Institute for Mathematics and its Applications (IMA) - IMA Tutorial: Scientific Computing Using Graphics Processors, January 9, 2011

HOME » PROGRAMS/ACTIVITIES » Annual Thematic Program

PROGRAMS/ACTIVITIES

Annual Thematic Program »Postdoctoral Fellowships »Hot Topics and Special »Public Lectures »New Directions »PI Programs »Math Modeling »Seminars »Be an Organizer »Annual »Hot Topics »PI Summer »PI Conference »Applying to Participate »

Simulating Our Complex World: Modeling, Computation and Analysis

IMA Tutorial
Scientific Computing Using Graphics Processors

January 9, 2011

Program Application

Maps

Live Streaming

Abstracts and Talk Materials

Workshop: High Performance Computing and Emerging Architectures, January 10-14, 2011

Organizers

Lorena A. Barba	Mechanical Engineering, Boston University
Eric Darve	Mechanics and Computation Group and Flow Physics and Computational Engineering Group, Stanford University
David E. Keyes	Applied Physics & Applied Mathematics, King Abdullah University of Science and Technology (KAUST); Applied Mathematics, Columbia University

Schedule

Sunday January 09, 2011
Eric Darve (Stanford University) – Chair morning session and the opening of the afternoon session. David E. Keyes (KAUST/Columbia University) will preside over at the end of Cris Cecka's afternoon session.
9:00am-9:30am	Registration and coffee		Lind Hall 400
9:30am-10:30am	Lecture 1: Implications of the exascale roadmap for algorithms	David Keyes (King Abdullah University of Science & Technology, Columbia University)	Lind Hall 305
10:30am-11:00am	Break		Lind Hall 400
11:00am-12:00pm	Lecture 2: Implications of the exascale roadmap for algorithms	David Keyes (King Abdullah University of Science & Technology, Columbia University)	Lind Hall 305
12:00pm-1:30pm	Lunch
1:30pm-2:30pm	Lecture 1: Scientific Computing using Graphics Processors	Cris Cecka (Stanford University)	Lind Hall 305
2:30pm-3:30pm	Lecture 2: Scientific Computing with Graphics Processors	Cris Cecka (Stanford University)	Lind Hall 305
3:30pm-4:00pm	Break		Lind Hall 400
4:00pm-4:30pm	Lecture 3: Introduction to heterogeneous computing with GPUs	Cris Cecka (Stanford University)	Lind Hall 305

Participants

NAME	DEPARTMENT	AFFILIATION
Cris Cecka	Computational and Mathematical Engineering	Stanford University
Aycil Cesmelioglu	Institute of Mathematics and its Applications	University of Minnesota
Jintao Cui	Institute of Mathematics and its Applications	University of Minnesota
Eric Darve	Department of Mechanical Engineering	Stanford University
Oscar Fernandez	Institute of Mathematics and its Applications	University of Michigan
Gaurav Gaurav	Civil Engineering	University of Minnesota
Dominik Göddeke	Fakultät für Mathematik	Universität Dortmund
Vincent Graziano	Performance Engineering	CRAY Inc
Shiyuan Gu	Department of Mathematics	Louisiana State University
Yulia Hristova	Institute of Mathematics and its Applications	University of Minnesota
Elizabeth Jessup	Department of Computer Science	University of Colorado
David Keyes	Division of Mathematical and Computer Sciences & Engineering	King Abdullah University of Science & Technology, Columbia University
Hengguang Li	Institute of Mathematics and its Applications	Syracuse University
Peng Li	Department of Electrical and Computer Engineering	University of Minnesota
Yu (David) Mao	Institute of Mathematics and its Applications	University of Minnesota
Dimitrios Mitsotakis	Institute of Mathematics and its Applications	University of Minnesota
Miguel Pauletti	Department of Mathematics	Texas A & M University
Weifeng (Frederick) Qiu	Institute of Mathematics and its Applications	University of Minnesota
Varun Ramesh	Department of Electrical Engineering	University of Minnesota
Hakizumwami Runesha		University of Minnesota
Habiballah Talavatifard	Department of Mathematics	Texas A & M University

Twin Cities Campus: Parking & Transportation Maps & Directions
Directories Contact U of M Privacy