VecGeom: A new vectorized geometry library for particle-detector simulation

• Sandro Christian Wenzel (CERN)

Status and Roadmap of CernVM

• Jakob Blomer (CERN)
• Gerardo Ganis (CERN)

Large-Scale Merging of Histograms using Distributed In-Memory Computing

• Jakob Blomer (CERN)

CernVM WebAPI - Controlling Virtual Machines from the Web

• Ioannis Charalampidis (CERN)

Progress in Geant4 electromagnetic physics modeling and validation

• Vladimir Ivantchenko (CERN)

The GeantV project: preparing the future of simulation

• F. Carminati

Adapting Geant4 to task parallelism

• John Apostolakis (CERN)

Geant4 Computing Performance Benchmarking and Monitoring

• Soon Yung Jun (Fermi National Accelerator Lab. (US))

[merged]

• Soon Yung Jun (Fermi National Accelerator Lab. (US))

GeantV: first vector physics models merged with Detector Simulation On Modern Coprocessors

Detector Simulation On Modern Coprocessors

• Soon Yung Jun (Fermi National Accelerator Lab. (US))
• Philippe Canal (Fermi National Accelerator Lab. (US))

ROOT6: the quest for performance

• Danilo Piparo (CERN)

The ROOT 6 Runtime

• Axel Naumann (CERN)

Using R in ROOT with the ROOT-R package

• Lorenzo Moneta (CERN)

New developments in the ROOT function and fitting classes

• Lorenzo Moneta (CERN)

Clad - Automatic Differentiation Using Cling/Clang/LLVM

• Lorenzo Moneta (CERN)
• Vasil Georgiev Vasilev (CERN)

ROOT 6 and beyond: TObject, C++14 and many cores.

• Philippe Canal (Fermi National Accelerator Lab. (US))

Base ROOT reference guide on Doxygen

• Olivier Couet (CERN)

The ROOT reference guide is part of the code. Classes description, methods usage, examples etc... are all embedded with the code itself. Doxygen is the reference model allowing to extract the documentation from such self described system. The ROOT documentation requires the development of specific tools (scripts) in the Doxygen context. The proposed project is these tools writing.

New Continuous Integration and Automated Testing Environment for ROOT

• Philipp Fritz Schoppe (Fachhochschule Münster Münster Uni. of Applied Sciences (FR))
• Pere Mato Vila (CERN)

How do particle physicists learn the programming concepts they need?

• Maria Grazia Pia (Universita e INFN (IT))

(The speaker will be designated at a later stage)

Testable physics by design

• Maria Grazia Pia (Universita e INFN (IT))

(The speaker will be designated at a later stage)

Experimental quantification of Geant4 PhysicsList recommendations: methods and results

• Maria Grazia Pia (Universita e INFN (IT))

(The speaker will be designated at a later stage)

Scientometrics of Monte Carlo simulation: lessons learned and how HEP can profit from them

• Maria Grazia Pia (Universita e INFN (IT))

(The speaker will be designated at a later stage)

First statistical analysis of Geant4 software quality metrics

• Elisabetta Ronchieri (INFN)

(The speaker will be designated at a later stage)