Emissions Aftertreatment and Engine Cold-Starting Modeling. ORNL Investigators: Johney Green 1 , Stuart Daw 2 , Kalyan Chakravarthy 3 , Dean Edwards 3 , Zhiming Gao 3 , Jim Conklin 3 , Brian West 4 1 Program Manager, Vehicle Systems 2 Modeling Coordination 3 Modeling TeamBy liam
Introduction to Boston University’s Scientific Computing Facility. Doug Sondak firstname.lastname@example.org Scientific Computing and Visualization. Outline. Introduction Hardware Software Account Information Tutorials Some Basic Unix Commands How to Run Batch. Introduction.By barclay
Doing Business with Oak Ridge National Laboratory. Presented to 22 nd Annual OSDBU Procurement Conference Keith S. Joy, Director ORNL Small Business Programs Washington D.C. April 19, 2012. ORNL is DOE’s largest science and energy laboratory. $1.3B budget 4,350 employeesBy marv
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Christopher Hollowell Physics Department Brookhaven National Laboratory email@example.com. Scientific Linux Experience at RHIC Computing Facility. Red Hat Linux End Of Life Options. Red Hat Enterprise Linux Not cost effective when installed on a ~2800 CPU farm Debian, SuSE, Mandrake
Introduction to Boston University’s Scientific Computing Facility. Doug Sondak firstname.lastname@example.org Scientific Computing and Visualization. Outline. Introduction Hardware Software Account Information Tutorials Some Basic Unix Commands How to Run Batch. Introduction.
Scientific Computing. Numerical Solution Of Ordinary Differential Equations - Runge-Kutta Methods. Runge-Kutta Methods. If we take more terms in the Taylor’s Series expansion of f(t,x), we would get a more accurate solution algorithm.
Scientific Computing. Linear Systems – Gaussian Elimination. Linear Systems. Linear Systems. Solve Ax=b, where A is an n n matrix and b is an n 1 column vector We can also talk about non-square systems where A is m n , b is m 1, and x is n 1
Scientific Computing. Introduction to Matlab Programming. Today. We will introduce the programming environment for our course: Matlab We will cover: Basic Operations, Functions, Plotting Vectors, Looping Creating a new Function in a M-file. Why Matlab?.
Scientific Computing. Dr. Guy Tel- Zur. Version 28-05-2011.12:40. Agenda. Administration Visualization Visualization in Sage VisIt : Tutorial The Silo file format A demo program Animation Demo : AWS – HTC Instance for Parallel Computing and Cellular Automata / NKS demo on the cloud
Scientific Computing. Partial Differential Equations Explicit Solution of Heat Equation. The one-dimensional Heat Equation for the temperature u(x,t) in a rod at time t is given by: where c >0, T>0 are constants. One Dimensional Heat Equation.
Scientific Computing. Interpolation – Divided Differences Efficiency and Error Analysis. How is Interpolation used?. Here is a table of values for the temperature at a given depth for a lake. We want a good estimate of the temperature at a depth of 7.5 meters. Newton’s Nested Formula.
Scientific Computing. Linear Systems – LU Factorization. LU Factorization. Today we will show that the Gaussian Elimination method can be used to factor (or decompose ) a square, invertible, matrix A into two parts, A = LU, where:
Scientific Computing. Numerical Solution Of Ordinary Differential Equations - Euler’s Method. Bungee Jumper – Coupled ODEs. Bungee Jumper – Coupled ODEs. We want to model the vertical dynamics of a jumper connected to a stationary platform with a bungee cord. F=ma Forces :