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 co...
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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 into a single monolithic tool. Moreover, the emergence of computational Grids as a common single wide-area platform for high-performance computing raises the idea to provide tools as interacting Grid services that share resources, support interoperability among different users and tools, and, most importantly, provide omnipresent services over the Grid. We have developed the ASKALON tool set to support performance-oriented development of parallel and distributed (Grid) applications. ASKALON comprises four tools, coherently integrated into a service-oriented architecture. SCALEA is a performance instrumentation, measurement, and analysis tool of parallel and distributed applications. ZENTURIO is a general purpose experiment management tool with advanced support for multi-experiment performance analysis and parameter studies. AKSUM provides semi-automatic highlevel performance bottleneck detection through a special-purpose performance property specification language. The PerformanceProphet enables the user to model and predict the performance of parallelapplications at the early stages of development. In this paper we describe the overall architecture of the ASKALON tool set and outline the basic functionality of the four constituent tools. The structure of each tool is based on the composition and sharing of remote Grid services, thus enabling tool interoperability. In addition, a data repository allows the tools to share the common application performance and output data that have been derived by the individual tools. A service repository is used to store common portable Grid service implementations. A general-purpose Factory service is empl
The molecular docking is the focus of practical applications such as protein engineering and drug design. A docking algorithm is a procedure that predicts the assembly of two molecules like a key and a lock. To screen...
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ISBN:
(纸本)9781467316583
The molecular docking is the focus of practical applications such as protein engineering and drug design. A docking algorithm is a procedure that predicts the assembly of two molecules like a key and a lock. To screen a large library of molecules, a docking algorithm requires high performance computing. parallel and distributed applications have long been recognized as powerful computational tools and effective in the field of bioinformatics. Jini technology is one of the powerful infrastructures network for building and deploying distributed systems that are organized as a federation of services. JavaSpaces is one of the services that come bundled with Jini, it is a shared associative memory accessible by the network and allows an easily developing of a massively parallel and distributed applications. This paper discusses the use of the JavaSpaces service to build a distributed application in order to minimize the running time of a molecular docking algorithm.
Several programming languages and frameworks offer actor-based concurrency inspired by Erlang. Among them, Akka has been adopted in numerous applications and frameworks running on the Java Virtual Machine. Unfortunate...
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