Computing - High Performance Computing

Fabien Delalondre received his PhD in Computational Mechanics from Mines ParisTech in 2007. At CEMEF - the research centre of Mines ParisTech - he worked on the development of parallel adaptive numerical methods to support the modelling of the Adiabatic Shear Band phenomenon that occurs in high speed machining. In 2008, he joined the Scientific Computation Research Center (SCOREC) in Rensselaer Polytechnic Institute, New York, USA; first as a Postdoctoral Research Associate and later on, as a Senior Research Associate. At SCOREC, he worked on the development of parallel adaptive methods and multiscale simulation software to be executed on massively parallel computers. His work formed part of the Interoperable Technologies for Advanced Petascale Simulations (ITAPS) project funded by the American Department of Energy. This project focused on developing common interfaces between various large-scale parallel scientific software components. He joined the Blue Brain Project (BBP) in 2011, first as a Multiscale Simulation Architect, before he was promoted to Project Manager of the High Performance Computing and Simulation group. At the BBP, he is in charge of leading a group of researchers focused on developing HPC/HTC middleware and application software, leading and implementing the BBP’s HPC roadmap for petascale transition, contributing to the Dynamic Exascale Entry Platform (DEEP) EU project, the Argonne Leadership Computing Facility (ALCF) Theta Early Science Program and to the BBP software development strategy. His interests include parallel computing, numerical methods and multiscale modelling, error estimation and adaptation, software engineering, volunteer, cloud and HPC system, and co-design.

 

Publications

‪A. Devresse, F. Delalondre, F. Schürmann, Blue Brain Project Fully Automated Workflows and Ecosystem to guarantee Scientific Result Reproducibility across Platforms, Software Environment and Systems. International Conference for High Performance Computing, Networking, Storage and Analysis 2015, Austin, Texas.‬

‪T. Ewart, S. Yates, F. Cremonesi, P. Kumbhar, F. Schuermann, F. Delalondre, Performance Evaluation of the IBM POWER8 system to Support Computational Neuroscientific Application Using Morphologically Detailed Neurons. PMBS15 Workshop, Supercomputer 2015, Austin, Texas.‬

‪F. Schürmann, F. Delalondre, Pramod Shivaj, J. Biddiscombe, M. Gila, D. Tacchella, A. Curioni, B. Metzler, P. Morjan, J. Fenkes, M. M. Franceschini, R.S. Germain, L. Schneidenbach, T. J. C. Ward, B.G. Fitch, Rebasing I/O for Scientific Computing: Leveraging Storage Class Memory in an IBM BlueGene/Q Supercomputer. In J.M. Kunkel, T. Ludwig, and H.W. Meuer (Eds.): ISC 2014, LNCS 8488, pp. 331--347. Springer International Publishing Switzerland‬

‪T. Ewart, F. Delalondre, F. Schuermann, Cyme: A Library Maximizing SIMD Computation on User-Defined Containers. In J.M. Kunkel, T. Ludwig, and H.W. Meuer (Eds.): ISC 2014, LNCS 8488, pp. 440--449. Springer International Publishing Switzerland‬

F. Delalondre, C.W. Smith, M.S. Shephard (2010) Collaborative Software Infrastructure for adaptive multiple model simulation, Computer Methods in Applied Mechanics and Engineering. 199 (21): 1352-1370.

A. Ovcharenko, D. Ibanez, F. Delalondre, O. Shani, K.E. Janser, C.D. Carothers, M.S. Shephard, Neigborhood Communication Paradigm to Increase Scalability in Large-Scale Dynamic Scientific Applications, Parallel Computing. 38 (3): pp. 140-156.