Motivation: Gillespie's stochastic simulation algorithm (SSA) is often the most tractable
method to study stochastic models of biochemical systems. The algorithm itself is very …

The stochastic simulation of large-scale biochemical reaction networks is of great
importance for systems biology since it enables the study of inherently stochastic biological …

Stochastic simulation of large-scale biochemical reaction networks, with thousands of
reactions, is important for systems biology and medicine since it will enable the insilico …

Stochastic simulation of large-scale biochemical reaction networks, with thousands of
reactions, is important for systems biology and medicine since it will enable the insilico …

A soft IP core, expressed in parametric VHDL, has been developed and used to synthesize
different multiprocessor Systems on Chip (SoCs) for the stochastic simulation of large-size …

Biological functions emerge from a multitude of chemical species woven into intricate
biochemical networks. It is crucial to compute the dynamics of a biochemical network from its …

Hideharu Amano received the Ph. D degree from Keio University, Japan in 1986 under Prof.
Hideo Aiso's supervision.. From 1985, he was a research associate of department of electric …

Quantitative modeling of biochemical reaction kinetics has proven itself useful in studying
the behavior of diverse cellular phenomena, and has emerged as one of the most important …

In the heterogeneous computing execution model, one or more general-purpose processors
are accelerated using one or more co-processors. In this model, general-purpose CPUs are …

論文抄録 本論文では, 512 個の FPGA から構成される 1 次元接続型 FPGA アレイ CUBE
の性能評価を目的に, 代表的なストリームアルゴリズムである文字列編集距離の並列アルゴリズム …