User: Guest  Login
More Searchfields
Simple search
Document type:
Bachelorarbeit
Author(s):
Candas, Deniz
Title:
Auto-Tuning via Machine Learning in AutoPas
Translated title:
Auto-Tuning via Maschinellem Lernen in AutoPas
Abstract:
AutoPas is a C++ library capable of running molecular dynamics simulations with different optimization schemes, which are configurations with differing data structures (i.e. array of structures or structure of arrays), traversal strategies, container types (e.g. linked cells, verlet lists) and optimization techniques (enabling Newton 3 optimization). The current methodology uses an algorithm that tests out the whole search space, which increases day by day. In this thesis, the process of trainin...     »
Keywords:
AutoPas; OpenMP; Molecular Dynamics; N-Body Simulations; Machine Learning; Neural Networks
Supervisor:
Bungartz, Hans-Joachim
Advisor:
Seckler, Steffen; Gratl, Fabio Alexander
Year:
2019
Quarter:
3. Quartal
Year / month:
2019-09
Month:
Sep
Language:
en
University:
Technical University of Munich
Faculty:
Fakultät für Informatik
 BibTeX