This paper introduces a scalable FPGA implementation of a stochastic simulation algorithm (SSA) called the Next Reaction Method. There are some hardware approaches of SSAs that obtained high-through put on reconfigurable devices such as FPGAs, but these works lacked in scalability. The design of this work can accommodate to the increasing size of target biochemical models, or to make use of increasing capacity of FPGAs. Interconnection network between arithmetic circuits and multiple simulation circuits aims to perform a data-driven multi-threading simulation. Approximately 8 times speedup was obtained compared to an execution on Xeon 2.80GHz.2007 International Conference on Field Programmable Logic and Applications : Amsterdam, Netherlands...
In the last decade, different computing paradigms and modelling frameworks for the description and s...
For systems made up of a small number of molecules, such as a biochemical network in a single cell, ...
Abstract—Through computational methods, biologists are able learn more about molecular biology by bu...
This paper introduces a scalable FPGA implementation of a stochastic simulation algorithm (SSA) call...
Stochastic simulation of biochemical reaction networks are widely focused by life scientists to repr...
Stochastic simulation of large-scale biochemical reaction networks, with thousands of reactions, is ...
This thesis explores the use of reconfigurable hardware in modeling chemical species reacting in a s...
Mathematical and statistical modeling of biological systems is a desired goal for many years. Many b...
Simulation of chemical systems allows bio-chemists to under-stand how the interactions of individual...
The Gillespie’s Stochastic Simulation Algorithm (SSA) is a compact, computer-oriented Monte Carlo si...
Modeling and simulation of a cellular system on computers are now becoming an essential process in b...
Stochastic simulations of biochemical reaction networks can be computationally expensive on Central ...
The small number of some reactant molecules in biological systems formed by living cells can result ...
The small number of some reactant molecules in biological systems formed by living cells can result ...
Motivation: In biological systems formed by living cells, the small populations of some reactant spe...
In the last decade, different computing paradigms and modelling frameworks for the description and s...
For systems made up of a small number of molecules, such as a biochemical network in a single cell, ...
Abstract—Through computational methods, biologists are able learn more about molecular biology by bu...
This paper introduces a scalable FPGA implementation of a stochastic simulation algorithm (SSA) call...
Stochastic simulation of biochemical reaction networks are widely focused by life scientists to repr...
Stochastic simulation of large-scale biochemical reaction networks, with thousands of reactions, is ...
This thesis explores the use of reconfigurable hardware in modeling chemical species reacting in a s...
Mathematical and statistical modeling of biological systems is a desired goal for many years. Many b...
Simulation of chemical systems allows bio-chemists to under-stand how the interactions of individual...
The Gillespie’s Stochastic Simulation Algorithm (SSA) is a compact, computer-oriented Monte Carlo si...
Modeling and simulation of a cellular system on computers are now becoming an essential process in b...
Stochastic simulations of biochemical reaction networks can be computationally expensive on Central ...
The small number of some reactant molecules in biological systems formed by living cells can result ...
The small number of some reactant molecules in biological systems formed by living cells can result ...
Motivation: In biological systems formed by living cells, the small populations of some reactant spe...
In the last decade, different computing paradigms and modelling frameworks for the description and s...
For systems made up of a small number of molecules, such as a biochemical network in a single cell, ...
Abstract—Through computational methods, biologists are able learn more about molecular biology by bu...