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Wednesday, March 2 • 3:30pm - 3:50pm
Data Analytics Approaches & Tools: Handling Clusters with a Task-based Runtime System: Application to Geophysics

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Many paradigms of parallelism have been derived from MPI to form the MPI+X combinations in order to improve for instance load-imbalance issues. Unfortunately, these solutions are difficult to develop, port and optimize since they involve different programming levels and because they generally use a static mapping in the MPI layer. We propose to use a single task-based paradigm which offer dynamism through work-stealing and which can tackle distributed heterogeneous machines using advanced runtime systems. The ease of portability comes from the powerful DAG description which hides the hardware and prevent the use of explicit communications. We compared MPI-based version and task-based version on Geophysics simulations, especially on the DIVA code of Total. Our previous studies demonstrated the task-based paradigm superiority on shared memory architectures (CPU or MIC), we are now working on distributed and heterogeneous architectures (CPUs+MICs) and, according to our preliminary results, the performance are still better than the MPI-version.


Helene Barucq

senior research scientist, Inria
avatar for Lionel Boillot

Lionel Boillot

Expert Engineer, Inria

Henri Calandra

Henri Calandra obtained his M.Sc. in mathematics in 1984 and a Ph.D. in mathematics in 1987 from the Universite des Pays de l’Adour in Pau, France. He joined Cray Research France in 1987 and worked on seismic applications. In 1989 he joined the applied mathematics department of the French Atomic Agency. In 1990 he started working for Total SA. After 12 years of work in high performance computing and as project leader for Pre-stack Depth... Read More →

Wednesday March 2, 2016 3:30pm - 3:50pm
BioScience Research Collaborative Building (BRC), Room 103

Attendees (9)