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Large Scale Deterministic Networking: A Simulation Evaluation
[article]
2019
arXiv
pre-print
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This paper investigates the Cyclic Queueing and Forwarding (CQF) and Paternoster scheduling protocols in a typical industrial control loop with varying propagation delays emulating large scale networks ...
A recent effort by the IEEE 802.1/3 TSN group has sought to standardize the Ethernet data-link protocol such that it operates on a deterministic service in addition to the best effort service targeting ...
Furthermore, we study and analyze the scheduling mechanism's efficacy for different propagation delays and traffic intensity emulating large-scale networks with both sporadic and periodic traffic. ...
arXiv:1910.00162v2
fatcat:zcceen7s6vaeln62vepganwocy
Using Ray-based Deterministic Simulations for Large-scale System Level Evaluation of a Massive MIMO Network
2019
Zenodo
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In this work, linear, planar, circular and cylindrical arrays are used in the evaluation of a large-scale multi-cell massive MIMO network. ...
Large-scale massive MIMO network deployments can provide higher spectral efficiency and better coverage for future communication systems like 5G. ...
In this work, a large-scale macro maMIMO network is analyzed in a real and complex environment, using physical channel realizations and precise system simulations. ...
doi:10.5281/zenodo.2613577
fatcat:e4mr2wrnhfdzflpvqizbo3ms4e
Large-Scale Massive Mimo Network Evaluation Using Ray-Based Deterministic Simulations
2018
Zenodo
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In this paper, linear, planar, circular and cylindrical arrays are used in the evaluation of a large-scale multi-cell massive MIMO network. ...
Large-scale massive MIMO network deployments can provide higher spectral efficiency and better coverage for future communication systems like 5G. ...
In this paper, a large-scale macro mMIMO network is analyzed in a real and complex environment, using physical channel realizations and precise system simulations. ...
doi:10.5281/zenodo.1423040
fatcat:wcnh7arrgnalbfd33ieuq6gu2q
Deterministic 5G mmWave Large-Scale 3D Path Loss Model for Lagos Island, Nigeria
2021
IEEE Access
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The Close-In (CI) model, Floating Intercept (FI) path loss model, and a root mean square error (RMSE) are used to model and evaluate the best path loss model for Lagos Island. ...
From all the scenarios evaluated, the lowest path loss exponent achieved was 0.45, while the highest path loss exponent was 3.8. ...
Our research conducted a large-scale path loss modeling. ...
doi:10.1109/access.2021.3114771
fatcat:7ufoogzokzcadi2jpp65g6pu6i
Distributed Stabilization by Probability Control for Deterministic-Stochastic Large Scale Systems : Dissipativity Approach
[article]
2020
arXiv
pre-print
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By using dissipativity approach, we establish the stability condition for the feedback connection of a deterministic dynamical system Σ and a stochastic memoryless map Ψ. ...
After that, we extend the result to the class of large scale systems in which: Σ consists of many sub-systems; and Ψ consists of many "stochastic actuators" and "probability controllers" that control the ...
CONCLUSIONS Based on dissipativity, this paper establishes the stability condition for a class of large scale discrete-time systems which consists of deterministic dynamical sub-systems and stochastic ...
arXiv:2005.03193v1
fatcat:psnjcumh5bc2faef46mydfrvcq
Deterministic and random features for large-scale quantum kernel machine
[article]
2022
arXiv
pre-print
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That is, for a class of quantum kernels with generalization capability, we show that the QKM with those quantum kernels can be made scalable by using our proposed deterministic and random features. ...
In particular, quantum neural networks (QNN) are actively studied as the method that works both in near-term quantum computers and fault-tolerant quantum computers. ...
Also, the spatial complexity scales as O(M 2 ), since we need to store all components of Q. These scalability issues hinder adopting the QKM to problems with a large dataset. ...
arXiv:2209.01958v1
fatcat:2ocqtqku6vhh3naecrvwxrbfjy
SHIM: a deterministic model for heterogeneous embedded systems
2006
IEEE Transactions on Very Large Scale Integration (vlsi) Systems
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Our SHIM (software/hardware integration medium) model, effectively Kahn networks with rendezvous communication, provides deterministic concurrency. ...
While each is well-behaved in isolation, combining the two gives a nondeterministic model whose ultimate behavior must be validated through expensive (cycle-accurate) simulation. ...
Systems are invariably validated using simulation. Although simulation provides advantages such as scaling, its Achilles' heel is its need of appropriate stimulus. ...
doi:10.1109/tvlsi.2006.878473
fatcat:ogrb3aauyvd6dgybwr4e7wqmce
A Performance Model of Non-deterministic Particle Transport on Large-Scale Systems
[chapter]
2003
Lecture Notes in Computer Science
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There is currently great interest in the use of non-deterministic particle simulation on large-scale systems-both those 0167-739X/$ -see front matter ...
In this work we present a predictive analytical model that encompasses the performance and scaling characteristics of a nondeterministic particle transport application, MCNP (Monte Carlo N-Particle), that ...
