scholarly journals Easing parallel programming on heterogeneous systems

2018 ◽  
Author(s):  
Ana Moretón Fernández
Keyword(s):  
Parallel Programming ◽  
Heterogeneous Systems

scholarly journals A Skeleton Based Programming Paradigm for Mobile Multi-Agents on Distributed Systems and Its Realization within the MAGDA Mobile Agents Platform

2008 ◽  
Vol 4 (2) ◽  
pp. 131-146 ◽  
Author(s):  
R. Aversa ◽  
B. Di Martino ◽  
N. Mazzocca ◽  
S. Venticinque
Keyword(s):  
Parallel Programming ◽  
Mobile Agent ◽  
Heterogeneous Systems ◽  
Distributed Applications ◽  
Programming Environment ◽  
Agent Based ◽  
Workload Balancing ◽  
Programming Effort ◽  
High Level ◽  
Multi Agents

Parallel programming effort can be reduced by using high level constructs such as algorithmic skeletons. Within the MAGDA toolset, supporting programming and execution of mobile agent based distributed applications, we provide a skeleton-based parallel programming environment, based on specialization of Algorithmic Skeleton Java interfaces and classes. Their implementation include mobile agent features for execution on heterogeneous systems, such as clusters of WSs and PCs, and support reliability and dynamic workload balancing. The user can thus develop a parallel, mobile agent based application by simply specialising a given set of classes and methods and using a set of added functionalities.

Mixed Parallel Programming Models Using Parallel Tasks

2010 ◽  
pp. 246-275 ◽  
Author(s):  
Joerg Duemmler ◽  
Thomas Rauber ◽  
Gudula Ruenger
Keyword(s):  
Parallel Programming ◽  
Heterogeneous Systems ◽  
Parallel Systems ◽  
Programming Models ◽  
Medium Size ◽  
Data Parallelism ◽  
Communication Structure ◽  
Parallel Tasks ◽  
Parallel Programming Models ◽  
The Future

Parallel programming models using parallel tasks have shown to be successful for increasing scalability on medium-size homogeneous parallel systems. Several investigations have shown that these programming models can be extended to hierarchical and heterogeneous systems which will dominate in the future. In this chapter, the authors discuss parallel programming models with parallel tasks and describe these programming models in the context of other approaches for mixed task and data parallelism. They discuss compiler-based as well as library-based approaches for task programming and present extensions to the model which allow a flexible combination of parallel tasks and an optimization of the resulting communication structure.

NoT: a high-level no-threading parallel programming method for heterogeneous systems

2019 ◽  
Vol 75 (7) ◽  
pp. 3810-3841 ◽  
Author(s):  
Shusen Wu ◽  
Xiaoshe Dong ◽  
Xingjun Zhang ◽  
Zhengdong Zhu
Keyword(s):  
Parallel Programming ◽  
Heterogeneous Systems ◽  
Programming Method ◽  
High Level
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