Now showing items 1-3 of 3
The fast multipole method at exascale
(Georgia Institute of Technology, 2013-11-26)
This thesis presents a top to bottom analysis on designing and implementing fast algorithms for current and future systems. We present new analysis, algorithmic techniques, and implementations of the Fast Multipole Method ...
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 ...
Generalized N-body problems: a framework for scalable computation
(Georgia Institute of Technology, 2013-08-26)
In the wake of the Big Data phenomenon, the computing world has seen a number of computational paradigms developed in response to the sudden need to process ever-increasing volumes of data. Most notably, MapReduce has ...