PPT-Monte Carlo Simulation of Photon Migration in 3D Turbid Media using GPUs

Leiming Yu Fanny NinaParavecino David Kaeli Qianqian Fang 1 Outline Monte Carlo eXtreme GPU Computing MCX in OpenCL Conclusion 2 Monte Carlo eXtreme Estimates the 3D light fluence. X is a random vector in is a function from to and E Note that could represent the values of a stochastic process at di64256erent points in time For example might be the price of a particular stock at time and might be given by so then is the expe G.S. Karlovits, J.C. Adam, Washington State University. 2010 AGU Fall Meeting, San Francisco, CA. Outline. Climate change and uncertainty in the Pacific Northwest. Data, model and methods. Climate data. Steven . Gollmer. Cedarville University. Meet and Greet Game. Are there people here who share the same birthday?. Most births occur in September & October. October 5. th. is the most common birthday. Analysis. Jake Blanchard. University of . Wisconsin - Madison. Spring . 2010. Introduction. Monte Carlo analysis is a common way to carry out uncertainty analysis. There are tools you can add in to Excel, but we will start by doing some of this on our own.. Caroline Steiblin. Prof. Al . Goshaw. Dr. Andrea . Bocci. Duke University. 1. Purpose. C. omparing . Monte-Carlo (MC) simulations of Z boson mass reconstruction from . muons. , photons, and electrons . Lyes. . Lakhal. Institut Polytechnique . LaSalle. Beauvais. Rue Pierre WAGUET. BP 30313. F-60026 BEAUVAIS . Cedex, France.. . Workshop on Tensor Decompositions and . Applications. , . 2010. Sept. 13-17, 2010, Monopoli, Bari, Italy. 3. . . Empirical . classical PES and typical . procedures . of . optimization. 3.03. Monte Carlo and other heuristic procedures. Exploring n-dimensional space. Exploration of energy landscapes of n-dimensional . SIMULATION. Simulation . of a process . – the examination . of any emulating process simpler than that under consideration. .. Examples:. System’s Simulation such as simulation of engineering systems, large organizational systems, and governmental systems. Monte Carlo In A Nutshell. Using a large number of simulated trials in order to approximate a solution to a problem. Generating random numbers. Computer not required, though extremely helpful . A Brief History. Monte . Carlo Simulation. Monte Carlo simulations in PSpice can be run as either:. a worst case analysis where the maximum deviation from the nominal values of each component are used in the calculations. Prompt . Neutron . Emission . During. Acceleration in Fission. T.. . Ohsawa. . Kinki University. Japanese Nuclear Data Committee. IAEA/CRP on PFNS, Vienna, Dec. 13-16, 2011. q. ε. Overall agreement between. A . simulation technique . uses a probability experiment to mimic a real-life situation.. The . Monte Carlo method . is a simulation technique using random numbers.. Bluman, Chapter 14. 1. Bluman, Chapter 14. Rustom D. Sutaria – Avia Intelligence 2016 , Dubai Introduction Risk analysis is an increasing part of every decision we make where aircraft maintenance planning & reliability are concerned . A utlineutline . . efinition of Efficiency efinition of Efficiency actors that actors that ender current MC codes fast enough for clinical render current MC codes fast enough for clinical reatment pl