Histogram Speeds in Python

Let’s compare several ways of making Histograms. I’m going to assume you would like to end up with a nice OO histogram interface, so all the 2D methods will fill a Physt histogram. We will be using a 2 x 1,000,000 element array and filling a 2D histogram, or 10,000,000 elemends in a 1D histogram. Binnings are regular.

1D 10,000,000 item histogram

Example KNL MBP X24
Numpy: histogram 704 ms 147 ms 114 ms
Numpy: bincount 432 ms 110 ms 117 ms
fast-histogram 337 ms 45.9 ms 45.7 ms
Numba 312 ms 58.8 ms 60.7 ms

2D 1,000,000 item histogram

Example KNL MBP X24
Physt 1.21 s 293 ms 246 ms
Numpy: histogram2d 456 ms 114 ms 88.3 ms
Numpy: add.at 247 ms 62.7 ms 49.7 ms
Numpy: bincount 81.7 ms 23.3 ms 20.3 ms
fast-histogram 53.7 ms 10.4 ms 7.31 ms
fast-hist threaded 0.5 (6) 62.5 ms 9.78 ms (6) 15.4 ms
fast-hist threaded (m) 62.3 ms 4.89 ms 3.71 ms
Numba 41.8 ms 10.2 ms 9.73 ms
Numba threaded (6) 49.2 ms 4.23 ms (6) 4.12 ms
Cython 112 ms 12.2 ms 11.2 ms
Cython threaded (6) 128 ms 5.68 ms (8) 4.89 ms
PyBind11 sequential 93.9 ms 9.20 ms 17.8 ms
PyBind11 OpenMP atomic 4.06 ms 6.87 ms 1.91 ms
PyBind11 C++11 atomic (32) 10.7 ms 7.08 ms (48) 2.65 ms
PyBind11 C++11 merge (32) 23.0 ms 6.03 ms (48) 4.79 ms
PyBind11 OpenMP merge 8.74 ms 5.04 ms 1.79 ms

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Announcing CLI11 1.6

CLI11, a powerful library for writing beautiful command line interfaces in C++11, has been updated to 1.6, the largest update ever. CLI11 output is more customizable than ever, and has a better functionality separation under the hood.

CLI11 has had the formatting system completely redesigned, with minor or complete customization of the output possible. Configuration files reading and writing also can be configured; a new example with json instead of ini formatting is included. Validators (finally) have custom help output, as well. Many odd corner cases have been made possible, such as interleaving options.

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CMake 3.11

CMake 3.11 was just released; this is particularly exciting release for CMake. I’d like to give a quick and friendly introduction to the new features that might make the largest difference for CMake users.

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Announcing GooFit 2.1

GooFit logo

GooFit 2.1 introduces the full-featured Python bindings to GooFit. These bindings mimic the C++ usage of GooFit, including bindings for all PDFs, and also provide NumPy-centric conversions, live Jupyter notebook printing, pip install, and more. Most of the examples in C++ are provided in Python form, as well.

Several other API changes were made. Observables are now distinguished from Variables and provided as a separate class. Both these classes are now passed around by copy everywhere.1 The three and four body amplitude classes have been refactored and simplified. OpenMP is now supported via homebrew on macOS; GooFit is one of the only packages that currently can build with OpenMP on the default macOS compiler. Eigen is now available, and CLI11 has been updated to version 1.3.

GooFit 2.1 will receive continuing support while development on GooFit 2.2 presses on with a new indexing scheme for PDFs.

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