Architecture Framework for Modeling the Deployment of Parallel Applications on Parallel Computing Platforms

Abstract

Abstract. 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 precise modeling approaches for supporting the mapping process. The lack of a clear and precise modeling approach for parallel computing impedes the communication and analysis of the decisions for supporting the mapping of parallel algorithms to parallel computing platforms. In this paper we present an architecture framework for modeling the various views that are related to the mapping process. An architectural framework organizes and structures the proposed architectural viewpoints. We propose five coherent set of viewpoints for supporting the mapping of parallel algorithms to parallel computing platforms. We illustrate the architecture framework for the mapping of array increment algorithm to the parallel computing platform. IntroductionIt is now increasingly acknowledged that the processing power of a single processor has reached the physical limitations and likewise serial computing has reached its limits. To increase the performance of computing approaches the current trend is towards applying parallel computing on multiple nodes typically including many CPUs. In contrast to serial computing in which instructions are executed serially, in parallel computing multiple processing elements are used to execute the program instructions simultaneously.One of the important challenges in parallel computing is the mapping of the parallel algorithm to the parallel computing platform. The mapping process 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. Based on the analysis of the algorithm several design decisions for allocating the algorithm sections to the logical configurations must be made. To support the communication among the stakeholders, to reason about the design decisions during the mapping process and to analyze the eventual design it is important to adopt the appropriate modeling approaches. In current parallel computing approaches there does not seem to be standard modeling approaches for supporting the mapping process. Most approaches seem to adopt conceptu2nd International Workshop on Model-Driven Engineering for High Performance and Cloud computing (MDHPCL 2013) -53 -