The parallel simulation of biochemical reactions is a very interesting problem: biochemical systems are inherently parallel, yet the majority of the algorithms to simulate them, including the well-known and widespread Gillespie SSA, are strictly sequential. Here we investigate, in a general way, how to characterize the simulation of biochemical systems in terms of Discrete Event Simulation. We dissect their inherent parallelism in order both to exploit the work done in this area and to speed-up their simulation. We study the peculiar characteristics of discrete biological simulations in order to select the parallelization technique which provides the greater benefits, as well as to touch its limits. We then focus on reaction-diffusion syste...
Stochastic simulation of large-scale biochemical reaction networks, with thousands of reactions, is ...
Motivation: The importance of stochasticity in biological systems is becoming increasingly recognize...
Biological systems are characterised by a large number of interacting entities whose dynamics is des...
In this paper we give an overview of some very recent work on the stochastic simulation of systems i...
Computational techniques provide invaluable tools for developing a quantitative understanding the co...
International audienceThis work takes place in the context of biochemical kinetics simulation for th...
Stochastic, spatial reaction-diffusion simulations have been widely used in systems biology and comp...
In this dissertation, we introduce a novel accelerated-stochastic simulation method, known as the ‘p...
The Gillespie’s Stochastic Simulation Algorithm (SSA) is a compact, computer-oriented Monte Carlo si...
The paper arguments are on enabling methodologies for the design of a fully parallel, online, intera...
The stochastic simulation algorithm (SSA), first proposed by Gillespie, has become the workhorse of ...
Stochastic simulation of reaction kinetics has emerged as animportant computational tool in molecula...
Mathematical modeling and computer simulation are powerful approaches for understanding the complexi...
Abstract reaction event that occurs in the system, the accuracy of the method comes at a high comput...
Experimental and theoretical studies have shown the importance of stochastic processes in genetic re...
Stochastic simulation of large-scale biochemical reaction networks, with thousands of reactions, is ...
Motivation: The importance of stochasticity in biological systems is becoming increasingly recognize...
Biological systems are characterised by a large number of interacting entities whose dynamics is des...
In this paper we give an overview of some very recent work on the stochastic simulation of systems i...
Computational techniques provide invaluable tools for developing a quantitative understanding the co...
International audienceThis work takes place in the context of biochemical kinetics simulation for th...
Stochastic, spatial reaction-diffusion simulations have been widely used in systems biology and comp...
In this dissertation, we introduce a novel accelerated-stochastic simulation method, known as the ‘p...
The Gillespie’s Stochastic Simulation Algorithm (SSA) is a compact, computer-oriented Monte Carlo si...
The paper arguments are on enabling methodologies for the design of a fully parallel, online, intera...
The stochastic simulation algorithm (SSA), first proposed by Gillespie, has become the workhorse of ...
Stochastic simulation of reaction kinetics has emerged as animportant computational tool in molecula...
Mathematical modeling and computer simulation are powerful approaches for understanding the complexi...
Abstract reaction event that occurs in the system, the accuracy of the method comes at a high comput...
Experimental and theoretical studies have shown the importance of stochastic processes in genetic re...
Stochastic simulation of large-scale biochemical reaction networks, with thousands of reactions, is ...
Motivation: The importance of stochasticity in biological systems is becoming increasingly recognize...
Biological systems are characterised by a large number of interacting entities whose dynamics is des...