PPT-GPU-Based Parallel Solver via Kantorovich Theorem for The N

Author : luanne-stotts | Published Date : 2018-01-07

Polynomial Systems Feifei Wei Jieqing Feng Hongwei Lin Seminar in Computer Graphics Spring 2017 Dr Gershon Elber Technion Lotem Fridman by 1 Agenda Introduction

Presentation Embed Code

Download Presentation

Download Presentation The PPT/PDF document "GPU-Based Parallel Solver via Kantorovic..." is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.

GPU-Based Parallel Solver via Kantorovich Theorem for The N: Transcript

Polynomial Systems Feifei Wei Jieqing Feng Hongwei Lin Seminar in Computer Graphics Spring 2017 Dr Gershon Elber Technion Lotem Fridman by 1 Agenda Introduction Tensor Preliminaries. Lecturer: . Qinsi. Wang. May 2, 2012. Z3. high-performance theorem . prover. being developed at Microsoft Research.. mainly by Leonardo de . Moura. and . Nikolaj. . Bjørner. . . Free (online interface, APIs, …) . Multiphysics. HPC Applications . CS267 . – Spring 2013. John Shalf. With contributions from: . Gabrielle Allen, Tom . Goodale. , Eric . Schnetter. , Ed Seidel (AEI/LSU). Phil . Colella. , Brian Van . Circulant. Linear Systems with Applications to Acoustics. Suzanne Shontz, University of Kansas . Ken . Czuprynski. , University of . Iowa. John . Fahnline. , Penn State. EECS 739: Scientific Parallel Computing. Richard Peng. M.I.T.. Joint work with Dan Spielman (Yale). Efficient Parallel Solvers for SDD Linear Systems. Richard Peng. M.I.T.. Work in progress with . Dehua. Cheng (USC),. Yu Cheng (USC), . Yintat. for Incompressible and Compressible Flows . with Cavitation. Sunho . Park. 1. , Shin Hyung Rhee. 1. , and . Byeong. . Rog. Shin. 2. 1 . Seoul National . University, . 2 . Changwon. National . University. Circulant. Linear Systems with Applications to Acoustics. Suzanne Shontz, University of Kansas . Ken . Czuprynski. , University of Iowa. John . Fahnline. , Penn State. EECS 739: Scientific Parallel Computing. John W. Chinneck, M. . Shafique. Systems and Computer Engineering. Carleton University, Ottawa, Canada. Introduction. Goal: . Find a . good quality. integer-feasible MINLP solution . quickly. .. Trade off accuracy for speed. Application-oriented tools based on Open-source solutions: New potentialities for CFD integration into the Design Process. Introduction . Benchmark and solver requirement . OpenFOAM. ®. adaptations. Richard Peng. M.I.T.. Joint work with Dan Spielman (Yale). Efficient Parallel Solvers for SDD Linear Systems. Richard Peng. M.I.T.. Work in progress with . Dehua. Cheng (USC),. Yu Cheng (USC), . Yintat. Students will be able to. Determine whether two lines are parallel. Write flow proofs. Define and apply the converse of the theorems from the previous section. Objectives. You can use certain angle pairs to determine if two lines are parallel. Execution Engines. Mihai Budiu, Daniel Delling, Renato Werneck. Microsoft Research - Silicon Valley. IEEE International Parallel & . Distributed Processing Symposium. IPDPS 2011. DDPEEs. Execution. Demeshko. (SNL), S. Price (LANL) and M. Hoffman (LANL). Saturday, March 14, 2015. SIAM Conference on Computational Science & Engineering (CS&E) 2015. Salt Lake City, UT. On the Development & Performance of a First Order Stokes Finite Element Ice Sheet . Circulant. Linear Systems with Applications to Acoustics. Suzanne Shontz, University of Kansas . Ken . Czuprynski. , University of Iowa. John . Fahnline. , Penn State. EECS 739: Scientific Parallel Computing. Circulant. Linear Systems with Applications to Acoustics. Suzanne Shontz, University of Kansas . Ken . Czuprynski. , University of . Iowa. John . Fahnline. , Penn State. EECS 739: Scientific Parallel Computing.

Download Document

Here is the link to download the presentation.
"GPU-Based Parallel Solver via Kantorovich Theorem for The N"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.