Sciweavers
Explore
Publications
Books
Software
Tutorials
Presentations
Lectures Notes
Datasets
Labs
Conferences
Community
Upcoming
Conferences
Top Ranked Papers
Most Viewed Conferences
Conferences by Acronym
Conferences by Subject
Conferences by Year
Tools
Sci2ools
International Keyboard
Graphical Social Symbols
CSS3 Style Generator
OCR
Web Page to Image
Web Page to PDF
Merge PDF
Split PDF
Latex Equation Editor
Extract Images from PDF
Convert JPEG to PS
Convert Latex to Word
Convert Word to PDF
Image Converter
PDF Converter
Community
Sciweavers
About
Terms of Use
Privacy Policy
Cookies
Free Online Productivity Tools
i2Speak
i2Symbol
i2OCR
iTex2Img
iWeb2Print
iWeb2Shot
i2Type
iPdf2Split
iPdf2Merge
i2Bopomofo
i2Arabic
i2Style
i2Image
i2PDF
iLatex2Rtf
Sci2ools
32
click to vote
CISIS
2008
IEEE
favorite
Email
discuss
report
105
views
Software Engineering
»
more
CISIS 2008
»
Petascale Computing for Large-Scale Graph Problems
14 years 5 months ago
Download
hpcc06.lrr.in.tum.de
David A. Bader
Real-time Traffic
CISIS 2008
|
Software Engineering
|
claim paper
Related Content
»
HighPerformance Algorithm Engineering for LargeScale Graph Problems and Computational Biol...
»
Large scale complex network analysis using the hybrid combination of a MapReduce cluster a...
»
Distributed Operator Placement and Data Caching in LargeScale Sensor Networks
»
On Static and Dynamic Partitioning Behavior of LargeScale Networks
»
Randomized consensus algorithms over large scale networks
»
How to solve large scale deterministic games with mean payoff by policy iteration
»
Effective Keyword Search for Software Resources Installed in LargeScale Grid Infrastructur...
»
Domain Adaptive Semantic Diffusion for Large Scale ContextBased Video Annotation
»
Large scale clustering of protein sequences with FORCE A layout based heuristic for weight...
more »
Post Info
More Details (n/a)
Added
29 May 2010
Updated
29 May 2010
Type
Conference
Year
2008
Where
CISIS
Authors
David A. Bader
Comments
(0)
Researcher Info
Software Engineering Study Group
Computer Vision