the talk will address some of the key algorithmic and computational challenges associated withthe modelling of certain classes of biological networks (e.g. biochemical, signalling). this will involve several research...
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In this paper we describe a technique for automatic construction of ontology, a semantic representation of a conceptualization, for any domain, organization or enterprise whose Web site is existent with quiet a big mi...
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there are two problems in the existing rendering platforms that support HLA-based simulation applications. One is the fact that the management of simulation entity objects and the management of rendering scene objects...
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ISBN:
(纸本)9781424415786
there are two problems in the existing rendering platforms that support HLA-based simulation applications. One is the fact that the management of simulation entity objects and the management of rendering scene objects are separate, which leads to inefficiency in simulation and rendering. Another one is absence of rendering interface, especially for parallel rendering for users. In order to solve the above problems, we present a Unified Object Model supporting HLA-based simulation and parallel rendering, which consists of Heterogenous Scene Graph tree, Action List and Universal Access Interface. the Unified Object Model establishes an efficient data exchange bridge between HLA simulation and parallel rendering. therefore massive complex scene and large quantity of simulation entities can be organized and managed in a unified form. An experimental demo is given at the end of this paper.
the Chip Multiprocessor (CMP) architecture offers parallel multi-thread execution and fast retrieval of shared data that is cached on-chip. In order to obtain the best possible performance withthe CMP architecture, t...
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As an innovative grid computing technique for sharing the distributed memory resources in a wide-area network, RAM Grid exploits the free nodes to provide remote memory for others. the data intensive applications with...
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ISBN:
(纸本)9780769528717
As an innovative grid computing technique for sharing the distributed memory resources in a wide-area network, RAM Grid exploits the free nodes to provide remote memory for others. the data intensive applications with massive random disk 10, such as the web server or database systems, have potential benefits from RAM Grid We analyzed the trace collected from real servers, and proposed the key issues and solution of the caching RAM Grid system for such applications, to reduce the 10 overhead Furthermore, we proposed an autonomic cooperation mechanism to improve the performance through time correlation and content redundancy detection and elimination. We have verified the effectiveness of the proposed method through comprehensive trace-driven simulations.
We present transparent Direct3D9 application-level parallel rendering system named D3DPR. It allows Direct3D9 application to run on graphics cluster with no modification. Graphics cluster can be classified as two type...
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ISBN:
(纸本)9781424415786
We present transparent Direct3D9 application-level parallel rendering system named D3DPR. It allows Direct3D9 application to run on graphics cluster with no modification. Graphics cluster can be classified as two types of logical node, i.e. resource distributing node (D-Node) and resource rendering node (R-Node) by D3DPR. Among them, D-Node is responsible for converting Direct3D9 application to four kinds of rendering resource including command stream, vertex stream, index stream and texture stream. R-Node is responsible for reconstructing Direct3D9 interface rendering command based on the description information and resource data of received rendering resource. Each R-Node reserves entire rendering resource and distributes rendering task by computingthe projective screen region of multi-stream based scene data bounding box. Experimental results have demonstrated that D3DPR parallel rendering system can not only achieve high-resolution tiled display but also promote rendering performance for Direct3D9 application running on graphics cluster.
Program similarity checking is an important application of programming education fields. Local alignment is one of the typical algorithms for comparing two strings. However local alignment based comparison does not re...
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Program similarity checking is an important application of programming education fields. Local alignment is one of the typical algorithms for comparing two strings. However local alignment based comparison does not reflect the weights of program keywords. this paper introduces an adaptive local alignment which reflects the frequencies of keywords to the similarity matrix. We experimented this method using a set of programs submitted to more than 10 real programming contests. the experimental result shows that the adaptive local alignment is more robust than greedy-string-tiling adopted in JPlag.
there have been many previous attempts to accelerate MT19937 using FPGAs but we believe that we can substantially improve the previous implementations to develop a higher throughput and more area time efficient design...
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there have been many previous attempts to accelerate MT19937 using FPGAs but we believe that we can substantially improve the previous implementations to develop a higher throughput and more area time efficient design. In this paper we first present a single port design and then present an enhanced 624 port hardware implementations of the MT19937 algorithm that has a throughput of 119.6 x 10 9 32 bit random numbers per second, which is more than 17 times that of the previously best published uniform random number generator. Furthermore it has the lowest area time metric of all the currently published FPGA based pseudo uniform random number generators.
Over last few years, interest on biotechnology has increased dramatically. Withthe completion of sequencing of the human genome, such interest is likely to expand even more rapidly. the size of genetic information da...
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ISBN:
(纸本)9783540713500
Over last few years, interest on biotechnology has increased dramatically. Withthe completion of sequencing of the human genome, such interest is likely to expand even more rapidly. the size of genetic information database doubles every 14 months, overwhelming explosion of information in related bioscience disciplines and consequently, overtaxing any existing computational tool for data analysis. there is a persistent and continuous search for new alternatives or new technologies, all withthe common goal of improving overall computational performance. Grid infrastructures are characterized by interconnecting a number of heterogeneous hosts through the internet, by enabling large-scale aggregation and sharing of computational, data and other resources across institutional boundaries. In this research paper, we present BioPortal, a user friendly and web-based GUI that eases the deployment of well-known bioinformatics applications on large-scale cluster and grid computing environments. the major motivation of this research is to enable biologists and geneticists, as also biology students and investigators, to access to high performance computing without specific technical knowledge of the means in which are handled by these computing environments and no less important, without introducing any additional drawback, in order to accelerate their experimental and sequence data analysis. As result, we could demonstrate the viability of such design and implementation, involving solely freely available softwares.
Increase in intensive applications with different computational requirements, coupled withthe unification of remote and diverse resources thanks to advances in the wide-area network technologies and the low cost of c...
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Increase in intensive applications with different computational requirements, coupled withthe unification of remote and diverse resources thanks to advances in the wide-area network technologies and the low cost of components, have encouraged the development of grid computing. To exploit the promising potentials of geographically distributed resources, effective and efficient mapping algorithms are fundamental. Since the problem of optimally mapping is NP-complete, the development of evolutionary techniques to find near-optimal solutions is welcome. In this paper a distributed system based on differential evolution is designed and implemented to face the mapping problem in a grid environment aiming at reducing the degree of use of the grid resources. this system is tested on some different resource allocation scenarios
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