The recent turmoil in global credit markets has demonstrated the need for advanced
modeling of credit risk, which can take into account the effects of changing economic …

Batch-means algorithms have long been used to estimate the standard error of sample
means from stationary simulation output. We discuss the extension of batching algorithms …

The authors propose a theoretical formalism, molecular finite automata (MFA), to describe
individual proteins as rule-based computing machines. The MFA formalism provides a …

Models of biological networks have been studied through simulations using a number of
software tools. However, the intrinsic disparity between the sequential nature of …

In medical research it is of great importance to be able to quickly obtain answers to inquiries
about system response to different stimuli. Modeling the dynamics of biological regulatory …

We present SysPy (System Python) a tool which exploits the strengths of the popular Python
scripting language to boost design productivity of embedded System on Chips for FPGAs …

Monte-Carlo simulations and many other stochastic algorithms are almost ideal applications
for FPGAs, as the huge amount of available parallelism allows deep pipelining without loop …

Nowadays home automation systems integrate many devices from security system, heating,
ventilation and air conditioning system, lighting system or audio-video systems. Every time a …

Simulation of chemical systems allows bio-chemists to understand how the interactions of
individual molecules can lead to cellular and organism level behaviour. When the …

Due to the rapid progress of their manufacturing technologies, integrated circuit (ICs) can
now contain billions of transistors and operate at gigahertz frequencies. This great …