This work introduces novel parallelization techniques for Quantized State System (QSS) simulation of continuous time and hybrid systems and their implementation on a multi-core architecture. Exploiting the asynchronous nature of QSS algorithms, the novel methodologies are based on the use of non-strict synchronization between logical processes. The fact that the synchronization is not strict allows to achieve large speedups at the cost of introducing additional numerical errors that, under certain assumptions, are bounded depending on some given parameters. Besides introducing the parallelization techniques, the article describes their implementation on a software tool and it presents a theoretical analysis of the aforementioned additional ...
The simulation of quantum algorithms using classical computers consists in a methodology for the stu...
In this article, we study the effects of replacing the time discretization by the quantization of th...
This work focuses on the use of parallel hardware to improve the simulation speed of equation-based ...
This article introduces a stand–alone implementation of the Quantized State System (QSS) integration...
This article introduces a stand-alone implementation of the quantized state system (QSS) integration...
In this article we propose a modification to Linearly Implicit Quantized State System Methods (LIQSS...
In this article we study the performance of quantized state system algorithms in the simulation of s...
Integration of Ordinary Differential Equations (ODE's) plays a paramount role in the dynamic simulat...
This article explores the usage of novel tools for realistic modeling and efficient simulation of Hy...
A new class of dynamical systems, Quantized State Systems or QSS, is introduced in this paper. QSS a...
In this paper, new integration methods for stiff ordinary differential equations (ODEs) are develope...
The availability of high-performance computing tools gives the opportunity of solving mathematical r...
Adaptive step size solvers are nowadays considered fundamental to achieve efficient ODE integration....
Simulation of particle-matter interactions in complex geometries is one of the main tasks in high en...
Object-Oriented (O-O) languages like Modelica allow the description of multi-domain dynamical models...
The simulation of quantum algorithms using classical computers consists in a methodology for the stu...
In this article, we study the effects of replacing the time discretization by the quantization of th...
This work focuses on the use of parallel hardware to improve the simulation speed of equation-based ...
This article introduces a stand–alone implementation of the Quantized State System (QSS) integration...
This article introduces a stand-alone implementation of the quantized state system (QSS) integration...
In this article we propose a modification to Linearly Implicit Quantized State System Methods (LIQSS...
In this article we study the performance of quantized state system algorithms in the simulation of s...
Integration of Ordinary Differential Equations (ODE's) plays a paramount role in the dynamic simulat...
This article explores the usage of novel tools for realistic modeling and efficient simulation of Hy...
A new class of dynamical systems, Quantized State Systems or QSS, is introduced in this paper. QSS a...
In this paper, new integration methods for stiff ordinary differential equations (ODEs) are develope...
The availability of high-performance computing tools gives the opportunity of solving mathematical r...
Adaptive step size solvers are nowadays considered fundamental to achieve efficient ODE integration....
Simulation of particle-matter interactions in complex geometries is one of the main tasks in high en...
Object-Oriented (O-O) languages like Modelica allow the description of multi-domain dynamical models...
The simulation of quantum algorithms using classical computers consists in a methodology for the stu...
In this article, we study the effects of replacing the time discretization by the quantization of th...
This work focuses on the use of parallel hardware to improve the simulation speed of equation-based ...