Modeling communication delays for network coding and routing for error-prone transmission

Pfennig, Stefan; Franz, Elke; Ciorba, Florina M.; Ilsche, Thomas; Nagel, Wolfgang E.

doi:10.1109/fgct.2014.6933231

Cited by 4 publications

(6 citation statements)

References 8 publications

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“…The goal of this work is the practical verification of the code implementation of three resilient communication models [16] within HAEC-SIM.…”

Section: Goalmentioning

confidence: 99%

“…The resilient communication models were implemented using Sage [17] according to the models introduced in [16]. These models also comprise delays for sending a packet ( Table 2] to achieve a certain targeted latency.…”

Section: Model Parameters and Valuesmentioning

confidence: 99%

“…The first step was the implementation of the DOR r , PNC r , and NCD r communication models using Sage [16]. Polynomial approximations, described in Section 5.2, have been used to enable the use of the transfer times provided by these models in HAEC-SIM [4].…”

Section: Verification Workflowmentioning

confidence: 99%

“…This data is extracted with the help of a parallel parsing tool and used by another tool to verify in parallel each simulated message data against an independent implementation (last step of the illustrated workflow). Both HAEC-SIM and the independent implementation use polynomial approximation for approximating the message transfer times obtained from Sage-based simulations [16], as shown in Figure 1. The acceptability of the verification results is assessed in Section 5.5.…”

Section: Verification Workflowmentioning

confidence: 99%

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Simulation Models Verification for Resilient Communication on a Highly Adaptive Energy-Efficient Computer

Pfennig

Feldhoff

Ciorba

et al. 2016

24th High Performance Computing Symposium

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The utility of simulations depends on the confidence in the simulation implementation and its results. This study discusses the verification of the communication models in the parallel trace-driven simulation framework HAEC-SIM. As simulation input, a parallel application is executed and recorded on an existing HPC system. The simulation focuses on modeling the transfer times of point-to-point messages within the application and the indirect effects resulting in an output trace of application events of the simulated execution on a target platform. Consequently, via verification the message transfer times obtained with HAEC-SIM are compared with those of an independent implementation of the communication models. Both implementations consider the number of hops, the size and the target system parameters for each message. During verification the following factors are varied: application benchmarks, network topologies, mapping strategies, and resilient communication models.Verification yields an almost perfect agreement: the transfer times differ for a tiny percentage (0.00019 %) of messages by a negligible deviation of one picosecond, which is the finest granularity of the time data type. This result strengthens the confidence in a correct implementation of the communication models in simulation.

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“…The goal of this work is the practical verification of the code implementation of three resilient communication models [16] within HAEC-SIM.…”

Section: Goalmentioning

confidence: 99%

Section: Model Parameters and Valuesmentioning

confidence: 99%

Section: Verification Workflowmentioning

confidence: 99%

Section: Verification Workflowmentioning

confidence: 99%

See 2 more Smart Citations

Simulation Models Verification for Resilient Communication on a Highly Adaptive Energy-Efficient Computer

Pfennig

Feldhoff

Ciorba

et al. 2016

24th High Performance Computing Symposium

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“…As mentioned in Section 3.3.2 modeling the system state is ongoing. We use practical network coding (PNC) [20] [7] as communication model. The PNC model is implemented into HAEC-SIM as the static network model simulation module; the implementation has been successfully verified via the usage of different test cases for which the exact solution is known.…”

Section: Modeling Communication Performancementioning

confidence: 99%

HAEC-SIM: A Simulation Framework for Highly Adaptive Energy-Efficient Computing Platforms

Bielert¹,

Ciorba²,

Feldhoff³

et al. 2015

Proceedings of the Eighth EAI International Conference on Simulation Tools and Techniques

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This work presents a new trace-based parallel discrete event simulation framework designed for predicting the behavior of a novel computing platform running energy-aware parallel applications. Discrete event traces capture the runtime behavior of parallel applications on existing systems and form the basis for the simulation. The simulation framework processes the events of the input trace by applying simulation models that modify event properties. Thus, the output are again event traces that describe the predicted application behavior on the simulated target platform. Both input and simulated traces can be visualized and analyzed with established tools. The modular design of the framework enables the simulation of different aspects such as temporal performance and energy efficiency by applying distinct simulation models e.g.: (i) A performance model for communication that allows to evaluate the target communication topology and link properties. (ii) An energy model for computations that is based on measurements of current hardware. We showcase the potential of this simulation by simulating the execution of benchmark applications to explore design alternatives of highly adaptive and energy-efficient computing applications and platforms.

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Energy Models for Communication of Future Computing Platforms

Franz

Pfennig

Matthiesen

et al. 2015

2015 IEEE International Conference on Ubiquitous Wireless Broadband (ICUWB)

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Modeling communication delays for network coding and routing for error-prone transmission

Cited by 4 publications

References 8 publications

Simulation Models Verification for Resilient Communication on a Highly Adaptive Energy-Efficient Computer

Simulation Models Verification for Resilient Communication on a Highly Adaptive Energy-Efficient Computer

HAEC-SIM: A Simulation Framework for Highly Adaptive Energy-Efficient Computing Platforms

Energy Models for Communication of Future Computing Platforms

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