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Scripts for the Automated Parallel Computation of Collaborative Statistical Models project

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462 Commits
20210410_analyze_performance_timestamps
20210410_analyze_performance_timestamps
 
 
HSG7_ROOT_build
HSG7_ROOT_build
 
 
caching_nut_old
caching_nut_old
 
 
code_nikhef-edit_sep28
code_nikhef-edit_sep28
 
 
numerical_integral_identification
numerical_integral_identification
 
 
profiling
profiling
 
 
rootbench
rootbench
 
 
rootbench_analysis
rootbench_analysis
 
 
scaling
scaling
 
 
tensorflow_testing
tensorflow_testing
 
 
testing
testing
 
 
tf_gen_graphs
tf_gen_graphs
 
 
.gitattributes
.gitattributes
 
 
.gitignore
.gitignore
 
 
Binned_scaling.ipynb
Binned_scaling.ipynb
 
 
Builder.py
Builder.py
 
 
GaussMinimizer.cpp
GaussMinimizer.cpp
 
 
GaussMinimizer.py
GaussMinimizer.py
 
 
GradMinimizer.cpp
GradMinimizer.cpp
 
 
GradMinimizer_Ndim.cpp
GradMinimizer_Ndim.cpp
 
 
GradMinimizer_Ndim_hierarchical.cpp
GradMinimizer_Ndim_hierarchical.cpp
 
 
LICENSE.txt
LICENSE.txt
 
 
NewWSBuilder.ipynb
NewWSBuilder.ipynb
 
 
README.md
README.md
 
 
WorkspaceBuilder.ipynb
WorkspaceBuilder.ipynb
 
 
WorkspaceOffline.py
WorkspaceOffline.py
 
 
acat19.cpp
acat19.cpp
 
 
acat19_ND_gauss.cpp
acat19_ND_gauss.cpp
 
 
benchmark_data_20190828.tar.gz
benchmark_data_20190828.tar.gz
 
 
bla
bla
 
 
buildBinnedTest3.cxx
buildBinnedTest3.cxx
 
 
caching_nut.py
caching_nut.py
 
 
higgs_fit_20210310.cpp
higgs_fit_20210310.cpp
 
 
higgs_fit_20210310_comb.conf
higgs_fit_20210310_comb.conf
 
 
higgs_fit_20210310_ggF.conf
higgs_fit_20210310_ggF.conf
 
 
int2ext_precision_problem.py
int2ext_precision_problem.py
 
 
int2ext_precision_problem_2.py
int2ext_precision_problem_2.py
 
 
int2ext_precision_solution.py
int2ext_precision_solution.py
 
 
int2ext_precision_solution_lourens.py
int2ext_precision_solution_lourens.py
 
 
lydia1_obs_par.py
lydia1_obs_par.py
 
 
lydia1_obs_par.pyc
lydia1_obs_par.pyc
 
 
lydia1_print_params_observs.C
lydia1_print_params_observs.C
 
 
lydia2_obs_par.py
lydia2_obs_par.py
 
 
lydia2_obs_par.pyc
lydia2_obs_par.pyc
 
 
lydia2_params_observs.txt
lydia2_params_observs.txt
 
 
lydia2_print_params_observs.C
lydia2_print_params_observs.C
 
 
model_to_graphviz.C
model_to_graphviz.C
 
 
onlyGradMinimizer.cpp
onlyGradMinimizer.cpp
 
 
only_normal_Minimizer.cpp
only_normal_Minimizer.cpp
 
 
runBinnedTest.cxx
runBinnedTest.cxx
 
 
time_scaling.py
time_scaling.py
 
 
unbinned_scaling2.cpp
unbinned_scaling2.cpp
 
 
vincemark.cpp
vincemark.cpp
 
 
workbench.cpp
workbench.cpp
 
 
workbench_sarajevo.cpp
workbench_sarajevo.cpp
 
 
workbench_sarajevo_MP.cpp
workbench_sarajevo_MP.cpp
 
 

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parallel-roofit-scripts

This is a collection of scripts and code used in the Automated Parallel Computation of Collaborative Statistical Models project. In this project, we aim to improve performance of the RooFit toolkit through parallelization techniques. This project is a collaboration with principal investigator Wouter Verkerke, the main author of RooFit, and is carried out at NIKHEF. For more information about the project see the Netherlands eScience Center website or the eScience Center eStep software portal.

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Scripts for the Automated Parallel Computation of Collaborative Statistical Models project

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