Now showing items 1-3 of 3
High performance computing for irregular algorithms and applications with an emphasis on big data analytics
(Georgia Institute of Technology, 2014-03-31)
Irregular algorithms such as graph algorithms, sorting, and sparse matrix multiplication, present numerous programming challenges, including scalability, load balancing, and efficient memory utilization. In this age of Big ...
Web-based front-end design and scientific computing for material stress simulation software
(Georgia Institute of Technology, 2014-12-04)
A precise simulation requires a large amount of input data such as geometrical descriptions of the crystal structure, the external forces and loads, and quantitative properties of the material. Although some powerful ...
Middleware for online scientific data analytics at extreme scale
(Georgia Institute of Technology, 2014-03-25)
Scientific simulations running on High End Computing machines in domains like Fusion, Astrophysics, and Combustion now routinely generate terabytes of data in a single run, and these data volumes are only expected to ...