SFHG

From HP-SEE Wiki

Revision as of 18:06, 21 March 2012

General Information

• Application's name: Self Avoiding Hamiltonian Walk on Gaskets
• Application's acronym: SFHG
• Virtual Research Community: Computational Physics Applications
• Scientific contact: Sreten Lekic, slekic@blic.net
• Technical contact: Sreten Lekic, slekic@blic.net
• Developers: Sreten Lekic, Faculty of Mech. Engineering, University of Banja Luka (UoBL), Bosnia - Herzegovina
• Web site: http://wiki.hp-see.eu/index.php/SFHG

Short Description

Hamiltonian self avoiding walks on fractals (Sierpinsky gaskets) are one of perspective models for long polymers (DNA, RNA and other bio polymers) behavior description.

FORTRAN algorithms for 2D and 3D were tested on multiprocessors core.

Problems Solved

Initial parallelization of process, partitioning.

Scientific and Social Impact

Not applicable yet as the application is mostly pushed to Y2 of the project

Collaborations and Beneficiaries

Not applicable yet as the application is mostly pushed to Y2 of the project

Technical Features and HP-SEE Implementation

• Primary programming language: FORTRAN
• Parallel programming paradigm: MPI
• Main parallel code: Tobefilledin
• Pre/post processing code: Not applicable yet as the application is mostly pushed to Y2 of the project
• Application tools and libraries: Not applicable yet as the application is mostly pushed to Y2 of the project
• Number of cores required: 512
• Minimum RAM/core required: 1GB
• Storage space during a single run: 10GB
• Long-term data storage: 40GB

Usage Example

Not applicable yet as the application is mostly pushed to Y2 of the project

Publications

Not applicable yet as the application is mostly pushed to Y2 of the project