Acknowledgements This work was supported in part by LDRD 2001609DR "Performance Analysis and Modeling of Extreme-Scale Parallel Architectures". ...
doi:10.1007/3-540-44863-2_89
fatcat:rz7j7sivbvgezjnk75h4jduonm
A performance model of non-deterministic particle transport on large-scale systems
2006
Future generations computer systems
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There is currently great interest in the use of non-deterministic particle simulation on large-scale systems-both those 0167-739X/$ -see front matter ...
In this work we present a predictive analytical model that encompasses the performance and scaling characteristics of a nondeterministic particle transport application, MCNP (Monte Carlo N-Particle), that ...
Acknowledgements This work was supported in part by LDRD 2001609DR "Performance Analysis and Modeling of Extreme-Scale Parallel Architectures". ...
doi:10.1016/j.future.2004.11.018
fatcat:mjmelxb7irfl7hfxcukwv4b3dm
Large-Scale Heterogeneous Computing for 3D Deterministic Particle Transport on Tianhe-2A Supercomputer
2021
Frontiers in Energy Research
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In this paper, we introduce a new method of large-scale heterogeneous computing of one energy group time-independent deterministic discrete ordinates neutron transport in 3D Cartesian geometry (Sweep3D ...
Discrete ordinate method (Sn) is one of the most popular deterministic numerical methods for solving particle transport equations. ...
CONCLUSION AND FUTURE WORK We introduce a new method of large-scale heterogeneous computing 3D deterministic particle transport, which is designed for Tianhe-2A supercomputer. ...
doi:10.3389/fenrg.2021.701437
fatcat:5znhweuh2zeetiaak7tjxvzcxu
DCG: deterministic clock-gating for low-power microprocessor design
2004
IEEE Transactions on Very Large Scale Integration (vlsi) Systems
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With the scaling of technology and the need for higher performance and more functionality, power dissipation is becoming a major bottleneck for microprocessor designs. ...
Because clock power can be significant in high-performance processors, we propose a deterministic clock-gating (DCG) technique which effectively reduces clock power. ...
This paper fills this gap by proposing DCG, presenting the issues, and evaluating the deterministic methodology. • DCG not only achieves large power savings, but also incurs no performance loss, while ...
doi:10.1109/tvlsi.2004.824307
fatcat:fz5iyk3qefettiwewfq4o4wmpy
HydEE: Failure Containment without Event Logging for Large Scale Send-Deterministic MPI Applications
2012
2012 IEEE 26th International Parallel and Distributed Processing Symposium
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At this scale, mean time between failures is expected to be a few hours. ...
In this paper, we propose HydEE, a hybrid rollback-recovery protocol for send-deterministic message passing applications, that provides failure containment without logging any event, and only a subset ...
This work was supported by INRIA-Illinois Joint Laboratory for Petascale Computing and the ANR RESCUE and G8 ECS (Toward Exascale Climate Simulations) projects. ...
doi:10.1109/ipdps.2012.111
dblp:conf/ipps/GuermoucheRSC12
fatcat:bzgpk2zcgrfdnlaccvs5ize67q
Simulating and evaluating interconnection networks with INSEE
2011
Simulation modelling practice and theory
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It is composed of two main modules: a Functional Simulator of Interconnection Networks (FSIN) and a TRaffic GENeration module (TrGen), together with several other modules that extend INSEE's functionality ...
INSEE has been used to conduct a variety of studies, including evaluation of novel topologies, diagnosis of causes of network congestion and evaluation of parallel scheduling algorithms. ...
Navaridas is supported by a post-doctoral grant of The University of the Basque Country. Mr. Pascual is supported by a doctoral grant of the Basque Government. ...
doi:10.1016/j.simpat.2010.08.008
fatcat:zhimlng6mjgjtkbic2dtixwc24
Preliminary Evaluation of a Parallel Trace Replay Tool for HPC Network Simulations
[chapter]
2015
Lecture Notes in Computer Science
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It addresses two major shortcomings in current network simulators. First, it enables fast and scalable simulations of large-scale supercomputer networks. ...
This paper presents a preliminary evaluation of TraceR, a trace replay tool built upon the ROSS-based CODES simulation framework. ...
First, sequential simulators have large memory footprints and long execution times when simulating large execution traces. ...
doi:10.1007/978-3-319-27308-2_34
fatcat:ykmrdp6fcrhcjdhx6bvek7uzqi
FERN – a Java framework for stochastic simulation and evaluation of reaction networks
2008
BMC Bioinformatics
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Results: In this article, we present FERN (Framework for Evaluation of Reaction Networks), a Java framework for the efficient simulation of chemical reaction networks. ...
These plugins make it possible to run simulations and to observe the simulation progress in a reaction network in real-time from within the Cytoscape or CellDesigner environment. ...
To test the implementation of a stochastic simulation algorithm, simulations have to be performed a large number of times (in general 10,000 times) for each individual model. ...
doi:10.1186/1471-2105-9-356
pmid:18755046
pmcid:PMC2553347
fatcat:ptdwslgyabhsjneauikyzo2psm
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