Authors:
M. Ali Rostami
and
H. Martin Bücker
Affiliation:
Friedrich-Schiller-University Jena, Germany
Keyword(s):
Parallel Programming, Shared Memory, Distributed Memory, Hybrid Parallel Programming, SHEMAT-suite.
Related
Ontology
Subjects/Areas/Topics:
Application Domains
;
Chemical and Petroleum Engineering
;
Complex Systems Modeling and Simulation
;
Computer Simulation Techniques
;
Distributed Simulation
;
Formal Methods
;
Mathematical Simulation
;
Multiscale Simulation
;
Simulation and Modeling
;
Simulation Tools and Platforms
;
Stochastic Modeling and Simulation
Abstract:
While the noticeable shift from serial to parallel programming in simulation technologies progresses, it is increasingly important to better understand the interplay of different parallel programming paradigms. We discuss some corresponding issues in the context of transforming a shared-memory parallel program that involves two nested levels of parallelism into a hybrid parallel program. Here, hybrid programming refers to a combination of shared and distributed memory. In particular, we focus on performance aspects arising from shared-memory parallel programming where the time to access a memory location varies with the threads. Rather than analyzing these issues in general, the focus of this position paper is on a particular case study from geothermal reservoir engineering.