scholarly journals On the performance potential of speculative execution based on branch and value prediction

2003 ◽  
Vol 16 (1) ◽  
pp. 83-91
Author(s):  
Pece Mitrevski ◽  
Marjan Gusev
Keyword(s):  
Petri Nets ◽  
Dynamic Behavior ◽  
Discrete Event Simulation ◽  
Discrete Event ◽  
Stochastic Petri Nets ◽  
Speculative Execution ◽  
Performance Potential ◽  
Value Prediction ◽  
Event Simulation ◽  
Instructions Per Cycle

Fluid Stochastic Petri Nets are used to capture the dynamic behavior of an ILP processor, and discrete-event simulation is applied to assess the performance potential of predictions and speculative execution in boosting the performance of ILP processors that fetch, issue, execute and commit a large number of instructions per cycle.

Modeling Power of Stochastic Petri Nets for Simulation

1988 ◽  
Vol 2 (4) ◽  
pp. 435-459 ◽  
Author(s):  
Peter J. Haas ◽  
Gerald S. Shedler
Keyword(s):  
Petri Nets ◽  
State Space ◽  
Discrete Event Simulation ◽  
Discrete Event ◽  
The State ◽  
Stochastic Petri Nets ◽  
Event Simulation ◽  
Transition Mechanism ◽  
Modeling Power ◽  
Semi Markov Process

Generalized semi-Markov processes and stochastic Petri nets have been proposed as general frameworks for a discrete event simulation on a countable state space. The two formal systems differ, however, with respect to the clock setting (event scheduling) mechanism, the state transition mechanism, and the form of the state space. We obtain conditions under which the marking process of a stochastic Petri net “mimics” a generalized semi-Markov process in the sense that the two processes (and their underlying general state-space Markov chains) have the same finite dimensional distributions. The results imply that stochastic Petri nets have at least the modeling power of generalized semiMarkov processes for discrete event simulation.

scholarly journals Modelling and Performance Analysis of Electric Car-Sharing Systems Using Petri Nets

2020 ◽  
Vol 170 ◽  
pp. 03001 ◽  
Author(s):  
A. Hamroun ◽  
K. Labadi ◽  
M. Lazri
Keyword(s):  
Petri Nets ◽  
Simulation Analysis ◽  
Discrete Event ◽  
Stochastic Petri Nets ◽  
Car Sharing ◽  
Event Simulation ◽  
Electric Car ◽  
Bike Sharing ◽  
And Performance ◽  
Charging Stations

Car sharing systems emerged as a new answer to mobility challenges in smart and sustainable cities. Despite their apparent success, design and exploitation of such systems raise crucial strategic and operational challenges. To help planners and decision makers, simulation, analysis and optimization models are unavoidable. Based on the formal modelling and analysis power of stochastic Petri nets, this paper proposes a discrete event simulation model for electric car sharing systems for performance and analysis purposes, taking into account their complex dynamic behaviour, organization and parameters including capacities of the stations, battery and energy availability, locations of charging stations and also their car maintenance activities, not negligible compared to the case of bike-sharing systems.

MODELING AND SIMULATION OF MOLECULAR BIOLOGY SYSTEMS USING PETRI NETS: MODELING GOALS OF VARIOUS APPROACHES

2004 ◽  
Vol 02 (04) ◽  
pp. 619-637 ◽  
Author(s):  
SIMON HARDY ◽  
PIERRE N. ROBILLARD
Keyword(s):  
Molecular Biology ◽  
Qualitative Analysis ◽  
Petri Nets ◽  
Discrete Event Simulation ◽  
Petri Net ◽  
Metabolic Networks ◽  
System Simulation ◽  
Discrete Event ◽  
Simulation Approach ◽  
Event Simulation

Petri nets are a discrete event simulation approach developed for system representation, in particular for their concurrency and synchronization properties. Various extensions to the original theory of Petri nets have been used for modeling molecular biology systems and metabolic networks. These extensions are stochastic, colored, hybrid and functional. This paper carries out an initial review of the various modeling approaches based on Petri net found in the literature, and of the biological systems that have been successfully modeled with these approaches. Moreover, the modeling goals and possibilities of qualitative analysis and system simulation of each approach are discussed.

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