Item Details

abstract

Since the beginning of the modern computing era, high performance computing has been pushing the boundaries of the types of problems that can be solved in many different disciplines. One of the leading fields is computational biophysics where molecular dynamics (MD) simulations provide microscopic resolution details of how biomolecules move, fold, and assemble into intricate complexes that perform biological functions. However, it still remains a challenge to accurately perform MD simulations of biologically relevant complexes at timescales that can be directly compared with experiments. While the fundamental features of biomolecular dynamics, folding, and assembly are very interesting, their misfolding or misassembly can lead to deleterious repercussions that lead to diseases such as Parkinson's and Alzheimer's. MD simulations have played key roles in successes so far in directing experiments that lead to therapies, but advances in high performance computing hardware and algorithms will expand the scope of the problems that can be solved.

subject

barnes hut trees

coarse grained simulations

cuda

dynamic parallelism

high performance computing

molecular dynamics

contributor

Carranza, Melisa (author)

Cho, Samuel S (committee chair)

John, David J (committee member)

Turkett, William H (committee member)

date

2017-06-15T08:36:11Z (accessioned)

2017-06-15T08:36:11Z (available)

2017 (issued)

degree

Computer Science (discipline)

identifier

http://hdl.handle.net/10339/82238 (uri)

language

en (iso)

publisher

Wake Forest University

title

Dynamic Parallelism in GPU Optimized Barnes Hut Trees for Molecular Dynamics Simulations

type

Thesis