To efficiently perform collective communications in current high-performance computing systems is a time-consuming task. With future exascale systems, this communication time will be increased further. However, global...
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ISBN:
(纸本)9781728101767
To efficiently perform collective communications in current high-performance computing systems is a time-consuming task. With future exascale systems, this communication time will be increased further. However, global information is frequently required in various physical models. By exploiting domain knowledge of the model behaviors globally needed information can be distributed more efficiently, using only peer-to-peer communication which spread the information to all processes asynchronous during multiple communication steps. In this article, we introduce a multi-hop based Manhattan Street Network (MSN) for global information exchange and show the conditions under which a local neighbor exchange is sufficient for exchanging distributed information. Besides the MSN, in various models, global information is only needed in a spatially limited region inside the simulation domain. Therefore, a second network is introduced, the local exchange network, to exploit this spatial assumption. Both non-collective global exchange networks are implemented in the massively parallel NAStJA framework. Based on two models, a phase-field model for droplet simulations and the cellular Potts model for biological tissue simulations, we exemplary demonstrate the wide applicability of these networks. Scaling tests of the networks demonstrate a nearly ideal scaling behavior with an efficiency of over 90%. Theoretical prediction of the communication time on future exascale systems shows an enormous advantage of the presented exchange methods of O(1) by exploiting the domain knowledge.
The proceedings contain 48 papers. The topics discussed include: building distributed, wide-area applications with WheelFS;domino-effect free crash recovery for concurrent failures in cluster federation;optimizing com...
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ISBN:
(纸本)3540680810
The proceedings contain 48 papers. The topics discussed include: building distributed, wide-area applications with WheelFS;domino-effect free crash recovery for concurrent failures in cluster federation;optimizing communications of data parallel programs in scalable cluster systems;the development of a drug discovery virtual screening application on Taiwan unigrid;a probability-based framework for dynamic resource scheduling in grid environment;a mobile agent-based statistic execution model for grid computing;an optimization of resource replication access in grid cache;an incentive approach for computational resource sharing in the autonomous environment;using moldability to improve scheduling performance of parallel jobs on computational grid;and guarantee the victorious probability of grid resources in the competition for finite tasks.
The proceedings contain 50 papers. The topics discussed include: high performance computing, computational grid, and numerical libraries;performance, scalability, and robustness in the harness metacomputing framework;...
ISBN:
(纸本)3540442960
The proceedings contain 50 papers. The topics discussed include: high performance computing, computational grid, and numerical libraries;performance, scalability, and robustness in the harness metacomputing framework;surfing the grid - dynamic task migration in the polder metacomputer project;making grid computing mainstream;process management for scalable parallel programs;a security attack and defense in the grid environment;performance analysis: necessity or add-on in grid computing;MPI on the grid;CrossGrid and its relatives in Europe;towards the CrossGrid architecture;training of neural networks: interactive possibilities in a distributed framework;the CrossGrid performance analysis tool for interactive grid applications;and current trends in numerical simulation for parallel engineering environments.
作者：
Shook, EricWang, Shaowen
Department of Geography University of Illinois at Urbana-Champaign Urbana IL 61801 United States
University of Illinois at Urbana-Champaign Urbana IL 61801 United States
With recent advances in data collection technologies such as remote sensing and global positioning systems, the amount of spatial data being produced has been increasing at a staggering rate. Simultaneously, a shift i...
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The available rendering performance on current computers increases constantly, primarily by employing parallel algorithms using the newest many-core hardware, as for example multi-core CPUs or GPUs. This development e...
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ISBN:
(数字)9783642103315
ISBN:
(纸本)9783642103308
The available rendering performance on current computers increases constantly, primarily by employing parallel algorithms using the newest many-core hardware, as for example multi-core CPUs or GPUs. This development enables faster rasterization, as well as conspicuously faster software-based real-time ray tracing. Despite the tremendous progress in rendering power, there are and always will be applications in classical computer graphics and Virtual Reality, which require distributed configurations employing multiple machines for both rendering and display. In this paper we address this problem and use NMM, a distributed multimedia middleware, to build a powerful and flexible rendering framework. Our framework is highly modular, and can be easily reconfigured - even at runtime - to meet the changing demands of applications built on top of it. We show that the flexibility of our approach comes at a negligible cost in comparison to a specialized and highly-optimized implementation of distributed rendering.
Simulating systems with evolving relational structures on massively parallel computers require the computational work to be evenly distributed across the processing resources throughout the simulation. Adaptive, unstr...
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A high performance, freely accessible medical image processing environment based on a distributed architecture is presented: MedIGrid is the result of a joined interaction between scientists devoted to the design and ...
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ISBN:
(纸本)0780377893
A high performance, freely accessible medical image processing environment based on a distributed architecture is presented: MedIGrid is the result of a joined interaction between scientists devoted to the design and deployment of new and efficient tomographic reconstruction techniques, researchers in the field of distributed and parallel architectures, and physicians interested in experimenting with new advances in the field of image reconstruction and analysis. The main goal of the project was to design an easily accessible and usable environment with which the medical community can experiment on one side, and that research groups can use as a reference or as a basis for continuing research on the other side. The outcome of this work consists of a prototypal grid infrastructure along with an open and distributed software environment. The Grid computing architecture includes a storage server, a high performance parallelcomputing unit, and two PCs that act as clients to the system and that are located in geographically distant areas. The Globus Toolkit has been chosen to implement the middleware between hardware and software. The latter consists of a set of tools and strategies to reconstruct, display, analyze as well as store, share, distribute and organize medical images, addressing the major problems in the field of image reconstruction and processing. It is platform independent, remotely executable, freely downloadable and accessible, and based on open source code.
distributed Virtual Environments (DVEs) are distributed systems that allow multiple geographically distributed users to interact concurrently in a shared virtual world. With recent advances in computer graphics, netwo...
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distributed Virtual Environments (DVEs) are distributed systems that allow multiple geographically distributed users to interact concurrently in a shared virtual world. With recent advances in computer graphics, network technologies and CPU processing power, DVEs are very popular nowadays. These systems are currently used in many different types of application, such as collaborative design, military training, e-learning, multi-player games, etc. In general, the most important requirements for DVEs are scalability, consistency and responsiveness. The communication architecture of DVEs is one of the key factors that should be considered to address these requirements. In this paper, we describe a communication architecture for DVEs based on the High Level Architecture (HLA). A prototype implementation with this architecture, the prey-predator federation, is also presented together with some preliminary characterization experiments and results.
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