Modeling and simulation of a cellular system on computers are now becoming an essential process in biological researches. However, modern PCs can\u27t provide enough performance to simulate large-scale biochemical networks. ReCSiP is the alternative FPGA-based solution for biochemical simulations. In this paper, the novel method of biochemical simulation with multiple reaction models on an FPGA is proposed. The method generates optimal circuit and its optimal schedule for each simulation models written in SBML, the standard markup language in systems biology. ReCSiP has a Xilinx\u27s XC2VP70 and achieved over 20-fold speedup compared to Intel’s PentiumIII 1.13GHz.19th IEEE International Parallel and Distributed Processing Symposium (IPDPS\u...
A reaction system is a modeling framework for investigating the functioning of the living cell, focu...
Understanding biological evolution prompts for a detailed understanding of the realized phenotype. B...
In systems and synthetic biology, it is common to build chemical reaction network (CRN) models of bi...
Modeling and simulation of a cellular system on computers are now becoming an essential process in b...
Stochastic simulation of large-scale biochemical reaction networks, with thousands of reactions, is ...
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...
This thesis explores the use of reconfigurable hardware in modeling chemical species reacting in a s...
Simulation of chemical systems allows bio-chemists to under-stand how the interactions of individual...
This paper discusses design methodology of high-throughput arithmetic pipeline modules for an FPGA-b...
In order to simulate large scale biological models with a reconfigurable FPGA-based biochemical simu...
International audienceBiological functions emerge from a multitude of chemical species woven into in...
Mathematical and statistical modeling of biological systems is a desired goal for many years. Many b...
For FPGA-based scientific simulation systems, hardware design technique that can reduce required amo...
It is a dream of Systems-Biology to efficiently simulate an entire cell on a computer. The potential...
A reaction system is a modeling framework for investigating the functioning of the living cell, focu...
Understanding biological evolution prompts for a detailed understanding of the realized phenotype. B...
In systems and synthetic biology, it is common to build chemical reaction network (CRN) models of bi...
Modeling and simulation of a cellular system on computers are now becoming an essential process in b...
Stochastic simulation of large-scale biochemical reaction networks, with thousands of reactions, is ...
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...
This thesis explores the use of reconfigurable hardware in modeling chemical species reacting in a s...
Simulation of chemical systems allows bio-chemists to under-stand how the interactions of individual...
This paper discusses design methodology of high-throughput arithmetic pipeline modules for an FPGA-b...
In order to simulate large scale biological models with a reconfigurable FPGA-based biochemical simu...
International audienceBiological functions emerge from a multitude of chemical species woven into in...
Mathematical and statistical modeling of biological systems is a desired goal for many years. Many b...
For FPGA-based scientific simulation systems, hardware design technique that can reduce required amo...
It is a dream of Systems-Biology to efficiently simulate an entire cell on a computer. The potential...
A reaction system is a modeling framework for investigating the functioning of the living cell, focu...
Understanding biological evolution prompts for a detailed understanding of the realized phenotype. B...
In systems and synthetic biology, it is common to build chemical reaction network (CRN) models of bi...