Name
Title | ||
|---|---|---|
Snowmass Energy Frontier Simulations using the Open Science Grid (A Snowmass 2013 whitepaper). |
Abstract | ||
|---|---|---|
Snowmass is a US long-term planning study for the high-energy community by the American Physical Society's Division of Particles and Fields. For its simulation studies, opportunistic resources are harnessed using the Open Science Grid infrastructure. Late binding grid technology, GlideinWMS, was used for distributed scheduling of the simulation jobs across many sites mainly in the US. The pilot infrastructure also uses the Parrot mechanism to dynamically access CvmFS in order to ascertain a homogeneous environment across the nodes. This report presents the resource usage and the storage model used for simulating large statistics Standard Model backgrounds needed for Snowmass Energy Frontier studies. |
Year | Venue | Keywords |
|---|---|---|
2013 | CoRR | grid,atlas,computing,lhc |
Field | DocType | Volume |
Large Hadron Collider,Late binding,Grid computing,Scheduling (computing),Storage model,Open science,Frontier,Grid,Particle physics,Physics,Distributed computing | Journal | abs/1308.0843 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
12 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| A. Avetisyan | 1 | 0 | 0.34 |
| S. Bhattacharya | 2 | 22 | 5.04 |
| M. Narain | 3 | 0 | 0.68 |
| Sanjay Padhi | 4 | 30 | 2.16 |
| J. Hirschauer | 5 | 0 | 0.34 |
| Tanya Levshina | 6 | 23 | 1.90 |
| Patricia McBride | 7 | 4 | 0.74 |
| Chander Sehgal | 8 | 17 | 1.30 |
| M. Slyz | 9 | 0 | 0.34 |
| M. Rynge | 10 | 0 | 0.34 |
| S. Malik | 11 | 137 | 14.95 |
| J. Stupak III | 12 | 0 | 0.34 |