SimK: A Large-Scale Parallel Simulation Engine

Xu, Jianwei; Chen, Mingyu; Gong, Zhongcheng; Cao, Zheng; Lv, Huiwei; Sun, Ninghui

doi:10.1007/s11390-009-9294-4

Cited by 5 publications

References 28 publications

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HiNetSim: A Parallel Simulator for Large-Scale Hierarchical Direct Networks

Fan

Cao

et al. 2014

Advanced Information Systems Engineering

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As the scale of high performance computer keeps increasing, the hierarchical high dimension direct network, such as Cray Dragonfly and K computer 6D mesh, becomes commonly used. In such architecture, the variety of topologies in each hierarchy leads to the complexity of topology and routing algorithm. Facing to the high complexity and scalability, parallel network simulator is the suitable platform to design network architecture efficiently and study its performance. We design and implement a packet-level parallel network simulator HiNetSim which can achieve both high accuracy and efficiency. In addition, the simulator provides flexible interfaces and configuration files for establishing hierarchical topologies and implementing routing algorithms. As a demonstration of HiNetSim, studies on flattened butterfly, 4D Torus and a proposed hierarchical network are given. Evaluation shows that HiNetSim achieves linear parallel speedup and is capable of simulating the network with tens of thousands nodes.

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HiNetSim: A Parallel Simulator for Large-Scale Hierarchical Direct Networks

Fan

Cao

et al. 2014

Advanced Information Systems Engineering

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Manycore simulation for peta-scale system design: Motivation, tools, challenges and prospects

Zarrin

Aguiar

Barraca

2017

Simulation Modelling Practice and Theory

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This is the accepted version of the paper.This version of the publication may differ from the final published version. Permanent repository link AbstractThe architecture design of peta-scale computing systems is complex and presents lots of difficulties to designs, as current tools lack support for relevant features of future scenarios. Novel systems must be designed with great care and tools, such as manycore architecture simulators, must be adapted accordingly. However, current simulation tools are very slow, often specific-purposeoriented, suffer from various issues and are rarely able to simulate thousands of cores. The emergence of peta-scale systems and the upcoming manycore era brings nevertheless new challenges to computing systems and architectures, adding further difficulties and requirements on the development of the corresponding simulators. Furthermore, the design of architecture simulators for manycore systems involve methods and techniques from various interdisciplinary research areas, which in turn brings more challenges in different aspects. As system complexity grows, the growth of the simulation capacity is being outpaced (reaching the so called simulation wall). In this paper, we present the challenges for simulating future large scale manycore environments, and we investigate the adequacy of current modeling and simulation tools, methodologies and techniques. The aim of this work is to highlight how current approaches can best deal with the identified problems, smoothing the challenges of research in future peta-scale systems.

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Wall-clock based synchronization: A parallel simulation technology for cluster systems

Zhu

Chen

et al. 2013

2013 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)

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SimK: A Large-Scale Parallel Simulation Engine

Cited by 5 publications

References 28 publications

HiNetSim: A Parallel Simulator for Large-Scale Hierarchical Direct Networks

HiNetSim: A Parallel Simulator for Large-Scale Hierarchical Direct Networks

Manycore simulation for peta-scale system design: Motivation, tools, challenges and prospects

Wall-clock based synchronization: A parallel simulation technology for cluster systems

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