HAG

From HP-SEE Wiki

Revision as of 09:29, 4 July 2011

General Information

• Application's name: High energy physics Algorithms on GPU
• Virtual Research Community: Computational Physics
• Scientific contact: Mihai Niculescu, mihai@spacescience.ro
• Technical contact: Mihai Niculescu, mihai@spacescience.ro
• Developers: High Energy Astrophysics and Advanced Tehnologies, Institute of Space Sciences, Romania
• Web site: http://tobefilledin/

Short Description

HAG - High energy physics Algorithms on GPU - goal is to implement common algorithms used in the study of heavy ions nuclear collisions. More specifically, some algorithms for nuclear flow studies are going to be implemented.

Problems Solved

Implemented algorithms for studying nuclear flow and the possibility to visualise data in real time make this application a great tool in research and with possibilities in education.

Thus, main problems solved by this application:

• cutting short the time taken to analyse data
• presenting a tool useful for young students who want to learn more about heavy ion nuclear collisions.

Scientific and Social Impact

Tobefilledin

Collaborations and Beneficiaries

Tobefilledin

Technical Features and HP-SEE Implementation

• Primary programming language: Tobefilledin
• Parallel programming paradigm: Tobefilledin
• Main parallel code: Tobefilledin
• Pre/post processing code: Tobefilledin
• Application tools and libraries: Enumerate (comma separated)
• Number of cores required: Tobefilledin
• Minimum RAM/core required: Tobefilledin
• Storage space during a single run: Tobefilledin
• Long-term data storage: Tobefilledin

Usage Example

Tobefilledin, text and (maybe) images.

Publications

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