Tomonori Fukushima

Stochastic Simulation for Biochemical Reactions on FPGA

Biological cell simulations generally require high-powered computer resources. A reconfigurable system is a possible solution to the problem as an alternative approach against PC/WS clusters. A stochastic simulation algorithm proposed by Gillespie is implemented on a reconfigurable platform called ReCSiP, and the performance is evaluated. The implemented Lotka system outperforms the software implementation on AthlonXP2800+ by 105.13 times.

Efficient scheduling of rate law functions for ODE-based multimodel biochemical simulation on an FPGA

A reconfigurable biochemical simulator by solving ordinary differential equations has received attention as a personal high speed environment for biochemical researchers. For efficient use of the reconfigurable hardware, static scheduling of high-throughput arithmetic pipeline structures is essential. This paper shows and compares some scheduling alternatives, and analyzes the tradeoffs between performance and hardware amount. Through the evaluation, it is shown that the sharing first scheduling reduces the hardware cost by 33.8% in average, with the up to 11.5% throughput degradation. Effects of sharing of rate law functions are also analyzed.

ReCSiP: a reconfigurable cell simulation platform: accelerating biological applications with FPGA

ReCSiP is a reconfigurable accelerator which was designed for biocomputing. The first application described here is a kinetic simulation of metabolic systems, and the second one is an image processing accelerator. Both of can sufficient replace small PC/WS clusters.

A framework for ODE-based multimodel biochemical simulations on an FPGAs

Today, mathematical modeling and simulation of biochemical pathways take a major role in biological researches. However, modern microprocessors cannot provide enough throughputs to explore the large parameter space of target pathways. To address this problem, ReCSiP (a reconfigurable cell simulation platform), an FPGA-based biochemical simulator is proposed. Its an ODE-based simulator, which solves the rate-law functions. The framework proposed in this paper, enables to simulate pathways consisting many different types of chemical reactions by connecting the rate-law modules (solvers) on an FPGA. It provides the solver-to-solver communication mechanism on an FPGA and automatic configuration software to generate the circuit.