Laboratorio Progettazione Sistemi Elettronici


Seminar "High performance computing on tensor streaming processors for large-scale dense linear algebra"

Prof. Ernesto Bonomi (Università di Cagliari) - Date: 18/05/2023 - 14:00-16:00                                                            
Abstract: This presentation will be introductory and cross-cutting to the world of numerical modeling and experimentation. Emphasis will be on the development of applications from research to industrialization. The use of artificial intelligence, in the context of scientific computing and data analysis as a feedback mechanism to numerical simulation, will be briefly discussed. This has led to the definition of digital twins and the reduction of model order. In the second part, with emphasis on machine learning and dense algebra, the static and deterministic dataflow computing paradigm that characterizes Groq's Tensor Streaming Processor (TSP) will be presented. The novelty of this SIMD approach will be illustrated through a summary of the HW architecture and its scalability. The resulting HPC programming environment will be illustrated with some application examples.                                                                                                                                   
Curriculum: Ernesto Bonomi graduated in 1977 as an Engineer in Physics from the Swiss Federal Institute of Technology, Lausanne, Switzerland. In 1980, he completed the Advanced Master's degree in Physics (Doctorat de 3-ème Cycle) at the University of Orléans, France. In 1985 he was awarded a Ph.D. in Theoretical Physics (Doctorat ès Science Physique) at the Ecole Polytechnique and University of Paris XI, France. Former Director at CRS4 of the "HPC for Energy & Environment" Sector, with about 20 research staff, designing, developing and applying large-scale simulation models and data analysis tools for earth exploration and seismic imaging, hydrology, meteorology, nuclear engineering, clean combustion processes and smart energy management. Responsible for all research and development functions, including scientific leadership, project planning, marketing, fund raising, proposals, budget and recruitment. Introduced an approach of research and development that stresses the concept of innovation and high- added valued numerical applications in both areas, Energy and Environment. Currently, Adjunct Professor of "Numerical Simulation and HPC" at the Department of Mathematics and Computer science of the University of Cagliari, and consultant in the areas of scientific applications of HPC and science education.


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