Speaker
Description
RooFit is a toolkit for statistical modeling and fitting, presented first at CHEP2003, and together with RooStats is used for measurements and statistical tests by most experiments in particle physics, particularly the LHC experiments.
As the LHC program progresses, physics analyses become more ambitious and computationally more demanding, with fits of hundreds of data samples to joint models with over a thousand parameters no longer an exception. While such complex fits can be robustly performed in RooFit, they may take many hours on a single CPU, significantly impeding the ability of physicists to interactively understand, develop and improve them. Here were present recent RooFit developments to address this, focusing on significant improvements of wall-time performance of complex fits.
A complete rewrite of the internal back-end of the RooFit likelihood calculation code in ROOT 6.28 now allows to massively parallelize RooFit likelihood fits in two ways. Gradients that are normally serially calculated inside MINUIT, and which dominate the total fit time, are now calculated in a parallel way inside RooFit. Furthermore, calculations of the likelihood in serial phases of the minimizer (initialization and gradient descent steps) are also internally parallelized. No modification of any user code is required to take advantage of these features.
A key to achieving good scalability for these parallel calculations is close to perfect load balancing over the workers, which is complicated by the fact that for realistic complex fit models the calculations to parallelize cannot be split in components of equal or even comparable size. As part of this update, instruments have been added to RooFit for extensive performance monitoring that allow the user to understand the effect of algorithmic choices in task scheduling and mitigate performance bottlenecks.
We will show that that with a new dynamic scheduling strategy and a strategic choice of ordering derivative calculations excellent scalability can be achieved, resulting in an order-of-magnitude wall-time speedups for complex realistic LHC fits such as the ATLAS Run-2 combined Higgs interpretation.
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