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--- start [2017/10/19 09:35] – [NEW PAPER: Parallel Sort-Based Matching for Data Distribution Management on Shared-Memory Multiprocessors] gdangelo
+++ start [2025/07/17 19:43] (current) – gda
@@ Line 13: / Line 13: @@
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-===== NEW PAPER: Parallel Sort-Based Matching for Data Distribution Management on Shared-Memory Multiprocessors =====
+===== NEW PAPER: Performance evaluation of a self-clustering heuristic for adaptive PADS =====
-In this paper, we propose a parallel version of the Sort-Based Matching algorithm for shared-memory multiprocessors.
+Parallel And Distributed Simulation (PADS) is a well known modeling paradigm that allows efficient implementation of large simulation models as a collection of interacting entities, called Simulated Entities (SEs). SEs can then be assigned to independent execution units for parallel execution, if possible. Allocating SEs to execution units is one of the most challenging problems in PADS: ideally, highly interacting SEs should be placed on the same execution unit so that all communications are local; however, placing too many SEs on the same processor might degrade performance. Furthermore, many simulation models exhibit non-uniform computation and communication patterns among components, that might change during execution at unpredictable times. In this paper we propose a clustering heuristic that exploits communication locality, with the aim to reduce the communication cost experienced by the PADS during the execution. The heuristic adapts automatically to changing interaction patterns by migrating SEs, and can do so without any user-visible modification of the simulation model; there are, however, some parameters that can be used to tune the heuristic. We perform a large set of computational experiments to assess the effectiveness of the heuristic on a real-world scenario, with the aim of guiding the users in selecting optimal values of the heuristic parameters.
-<fc Purple>**Best Paper Award: 21-th ACM/IEEE International Symposium on Distributed Simulation and Real Time Applications (DS-RT 2017).**</fc>
+For more information follow [[dsrt2025|this link]].
-For more information follow [[parallelSBM-paper|this link]].
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-===== HPCS 2016 Tutorial =====
+===== NEW PAPER: A Review of Multilevel Modeling and Simulation for Human Mobility and Behavior =====
-[[http://www.cs.unibo.it/~gdangelo/tutorial-hpcs-2016.html|{{ http://www.cs.unibo.it/~gdangelo/img/hpcs2016-tutorial-small.png}}]]
-In the tutorial "**Simulation of the Internet of Things**", we aim to introduce all the basic aspects of the efficient simulation of the Internet of Things (IoT).
-We discuss the main limitations of the current approaches with the goal to foster discussion and to increase the knowledge on both simulation and IoT. The last part of the tutorial will be about our practical experience in the simulation of IoT using a multi-level modelling approach.
-For more information follow [[http://www.cs.unibo.it/~gdangelo/tutorial-hpcs-2016.html|this link]] and see our tutorial paper: [[https://arxiv.org/abs/1605.04876|Simulation of the Internet of Things]].
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-===== NEW PAPER: Highly intensive data dissemination in complex networks =====
-A study on data dissemination in unstructured Peer-to-Peer (P2P) network overlays.
-For more information follow [[gossip-paper|this link]].
-----
-===== HPCS 2011 Tutorial =====
-[[http://www.cs.unibo.it/~gdangelo/tutorial-hpcs-2011.html|{{ http://www.cs.unibo.it/~gdangelo/img/hpcs-tutorial-small.gif}}]]
-In the tutorial "**Parallel and Distributed Simulation from Many Cores to the Public Cloud**" the main concepts behind the current research effort are introduced.
-Starting from the simulation basics some the new challenges for parallel and distributed simulation are discussed. Are current simulation technologies ready to support cloud computing? What about the usability of the available simulation tools?
-For more information follow [[http://www.cs.unibo.it/~gdangelo/tutorial-hpcs-2011.html|this link]].
+In this paper we perform a systematic literature review of multilevel simulation applied to human mobility and behavior, to identify research trends and contribute towards a better understanding of techniques, methodologies and terminology used within this research area. At the end of our analysis we uncover some recurrent modeling and simulation patterns that appear frequently within specific research areas, and we classify these methodological patterns along several dimensions such as modeling type and level of detail.
+For more information follow [[multiscale|this link]].
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-===== Additional resources =====
-<fc Purple>**Some additional resouces (in italian) are available for students and local users**:</fc>
-   * [[pads:cluster|Il cluster di simulazione PADS]]
-   * [[pads:artis-doc|La documentazione online di ARTÌS]]