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**Course Number:** CSCI 596

**Class Number:** 30280D

**Instructor:**
Aiichiro Nakano;
office: VHE 610; phone: (213) 821-2657; email: anakano@usc.edu

**Lecture:** 3:30-4:50pm M W, SOS B46

**Office Hours:** 3:30-4:50pm F

**Prerequisites:** Basic knowledge of programming, data structures,
linear algebra, and calculus; a nice introduction for a non-computer science student to fill the gap:
Y. Patt and S. Patel,
Introduction to Computing Systems: From Bits and Gates to C and beyond.

**Textbooks:**

W. D. Gropp, E. Lusk, and A. Skjellum, "Using MPI, 2nd Ed."
(MIT Press, 1999)--recommended

M. Woo, et al., "OpenGL Programming Guide, Version 4.3, 8th Ed."
(Addison-Wesley, 2013)--recommended

A. Grama, A. Gupta, G. Karypis, and V. Kumar, "Introduction to Parallel Computing, 2nd Ed."
(Addison-Wesley, 2003)--recommended

** Course Description **

Particle and continuum simulations are used as a vehicle to learn basic elements of high
performance scientific computing and visualization. Students will obtain
hands-on experience in: 1) formulating a mathematical model to describe a physical
phenomenon; 2) discretizing the model, which often consists of continuous differential
or integral equations, into algebraic forms in order to allow numerical solution on
computers; 3) designing/analyzing numerical algorithms to solve the algebraic equations
efficiently on parallel computers; 4) translating the algorithms into a program;
5) performing a computer experiment by executing the program;
6) visualizing simulation data in an immersive and interactive virtual environment;
and 7) managing/mining large datasets.

Visualization of a billion-atom reactive molecular dynamics simulation of cavitation bubble collapse in water on 163,840 IBM Blue Gene/P cores.

- 8/25/14 (M): The class begins.