Description

By standardizing the way different machines communicate during a running process, we can analyze bigger chunks of data in less time. ROOT MPI allows to communicate ROOT’s native objects on top of the C/C++ raw data types. ROOT’s serialization methods and optimal design of the new C++ standard permits the user to focus on the the algorithm instead of low level syntax.

Task ideas

• Extend existing communication schemas.
• Write support for MPI files (may consider some design or idea to integrate it to TFile)
• Write a memory window, shared memory and RMA support.
• Checkpoint support at least in OpenMpi and Mpich.
• Improve the error handler system and messages in the output.
• User tools:
  • Write a profiling tool.
  • Write a benchmarking module.
  • Integrate valgrind command to ROOTMpi command for debug.

Expected results:

• working implementation with tests and documentation
• A machine learning example integrated with TMVA that uses ROOTMpi
• Performance comparison with a basic example between ROOTMpi and Proof.

Requirements: Advance skills in C/C++, experience in parallel programming with MPI

Mentors:

• Omar Zapata Omar.Zapata@cern.ch
• Diego Restrepo restrepo@udea.edu.co
• Lorenzo Moneta Lorenzo.Moneta@cern.ch

Links:

• http://root.cern
• http://mpi-forum.org
• http://oproject.org/ROOTMpi
• https://root.cern.ch/proof

Corresponding Project

• ROOT

Participating Organizations

• UdeA
• CERN

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