Browsing School of Computational Science and Engineering (CSE) by Title
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Generalized Nbody problems: a framework for scalable computation
(Georgia Institute of Technology, 20130826)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 everincreasing volumes of data. Most notably, MapReduce has ... 
Graph analysis combining numerical, statistical, and streaming techniques
(Georgia Institute of Technology, 20160331)Graph analysis uses graph data collected on a physical, biological, or social phenomena to shed light on the underlying dynamics and behavior of the agents in that system. Many fields contribute to this topic including ... 
Graphbased algorithms and models for security, healthcare, and finance
(Georgia Institute of Technology, 20160415)Graphs (or networks) are now omnipresent, infusing into many aspects of society. This dissertation contributes unified graphbased algorithms and models to help solve largescale societal problems affecting millions of ... 
Graphical Models for the Internet
(Georgia Institute of Technology, 20110429)In this talk I will present algorithms for performing large scale inference using Latent Dirichlet Allocation and a novel ClusterTopic model to estimate user preferences and to group stories into coherent, topically ... 
Gravity's Strongest Grip: A Computational Challenge
(Georgia Institute of Technology, 20101022)Gravitational physics is entering a new era driven by observation that will begin once gravitationalwave interferometers make their first detections. In the universe, gravitational waves are produced during violent events ... 
High performance computing for irregular algorithms and applications with an emphasis on big data analytics
(Georgia Institute of Technology, 20140331)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 ... 
Highperformance algorithms and software for largescale molecular simulation
(Georgia Institute of Technology, 20141217)Molecular simulation is an indispensable tool in many different disciplines such as physics, biology, chemical engineering, materials science, drug design, and others. Performing largescale molecular simulation is of great ... 
Highperformance computing for massive graph analysis
(Georgia Institute of Technology, 20101030) 
Highperformancecomputing challenges for heart simulations
(Georgia Institute of Technology, 20120831)The heart is an electromechanical system in which, under normal conditions, electrical waves propagate in a coordinated manner to initiate an efficient contraction. In pathologic states, propagation can destabilize and ... 
How much (execution) time and energy does my algorithm cost?
(Georgia Institute of Technology, 20120824)When designing an algorithm or performancetuning code, is timeefficiency (e.g., operations per second) the same as energyefficiency (e.g., operations per Joule)? Why or why not? To answer these questions, we posit a ... 
Implementation and analysis of a parallel vertexcentered finite element segmental refinement multigrid solver
(Georgia Institute of Technology, 20160428)In a parallel vertexcentered finite element multigrid solver, segmental refinement can be used to avoid all interprocess communication on the fine grids. While domain decomposition methods generally require coupled ... 
Influence modeling in behavioral data
(Georgia Institute of Technology, 20150515)Understanding influence in behavioral data has become increasingly important in analyzing the cause and effect of human behaviors under various scenarios. Influence modeling enables us to learn not only how human behaviors ... 
Integration of computational methods and visual analytics for largescale highdimensional data
(Georgia Institute of Technology, 20130702)With the increasing amount of collected data, largescale highdimensional data analysis is becoming essential in many areas. These data can be analyzed either by using fully computational methods or by leveraging human ... 
Intelligent hazard identification: Dynamic visibility measurement of construction equipment operators
(Georgia Institute of Technology, 20140326)Struckby fatalities involving heavy equipment such as trucks and cranes accounted for 24.6% of the fatalities between 19972007 in the construction industry. Limited visibility due to blind spots and travel in reverse ... 
The Joy of PCA
(Georgia Institute of Technology, 20100917)Principal Component Analysis is the most widely used technique for highdimensional or large data. For typical applications (nearest neighbor, clustering, learning), it is not hard to build examples on which PCA "fails." ... 
Leveraging Memory Mapping for Fast and Scalable Graph Computation on a PC
(Georgia Institute of Technology, 201308)Large graphs with billions of nodes and edges are increasingly common, calling for new kinds of scalable computation frameworks. Although popular, distributed approaches can be expensive to build, or require many resources ... 
LoadBalanced Bonded Force Calculations on Anton
(Georgia Institute of Technology, 20100315)Spiral (www.spiral.net) is a program and hardware design generation system for linear transforms such as the discrete Fourier transform, discrete cosine transforms, filters, and others. We are currently extending Spiral ... 
Mage: Expressive Pattern Matching in RichlyAttributed Graphs
(Georgia Institute of Technology, 2013)Given a large graph with millions of nodes and edges, say a social graph where both the nodes and edges can have multiple different kinds of attributes (e.g., job titles, tie strengths), how do we quickly find matches ... 
Magnetic Resonance Imaging of the Brain
(Georgia Institute of Technology, 20121012)Magnetic Resonance Imaging (MRI) has become a powerful, indispensable, and ubiquitously used methodology in neuroimaging. In particularly, functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI) ... 
Metanumerical computing for partial differential equations: the Sundance project
(Georgia Institute of Technology, 20101029)Metanumerical computing deals with computer programs that use abstract mathematical structure to manipulate, generate, and/or optimize computeintensive numerical codes. This idea has gained popularity over the last decade ...