An Integrated Simulation Environment for Parallel and Distributed System Prototying

George, Alan; Fogarty, Ryan; Markwell, Jeff; Miars, Michael D.

doi:10.1177/003754979907200502

Cited by 11 publications

(7 citation statements)

References 25 publications

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“…As a result, the models constructed to evaluate the three real-time protocols and base SCI are of a high fidelity, with accuracy down to the clock cycle. An overview of BONeS can be found in [13] while the validation of our base SCI models against testbed hardware can be found in [6].…”

Section: Simulation Experiments and Resultsmentioning

confidence: 99%

Comparative performance analysis of directed flow control for real-time SCI

2001

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Section: Simulation Experiments and Resultsmentioning

confidence: 99%

Comparative performance analysis of directed flow control for real-time SCI

2001

Self Cite

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“…1 shows the whole structure of our system. We can see that it is a distributed system and has its own advantages [12], [13].…”

Section: System Structure and Software Architecturementioning

confidence: 99%

A Data-Collection and Fault Diagnosis System of Train Bearing Based on the C# and Multi-Wireless-Terminal

Zhang¹,

Lu²,

Zhang³

et al. 2015

JSW

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With the development of modern railway transportation, the diagnosis of train bearing defects plays a significant role to maintain the safety of it and the higher speed, the more reliable detection we need. Among various defect detection techniques, acoustic diagnosis is widely used for detecting incipient defects of a train bearing as well as being suitable for wayside monitoring. But as we know, the acoustic signal we acquire from wayside is corrupted by the Doppler Effect and surrounding heavy noise including the noise of train body vibration, the noise of wheels, aerodynamic noise, etc. Besides, as the signal acts as a mixture of many bearings of the train, if we want to get the feature of one of them, we also need to have method to separate the signal. These are all quite difficult works. This paper will show us a new way to identify the conditions of bearings from a running machine. In this paper, we mainly describe the design of a software framework based on C# and the whole data transportation system. Ubiquitous computing technologies offer excitingly new possibilities for monitoring and analyzing of the train bearing conditions in real time. In our system, we put forward a whole serial port communication protocol which insures the data's accuracy during the wireless transmission process. We also get a thorough logic between the PC and wireless-terminals. In the software, we make it possible for engineers to monitor the bearings' condition in real time, check the parameters calculated from original data to identify the fault and set the communication parameters. Above all, the signals we acquire here are the vibration signal collected from the train bearings directly. It will make up most of the shortcomings compared to the acoustic diagnosis.

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“…The Integrated Simulation Environment (ISE) takes a similar approach for simulation of MPI-based parallel programs [16]. In ISE, MPI code executes natively on distributed nodes in a cluster with the MPI function calls being intercepted and sent to a centralized, sequential simulation of the interconnect.…”

Section: Related Researchmentioning

confidence: 99%

Parallel simulation of chip-multiprocessor architectures

Chidester

George

2002

ACM Trans. Model. Comput. Simul.

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Public reporting burden for the collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. 1 Parallel Simulation of Chip-Multiprocessor ArchitecturesMatthew C. Chidester and Alan D. GeorgeAbstract-Chip-multiprocessor (CMP) architectures present a challenge for efficient simulation, combining the requirements of a detailed microprocessor simulator with that of a tightly-coupled parallel system. In this paper, a distributed simulator for target CMPs is presented based on the Message Passing Interface (MPI) designed to run on a host cluster of workstations. Microbenchmark-based evaluation is used to narrow the parallelization design space concerning the performance impact of distributed vs. centralized target L2 simulation, blocking vs. nonblocking remote cache accesses, null-message vs. barrier techniques for clock synchronization, and network interconnect selection. The best combination is shown to yield speedups of up to 16 on a 9-node cluster of dual-CPU workstations, partially due to cache effects.

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An Integrated Simulation Environment for Parallel and Distributed System Prototying

Cited by 11 publications

References 25 publications

Comparative performance analysis of directed flow control for real-time SCI

Comparative performance analysis of directed flow control for real-time SCI

A Data-Collection and Fault Diagnosis System of Train Bearing Based on the C# and Multi-Wireless-Terminal

Parallel simulation of chip-multiprocessor architectures

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