Software metrics for green parallel computing of big data systems
HG Gürbüz, B Tekinerdogan - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
Big Data is typically organized around a distributed file system on top of which the parallel
algorithms can be executed for realizing the Big Data analytics. In general, the parallel …
algorithms can be executed for realizing the Big Data analytics. In general, the parallel …
Multilevel algebraic approach for performance analysis of parallel algorithms
In order to solve a problem in parallel we need to undertake the fundamental step of splitting
the computational tasks into parts, ie decomposing the problem solving. A whatever …
the computational tasks into parts, ie decomposing the problem solving. A whatever …
Systematic approach for deriving feasible mappings of parallel algorithms to parallel computing platforms
E Arkin, B Tekinerdogan… - … and Computation: Practice …, 2017 - Wiley Online Library
The need for high‐performance computing together with the increasing trend from single
processor to parallel computer architectures has leveraged the adoption of parallel …
processor to parallel computer architectures has leveraged the adoption of parallel …
Architecture framework for modeling the deployment of parallel applications on parallel computing platforms
B Tekinerdogan, E Arkin - 2015 3rd International Conference …, 2015 - ieeexplore.ieee.org
To increase the computing performance the current trend is towards applying parallel
computing in which the tasks are run in parallel on multiple nodes. Current approaches in …
computing in which the tasks are run in parallel on multiple nodes. Current approaches in …
Architectural view driven model transformations for supporting the lifecycle of parallel applications
E Arkin, B Tekinerdogan - 2015 3rd International Conference …, 2015 - ieeexplore.ieee.org
Two important trends can be identified in parallel computing. First of all, the scale of parallel
computing platforms is rapidly increasing. Secondly, the complexity and variety of current …
computing platforms is rapidly increasing. Secondly, the complexity and variety of current …
Parallel application development using architecture view driven model transformations
E Arkın, B Tekinerdogan - … 2015, Angers, France, February 9-11, 2015 …, 2015 - Springer
To realize the increased need for computing performance the current trend is towards
applying parallel computing in which the tasks are run in parallel on multiple nodes. On its …
applying parallel computing in which the tasks are run in parallel on multiple nodes. On its …
Meta-model evolution with self-adaptation: An empirical development approach for distributed parallel computing framework
R Wu, L Huang, P Yu, K Shen, Q Shi… - 2016 IEEE Trustcom …, 2016 - ieeexplore.ieee.org
Distributed parallel computing platform performs well in processing big data. However, due
to the platform's complexity and distributed characteristics, it is hard to design and achieve …
to the platform's complexity and distributed characteristics, it is hard to design and achieve …
Applying MDA to generate Hadoop based scientific computing applications
D Akhmed-Zaki, M Mansurova, B Matkerim… - Perspectives of System …, 2016 - Springer
The paper presents an attempt to develop and deploy a functioning MDA (Model-Driven
Architecture) model of a distributed scientific application. The main focus is a problem of …
Architecture) model of a distributed scientific application. The main focus is a problem of …
Model-driven product line engineering for mapping parallel algorithms to parallel computing platforms
E Arkin, B Tekinerdogan - 2016 4th International Conference …, 2016 - ieeexplore.ieee.org
Mapping parallel algorithms to parallel computing platforms requires several activities such
as the analysis of the parallel algorithm, the definition of the logical configuration of the …
as the analysis of the parallel algorithm, the definition of the logical configuration of the …