CERN SFT

The SFT is part of CERN (European Organization for Nuclear Research).

Technologies

python
javascript
c++
clang

Topics

machine learning
cloud
numerical and data analysis software
simulation software
http://ep-dep-sft.web.cern.ch/
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Projects

Contributor

gdphys

Integration of Spark parallelisation in TMVA

The proposed project involves the support for Spark parallelization in TMVA. Machine learning procedures like k-fold cross validation, hyper...

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Contributor

Attila Bagoly

Integrating Machine Learning in Jupyter Notebooks

Toolkit for Multivariate Data Analysis (TMVA) is a framework (part of data analysis framework ROOT) which contains ML packages, frequently used by...

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Contributor

Simon Pfreundschuh

GPU-accelerated Deep Neural Networks in TMVA

During recent years deep learning techniques haven proven extremely powerful in many different applications and have successfully been applied to...

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Contributor

Oleg.jakushkin

BLonD code optimization strategy for parallel and concurrent architectures

Our objective is to determine the best architectural and parallelization options for the BLonD future C++ code base. Project includes: Existing...

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Contributor

Aditi Dutta

Reflection-based Python-C++ language bindings: cppyy - Integrate the Cling backend into PyPy/cppyy

For the purpose of High Energy Physics (HEP) Experiments, the framework required should be able to support the scale and complexity of HEP codes....

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Contributor

Joel Fuentes

Implementation of task-based transport for GeantV

The current parallelism model of GeantV is data-oriented where a static set of threads is predefined to perform the work, the set of transport...

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Contributor

vikasnt

New Physics Model in Sixtrack package

SixTrack is a 6D particle tracking code used to compute the trajectories of individual relativistic charged particles in circular accelerators. It...

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Dmitry Sorokin

Multistep methods for integrating trajectory in field

Implementation of Adams multistep methods in Geant4

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Contributor

Peter Whidden

Performance 3D Web Graphics with Interactive Features for JSRoot

The ROOT project is developing a JavaScript library for reading and rendering ROOT objects in modern web browsers. The rendering of 3D objects is...

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Contributor

Abhinav Moudgil

TMVA Project in Machine Learning

Toolkit for Multivariate Data Analysis (TMVA), integrated into the ROOT framework hosts a variety of machine classification methods which have become...

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