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pads:a-pads [2013/01/03 18:04] gdangelopads:a-pads [2013/01/03 18:11] gdangelo
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-Designing, implementing and evaluating a Parallel And Distributed Simulation (PADS) middleware capable to work seamlessly and efficiently among multiple execution architectures (e.g. multi-core smartphones, multi-core desktop CPUs, LAN/WAN clusters, HPCs such as the IBM Blue Gene and public Cloud infrastructures such as Amazon EC2).+//Designing, implementing and evaluating a **Parallel And Distributed Simulation (PADS) middleware** capable to work **seamlessly** and **efficiently** among multiple execution architectures (e.g. multi-core smartphones, multi-core desktop CPUs, LAN/WAN clusters, HPCs such as the **IBM Blue Gene** and **public Cloud infrastructures** such as Amazon EC2).//
  
 ===== Description ===== ===== Description =====
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 ===== Past and ongoing activity ===== ===== Past and ongoing activity =====
  
-The A-PADS research project will further extend the work done on the ARTÌS/GAIA[1, 2] middleware. In the past years we have obtained very good performance results using multi-CPU multi-core CPUs and LAN/WAN based clusters. Now we are working on the porting and adaptation of ARTÌS/GAIA+ to the IBM Blue Gene/Q system and we plan to extend our work to support some public Cloud infrastructures (e.g. Amazon EC2). More in detail, the support of Cloud infrastructures will require the design, implementation and evaluation of a brand new set of features that are specific to the characteristics and idiosyncrasies of the Cloud (e.g. jitter, fault tolerance, security etc.).+The A-PADS research project will further extend the work done on the [[pads:artis|ARTÌS]]/[[pads:gaia|GAIA]] [1, 2] middleware. In the past years we have obtained very good performance results using multi-CPU multi-core CPUs and LAN/WAN based clusters. Now we are working on the porting and adaptation of ARTÌS/GAIA+ to the [[http://www.cineca.it/en/content/fermi-bgq|IBM Blue Gene/Q]] system and we plan to extend our work to support some public Cloud infrastructures (e.g. Amazon EC2). More in detail, the support of Cloud infrastructures will require the design, implementation and evaluation of a brand new set of features that are specific to the characteristics and idiosyncrasies of the Cloud (e.g. jitter, fault tolerance, security etc.).
 Related work Related work
  
-In the HPCS 2001 tutorial [3] we have described why a new approach is necessary for building simulators that are able to fulfill the requirements described above. In [4] the authors, have demonstrated that the Amazon EC2 infrastructure can be used for running distributed simulations with acceptable results in terms of performance and cost. In our vision, the approach introduced in [4] is a good starting point for the development of new specifically tailored mechanisms that will be able to speed up the execution of PADS on public Clouds.+In the [[http://www.cs.unibo.it/~gdangelo/tutorial-hpcs-2011.html|HPCS 2001 tutorial]] [3] we have described why a new approach is necessary for building simulators that are able to fulfill the requirements described above. In [4] the authors, have demonstrated that the Amazon EC2 infrastructure can be used for running distributed simulations with acceptable results in terms of performance and cost. In our vision, the approach introduced in [4] is a good starting point for the development of new specifically tailored mechanisms that will be able to speed up the execution of PADS on public Clouds.
  
 ===== References ===== ===== References =====
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 [3] Gabriele D'Angelo. [[http://arxiv.org/abs/1105.2301|Parallel and Distributed Simulation from Many Cores to the Public Cloud]]. Proceedings of the 2011 International Conference on High Performance Computing and Simulation (HPCS 2011).  [3] Gabriele D'Angelo. [[http://arxiv.org/abs/1105.2301|Parallel and Distributed Simulation from Many Cores to the Public Cloud]]. Proceedings of the 2011 International Conference on High Performance Computing and Simulation (HPCS 2011). 
  
-[4] Kurt Vanmechelen, Silas De Munck, Jan Broeckhove: Conservative Distributed Discrete Event Simulation on Amazon EC2. CCGRID 2012+[4] Kurt Vanmechelen, Silas De Munck, Jan Broeckhove: Conservative Distributed Discrete Event Simulation on Amazon EC2. CCGRID 2012.
pads/a-pads.txt · Last modified: 2013/01/03 18:13 by gdangelo

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