Now showing items 1-5 of 5
Parallel algorithms for direct blood flow simulations
(Georgia Institute of Technology, 2012-02-21)
Fluid mechanics of blood can be well approximated by a mixture model of a Newtonian fluid and deformable particles representing the red blood cells. Experimental and theoretical evidence suggests that the deformation and ...
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 ...
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 ...
Algorithm design on multicore processors for massive-data analysis
(Georgia Institute of Technology, 2010-06-28)
Analyzing massive-data sets and streams is computationally very challenging. Data sets in systems biology, network analysis and security use network abstraction to construct large-scale graphs. Graph algorithms such as ...