Ethem Arkin

• Hacettepe University

Information superiority is one of the primary enablers for military dominance; the exploitation of all relevant information from multiple sources is a key factor for NATO’s information superiority. Visualization and visual analytics research are essential to address the needs of the 2015 NATO targets of emphasis in Information Analysis (IA) & Decis...

An important challenge in parallel computing is the mapping of parallel algorithms to parallel computing platforms. This requires several activities such as the analysis of the parallel algorithm, the definition of the logical configuration of the platform and the implementation and deployment of the algorithm to the computing platform. However, in...

Command and control (C2) systems direct operators to make accurate decisions in the stressful atmosphere of the battlefield at the earliest. There are powerful tools that fuse various instant piece of information and brings summary of those in front of operators. Threat evaluation is one of the important fusion method that provides these assistance...

The need for high-performance computing together with the increasing trend from single processor to parallel computer architectures has leveraged the adoption of parallel computing. To benefit from parallel computing power, usually parallel algorithms are defined that can be mapped and executed on parallel computing platforms. In general, different...

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 parallel computing tend to focus on mapping parallel algorithms to parallel computing platforms. However, the complexity and variety of current software systems goes beyond th...

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 software systems requires to consider the parallelization of application modules beyond algorithms. These two trends have led to a complexity that is not scalabl...

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 turn we can observe the rapid increase of the scale of parallel computing platforms. This situation has led to a complexity of parallel application development that is not...

To increase the computing performance the current trend is towards applying parallel computing in which parallel tasks are executed on multiple nodes. The deployment of tasks on the computing platform usually impacts the overall performance and as such needs to be modelled carefully. In the architecture design community the deployment viewpoint is...

The trend from single processor to parallel computer architectures has increased the importance of parallel computing. To support parallel computing it is important to map parallel algorithms to a computing platform that consists of multiple parallel processing nodes. In general different alternative mappings can be defined that perform differently...

One of the important problems in parallel computing is the mapping of the parallel algorithm to the parallel computing platform. Hereby, for each parallel node the corresponding code for the parallel nodes must be implemented. For platforms with a limited number of processing nodes this can be done manually. However, in case the parallel computing...

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 platform, and the mapping of the algorithm to the logical configuration platform. Unfortunately, in current parallel computing approaches there does not seem to be...