TY - GEN
T1 - On analyzing quality of data influences on performance of finite elements driven computational simulations
AU - Reiter, Michael
AU - Truong, Hong Linh
AU - Dustdar, Schahram
AU - Karastoyanova, Dimka
AU - Krause, Robert
AU - Leymann, Frank
AU - Pahr, Dieter
PY - 2012
Y1 - 2012
N2 - For multi-scale simulations, the quality of the input data as well as the quality of algorithms and computing environments will strongly impact the intermediate results, the final outcome, and the performance of the simulation. To date, little attention has been paid on understanding the impact of quality of data (QoD) on such multi-scale simulations. In this paper, we present a critical analysis of how QoD influences the results and performance of basic simulation building blocks for multi-scale simulations. We analyze the impact of QoD for Finite Element Method (FEM) based simulation building blocks, and study the dependencies between the QoD of input data and results as well as the performance of the simulation. We devise and implement novel QoD metrics for data intensive, FEM-based simulations and show experiments with real-world applications by demonstrating how QoD metrics can be efficiently used to control and tune the execution of FEM-based simulation at runtime.
AB - For multi-scale simulations, the quality of the input data as well as the quality of algorithms and computing environments will strongly impact the intermediate results, the final outcome, and the performance of the simulation. To date, little attention has been paid on understanding the impact of quality of data (QoD) on such multi-scale simulations. In this paper, we present a critical analysis of how QoD influences the results and performance of basic simulation building blocks for multi-scale simulations. We analyze the impact of QoD for Finite Element Method (FEM) based simulation building blocks, and study the dependencies between the QoD of input data and results as well as the performance of the simulation. We devise and implement novel QoD metrics for data intensive, FEM-based simulations and show experiments with real-world applications by demonstrating how QoD metrics can be efficiently used to control and tune the execution of FEM-based simulation at runtime.
UR - http://www.scopus.com/inward/record.url?scp=84867650074&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-32820-6_79
DO - 10.1007/978-3-642-32820-6_79
M3 - Contribution to conference proceeding
AN - SCOPUS:84867650074
SN - 9783642328190
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 793
EP - 804
BT - Parallel Processing - 18th International Conference, Euro-Par 2012, Proceedings
T2 - 18th International Conference on Parallel Processing, Euro-Par 2012
Y2 - 27 August 2012 through 31 August 2012
ER -