View
30
Download
4
Category
Preview:
DESCRIPTION
A Pictorial Introduction to Components in Scientific Computing. Input. Output. Program. Once upon a time. Bottle Neck. As Scientific Computing grew. Tried to ease the bottle neck. 1. 1. 2. 2. 1. 3. 3. 4. 4. 2. 4. 3. SPMD was born. But it isn’t easy!!!. But it isn’t - PowerPoint PPT Presentation
Citation preview
A Pictorial Introduction to Components
in Scientific Computing
2
Once upon a time...
Input
Output
Program
3
As Scientific Computing grew...
4
Tried to ease the bottle neck
5
SPMD was born.
21
3 4
21
3 4
2
1
3
4
6
SPMD worked.
21
3 4
21
3 4
2
1
3
4
But it isn’t
easy!!!
But it isn’t
easy!!!
7
Meanwhile, corporate computing was growing in a different way
Input
Output
Program
browser
spreadsheet
editor
graphics
databasemultimedia
email client
Unicode
Input
8
This created a whole new set of problems complexity
browser
spreadsheet
editor
graphics
databasemultimedia
email client
Unicode
Interoperability across multiple languages
Interoperability across multiple platforms
Incremental evolution of large legacy systems (esp. w/ multiple 3rd party software)
9
Component Technology addresses these problems
10
So what’s a component ???
Implementation :No Direct Access
Interface Access :Generated by Tools
Matching Connector :Assigned by FrameworkHidden from User
11
1. Interoperability across multiple languages
C
C++ F77 Java
Python
Language &Platform
independentinterfaces
Automaticallygenerated
bindings toworking code
12
2. Interoperability Across Multiple Platforms Imagine a company
migrates to a new system, OS, etc.
What if the source to
this one part is lost???
13
Transparent Distributed Computing
internetinternet
These wiresare very,
very smart!
14
3. Incremental Evolution WithMultiple 3rd party software
v 1.0
v 2.0 v 3.0
15
Now suppose you find this bug...
v 1.0
v 2.0 v 3.0
16
Good news: an upgrade available
v 1.0
v 2.0 v 3.0
Bad news: there’s a dependency
2.1
2.0
17
v 3.0 2.1
2.0
Great News: Solvable with Components
18
v 1.0
Great News: Solvable with Components
2.1 v 3.0
2.0
19
Why Components for Scientific Computing Complexity
Interoperability across multiple languages
Interoperability across multiple platforms
Incremental evolution of large legacy systems (esp. w/ multiple 3rd party software)
Sapphire
SAMRAI
Ardra Scientific Viz
DataFoundry
Overture
linear solvers hypre
nonlinear solvers
ALPS
JEEP
20
The Model for Scientific Component Programming
Science
Ind
ustry
?CCA
21
The End
Recommended