WORKSHOP "HPC UD ‘17”
High Performance and Scientific Computing Consultant, e-architectures researcher, processing to visualization. (Multiprocessing, load balancing, Scheduling, heterogeneous and accelerated computing).
Instructor and Teacher in Numerical Analysis, Distributed Systems, Modeling and Simulation (Scientific Computing), Performance Evaluation, Systems Architecture and Scalable Architectures.
Modeling and Simulation Researcher (Scientific Computing)
Assistant Professor - Systems engineering and informatics school, Universidad Industrial de Santander.
Director - High Performance and Scientific Computing Unit, Universidad Industrial de Santander
Leader of the High Performance and Scalable Architectures of the RedCLARA Network.
Dr. Jaime H. Moreno is Distinguished Researcher, Senior Manager in the Data Centric Systems department at the IBM Thomas J. Watson Research Center in New York, where he focuses on next-generation supercomputing systems. He joined the IBM Research Division in 1992, and has led various teams on microprocessor and high-performance system architecture, design and performance analysis. He has published multiple papers and two books, holds many patents in processor architecture, and has been recognized as Master Inventor at IBM Research. His current research interests address future supercomputers and the convergence of Cognitive Computing with High-Performance Computing. Before joining IBM, he was a faculty member at the University of Concepcion, Chile. He received his Ph.D. and M.S. degrees in Computer Science from the University of California Los Angeles, and a degree in Electrical Engineering from the University of Concepcion, Chile.
Gerardo Hernández Correa is an application engineer manager at MathWorks. Gerardo and his team focus on helping MATLAB users with their parallel computing and Data Analytics applications. He holds degrees in Physics, Mechanical Engineering and Mathematics.
Kevin Jorissen has 10 years of experience in computational science. He holds a Ph.D. from the University of Antwerp (Belgium) and worked as a postdoctoral researcher at the University of Washington in Seattle, the EPFL in Lausanne, and the Universität Zürich. As a physicist, he developed software solving the quantum physics equations for light absorption by materials. His work improved theoretical calculations of X-ray absorption (XAS) and electron energy loss spectroscopy (EELS), and is included in the FEFF9 and WIEN2k codes. Kevin also taught workshops to scientists worldwide, and was an early adopter of high performance scientific computing in the cloud. This combination of better software, teaching, and access to cloud resources enabled more scientists to apply cutting-edge simulations in their research. It was a natural transition for Kevin to join Amazon in 2015 to help accelerate the adoption of cloud computing in the scientific community globally. He engages with scientists in various disciplines, represents AWS in academic-industry partnerships such as the Berkeley RISElab and the NSF BigData Hubs, and is responsible for projects such as the AWS Researcher’s Handbook and the Global Data Egress Waiver for Research.
Pedro Mário Cruz e Silva did his Bachelor in Mathematics (1995), and Master in Science (MSc) in Combinatorial Optimization (1998) at Federal University of Pernambuco (UFPE), he also did his Doctoral (DSc) in Computer Graphics (2004) at Pontifical University of Rio de Janeiro (PUC-Rio). Worked for 15 years at Tecgraf Institute/PUC-Rio as a Researcher, Project Manager and for 8 years as Manager of Computational Geophysics Group, during this period was responsible for several Software Development and R&D projects for Geophysics, and other fields of the Oil&Gas industry, with strong focus on innovation. Has more than 10 years' experience with Agile Methodologies for Software Development, including Certified Scrum Master (CSM) and Certified Scrum Product Owner (CSPO). He also finished a Master's in Business Administration (MBA) in 2015 at Getúlio Vargas Foundation (FGV/RJ). As a volunteer project he is member of the main board of The Brazilian Geophysical Society (SBGf) as the Secretary of Publications. Recently joined the NVIDIA team as a Solution Architect for Latin America with special interest for Deep Learning applications for Oil&Gas industry.
Raphael Mendes de Oliveira Cóbe has a Ph.D. on Computer Science from the Mathematics and Statistics Institute of the University of São Paulo with emphasis on Artificial Intelligence. He accounts for over 10 years of experience on software development. Nowadays he works as Research Associate at UNESP Center for Scientific Computing, working mainly on projects related to cloud, grid computing and big data.
Silvio Luiz Stanzani is Research Associate at UNESP Center for Scientific Computing (Núcleo de Computação Científica da Universidade Estadual Paulista – NCC/UNESP), working on the Intel Modern Code Partner project. He holds a Ph.D. from Escola Politécnica da Universidade de São Paulo (EPUSP), and a Master from Universidade Católica de Santos (Unisantos). He has experience in software development focused on parallel programming and distributed computing since 2005.