Fernando Cucchietti (Barcelona Supercomputer Center, Spain): Visualization.
After getting his Ph. D. in quantum physics from the University of Cordoba, Argentina, Fernando Cucchietti started working as a Director's Postdoctoral Fellow in Los Alamos National Laboratory, USA. He worked with Eddy Timmermans, Wojciech H. Zurek, and Juan Pablo Paz. From Los Alamos he moved to Barcelona, Spain, to work in the Institute of Photonic Sciences as a Caixa Manresa Postdoctoral Fellow with Maciej Lewenstein, Antonio Acin, and Ignacio Cirac. In 2011 he moved to a position at the Barcelona Supercomputing Center to work on combustion simulation, and shortly afterwards to lead the newly created Scientific Visualization Team.
Nicolas Pinto (Massachusetts Institute of Technology, USA): Biological Models, Neural Networks, PyCUDA.
Nicolas Pinto is the Chief Scientist and the Chief Technology Officer of two Silicon Valley stealth startups, focusing on the development of human-level brain-inspired perception technologies and their real-time applications on low-power embedded devices. He holds two M.S. in Computer Science and Engineering from France (UTBM/ENSISA, 2007), and a Ph.D. in Neuroscience from the USA (MIT, 2010) supported by NSF, DARPA, Google, Amazon, Microsoft and two NVIDIA Fellowships. Previously he was a graduate-level Lecturer in Computer Science at Harvard SEAS teaching Massively Parallel Computing, and a Research Scientist in Prof. Jim DiCarlo's Lab at MIT and Prof. David Cox's Lab at Harvard (2012) developing large-scale computational models of the visual cortex.
Karl Rupp (Argonne National Lab, EEUU) Heterogeneous Computing, OpenCL, PETSc.
Karl Rupp received the BSc degree in electrical engineering from the Technische Universität Wien in 2006, the MSc degree in computational mathematics from Brunel University in 2007, and the degree of Diplomingenieur in microelectronics and in technical mathematics from the Technische Universität Wien in 2009. He completed his doctoral degree on deterministic numerical solutions of the Boltzmann transport equation in 2011 and is now working as a postdoctoral appointee at the Mathematics and Computer Science Divison at the Argonne National Laboratory. His scientific interests include generative programming of discretization schemes such as the finite element method for the use in semiconductor device simulations and high-level implementations of linear algebra for modern computing hardware while preserving high performance.
Eduardo Bringa (ICB-CONICET, UNCuyo, Argentina): Molecular Dynamics in Heterogeneous Clusters.
Flavio Colavecchia (Centro Atómico Bariloche, Argentina): MAGMA Linear Algebra for GPU and Multicore.
Flavio Colavecchia se Licenció en Física en la Universidad de Buenos Aires, obtuvo su doctorado en la especialidad en el Instituto Balseiro, Argentina, y llevó a cabo su trabajo postdoctoral en la división Física Teórica del Laboratorio Nacional de Los Alamos, EEUU. Trabaja en la aplicación de nuevas técnicas de cálculo científico a problemas de física de colisiones entre átomos, iones y moléculas, especializándose en procesamiento masivamente paralelo. En la actualidad es Investigador Independiente del Consejo Nacional de Investigacion Cientifica y Tecnicas (CONICET) y docente en la materia Métodos numéricos de las carreras de Ingeniería del Instituto Balseiro. También se desempeña como jefe de División Física Atómica, Molecular y Óptica de la Gerencia de Física del Centro Atomico Bariloche, en Río Negro, Argentina.