Training

Interested in this webinar? See more webinars like this. Speaker Prof. Jeffrey S. Dunham, Professor of Physics, Middlebury College Prof. Jeffrey S. Dunham has taught physics for 34 years at Middlebury College in Middlebury, Vermont, where he is now William R. Kenan Jr. Professor of Natural Sciences. He currently conducts experimental research in nonlinear dynamics. He is using HPC techniques at the workstation level to analyze large data sets from experiments that can be performed in a small-college laboratory. He received the Bachelor of Science degree in physics from the University of Washington in 1975 and the Ph.D. in physics from Stanford University in 1981. Presentation Savitzky-Golay Filter Algorithm for Large One-Dimensional Data Sets A chaotic pendulum experiment in our laboratory performs about 275 million digitized angle measurements in a 24-hour day. A Poincaré plot of the raw data shows significant and unacceptable discretization effects from the optical rotary encoder used to measure angle. The raw data is therefore passed through a Savitzky-Golay (SG) filter [...]

Interested in this webinar? See more webinars like this. Speaker Pablo González de Aledo Marugán, Postdoctoral Research Assistant, Imperial College of London Pablo González de Aledo studied telecommunications engineering at thec University of Cantabria, Santander, Spain, and finished his studies at the Network-on-Chip team in ST-Microelectronics Grenoble, France. After working in the modeling and simulation of high-performance, multi-core and heterogeneous platforms for some European projects he became interested in the theory behind formal methods and worst-case-execution-time and moved to the Department of Computing at Macquarie University, Sydney, Australia, to complement his Ph. D. studies. He is now a Postdoctoral Research Assistant at Imperial College of London. Presentation An optimization approach for the computational modeling of biological development Current research in the field of computational biology often involves simulations on high-performance computer clusters. It is crucial that the code of such simulations is very efficient and correctly reflects the model [...]

Interested in this webinar? See more webinars like this. Speaker Dr. Anastasia Perepelkina, Researcher, Keldysh Institute of Applied Mathematics Dr. Anastasia Perepelkina is a researcher at the Keldysh Institute of Applied Mathematics in Moscow, Russia. Plasma particle-in-cell simulation has been her main scientific interest since the master’s program at the NRNU MEPhI and it is the topic of her PhD thesis. She is a member of the laboratory with a long history of the development of plasma simulation methods, efficient algorithms, and applications. Beyond that, she has worked on the implementation of high-order schemes in high-performance codes for stencil simulation in optics and seismology, and on the application of the resulting code. Presentation Particle-in-cell Code with LRnLA Algorithms, Performance Tests on KNL CFHall is a plasma simulation code based on a particle-in-cell method. It uses the finite difference method on a rectangular mesh for Maxwell equations, and couples it to superparticle traversal the mesh in a self-consistent approach. The uniqueness of CFHall [...]

Interested in this webinar? See more webinars like this. Speaker Dr. Adedoyin Adetokunbo “Toks”, Staff Scientist Los Alamos National Laboratory Dr. Adedoyin Adetokunbo (“Toks”) is currently a Staff Scientist at Los Alamos National Laboratory (LANL). He currently serves as a member of the Future Application and Architectures (FAA) and Application Performance Team (APT). Previously worked as a postdoctoral fellow at University of Notre Dame’s Mechanical Engineering department. He served as a lead in constitutive modeling of complex heterogeneous materials. A native of Nigeria, Toks arrived in Mississippi in the year 2000, and acquired his Bachelor’s in Applied Mathematics and Mechanical Engineering. In addition, he received his Master’s degrees in field of Computational Fluid Dynamics with an emphasis in turbulence modeling in real and spectral space. He then completed his Ph.D. in Computational Engineering with a focus on modeling and simulating phase transformation in polycrystalline materials. Presentation A case study on software [...]

Interested in this webinar? See more webinars like this. Speaker Dr. Fabio Baruffa, Sr. HPC Application Specialist Leibniz Supercomputing Centre Since 2016, Dr. Fabio Baruffa is Senior HPC Application Specialist at Leibniz Supercomputing Centre (LRZ) in Munich. He is a member of the Intel Parallel Computing Center (IPCC) at LRZ, focusing on code modernization and porting of scientific applications. Prior to LRZ, he has worked as HPC researcher at Max-Planck Computing and Data Facility (MPCDF), Jülich Research Center and Cineca Supercomputing involved in HPC software development and analysis of scientific codes. His main research interests are in the area of computational methods and optimizations for HPC systems. He holds a PhD in Physics from University of Regensburg for his research in the area of spintronics device and quantum computing. Presentation Performance Optimization of SPH Algorithms for Multi/Many-Core Architectures In the framework of the Intel Parallel Computing Centre at the Research Campus Garching in Munich, our group at LRZ presents recent results on performance [...]