Name
Abstract | ||
|---|---|---|
Collaboratively monitoring and analyzing large scale simulations from petascale computers is an important area of research and development within the scientific community. This paper addresses these issues when teams of colleagues from different research areas work together to help understand the complex data generated from these simulations. In particular, we address the issues when geographically diverse teams of disparate researchers work together to understand the complex science being simulated on high performance computers. Most application scientists want to focus on the sciences and spend a minimum amount of time learning new tools or adopting new techniques to monitor and analyze their simulation data. The challenge of eSimMon, our web-based system is to decrease or eliminate some of the hurdles on the scientists' path to scientific discovery, and allow these collaborations to flourish. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/CTS.2010.5478506 | CTS |
Keywords | Field | DocType |
data visualization,motion pictures,computational modeling,simulation,petascale computing,computer simulation,workflows,analytics,visualization,data models,groupware,collaboration,high performance computing,complex data,dashboard | Data science,Data modeling,Data visualization,Supercomputer,Collaborative software,Computer science,Visualization,Analytics,Petascale computing,Workflow | Conference |
ISBN | Citations | PageRank |
978-1-4244-6619-1 | 0 | 0.34 |
References | Authors | |
6 | 9 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Roselyne Tchoua | 1 | 64 | 4.49 |
| Scott Klasky | 2 | 1547 | 99.00 |
| Norbert Podhorszki | 3 | 1046 | 83.84 |
| Brad Grimm | 4 | 1 | 0.71 |
| Ayla Khan | 5 | 1 | 0.71 |
| Emanuele Santos | 6 | 939 | 52.64 |
| Cláudio T. Silva | 7 | 5054 | 290.90 |
| Pierre Mouallem | 8 | 26 | 3.46 |
| Mladen A. Vouk | 9 | 452 | 49.92 |