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SUMMARY Performance engineering of parallel and distributed applications is a complex task that iterates through various phases, ranging from modeling and prediction, to performance measurement, experiment management, data collection, and bottleneck analysis. There is no evidence so far that all of these phases should/can be integrated in a single(More)
Grid workflow applications are emerging as one of the most interesting application classes for the Grid. In this paper 3 we present AGWL, a novel Grid workflow language to describe the workflow of Grid applications at a high level of abstraction. AGWL has been designed to allow the user to concentrate on describing scientific Grid applications. The user is(More)
Performance is one of the key features of parallel and distributed computing systems. Therefore, in the past a significant research effort was invested in the development of approaches for performance modeling and prediction of parallel and distributed computing systems. In this paper we identify the trends, contributions, and drawbacks of the state of the(More)
In this paper we introduce a novel approach for modeling performance oriented distributed and parallel applications based on the Unified Modeling Language (UML). We utilize the UML extension mechanisms to customize UML for the domain of performance oriented distributed and parallel computing. A set of UML building blocks is described that model some of the(More)
Heterogeneous many-core systems constitute a viable approach for coping with power constraints in modern computer architectures and can now be found across the whole computing landscape ranging from mobile devices, to desktop systems and servers, all the way to high-end supercomputers and large-scale data centers. While these systems promise to offer(More)
In this position paper we argue that an intelligent program development environment that proactively supports the user helps a mainstream programmer to overcome the difficulties of programming multi-core computing systems. We propose a programming environment based on intelligent software agents that enables users to work at a high level of abstraction(More)
The 3-year European FP7 project PEPPHER addresses efficient utilization and usage of hybrid (heterogeneous) computer systems consisting of multi-core CPUs with GPU-type accelerators. PEPPHER is concerned with two major aspects: programmability and efficiency on given heterogeneous systems, and code and performance portability between different heterogeneous(More)
We discuss three complementary approaches that can provide both portability and an increased level of abstraction for the programming of heterogeneous multicore systems. Together, these approaches also support performance portability, as currently investigated in the EU FP7 project PEPPHER. In particular, we consider (1) a library-based approach, here(More)