource consumption. When working with large datasets, memory consumption can be a real bottleneck. We present a small extension to memory-profiler ( that allows recording of memory usage along time, and some experimental facts about Numpy/Scipy memory usage. A few best practices are highlighted.

Attached files

Poster, 90dpi (suitable for screen)