CSC/ECE 506 Fall 2007/wiki1 2 3K8i: Difference between revisions
Jump to navigation
Jump to search
(Scientific/engineering application trends) |
No edit summary |
||
| Line 1: | Line 1: | ||
What characterizes present-day applications? How much memory, processor time, etc.? How high is the speedup? | |||
Computational modeling/simulation: why, benefits. in-depth analysis can be performed cheaply on hypothetical designs. | |||
There is a direct correlation between computational performance and the problems that can be studied through simulation. | |||
Some well known examples (Grand Challenge Problems) | |||
Physics, chemistry, astronomy, material science, biology ... demand for visualization of results. | |||
Cognition! | |||
Game playing! - chess, checkers (Jonathon Schaefer) | |||
Linpack benchmark | |||
Links: | |||
http://en.wikipedia.org/wiki/High_Performance_Computing | |||
http://www.top500.org/ | |||
http://en.wikipedia.org/wiki/Grand_Challenge_problem | |||
Revision as of 20:08, 1 September 2007
What characterizes present-day applications? How much memory, processor time, etc.? How high is the speedup?
Computational modeling/simulation: why, benefits. in-depth analysis can be performed cheaply on hypothetical designs.
There is a direct correlation between computational performance and the problems that can be studied through simulation.
Some well known examples (Grand Challenge Problems)
Physics, chemistry, astronomy, material science, biology ... demand for visualization of results.
Cognition!
Game playing! - chess, checkers (Jonathon Schaefer)
Linpack benchmark
Links:
http://en.wikipedia.org/wiki/High_Performance_Computing