Colloq: Speaker Institution:
Ecole Polytechnique Federale de Lausanne (EPFL)
Colloq: Date and Time:
Thu, 2016-08-04 10:00
Building 5700, Room F234
Colloq: Host Email:
The Blue Brain Project (BBP), a project of the Ecole Polytechnique Federale de Lausanne (EPFL), implements a complex scientific workflow aiming at reconstructing digital models of brain tissue at multiple scales. Such a workflow includes a stack made of 50+ software having sometimes very different and evolving functional and performance requirements. In this talk we will present the challenges we face and the solutions we either implemented or are investigating in order to continuously build, simulate, analyze and visualize brain models using different levels of representation. This includes developing solutions to (a) Make scientists more productive: Structuring interactions between scientists and developers, developing solutions to ensure full scientific software reproducibility, defining development/execution workflows and associated tools, (b) Design an heterogeneous distributed infrastructure along with services to best support the scientific needs that include support for: Web applications and HPC, Cloud and Volunteer computing resources and (c) Build efficient scientific applications at scale through the development and usage of: performance portable solutions (DSL, Code abstraction and programming models including pragma directives and intrinsics, Performance models), solutions/interfaces leveraging deep memory hierarchy including non-volatile memory and the joint development of run-times (OmpSs, hStreams, HPX). Finally we will conclude this talk by giving our perspective on the critical items needed towards the development and use of Petascale and Exascale computers. With this talk we hope to expose the types of problems the Blue Brain Project is trying to tackle and hopefully initiate some fruitful discussions about the possible ways to best approach them over the next decade both at Petascale and Exascale.
Colloq: Speaker Bio:
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 modeling 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 Manager of the High Performance Computing 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/Exascale 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.