ABSTRACT
We address the effects of dry friction, which has emerged only recently to play an important role in some biological systems. In particular, we investigate the nonequilibrium dynamics of a mesoscopic particle, bound to a spring being pulled at a definite speed, moving on a surface with dry friction in a noisy environment. We model the dry friction phenomenologically with a term that is proportional to the sign of the velocity, and by means of numerical simulations of a Langevin equation we show that (a) the frictional force scales with the logarithm of the pulling velocity, (b) the probability distribution function of the spatial displacement away from the potential minimum is non-Gaussian, (c) the fluctuation-dissipation theorem is violated as expected, but (d) the work function obeys the stationary fluctuation theorem, with an effective temperature related to the noise of the system.
ABSTRACT
Highly parallel computing architectures are the only means to achieve the computational rates demanded by advanced scientific problems. A decade of research has demonstrated the feasibility of such machines, and current research focuses on which architectures are best suited for particular dasses of problems. The architectures designated as MIMD and SIMD have produced the best results to date; neither shows a decisive advantage for most near-homogeneous scientific problems. For scientific problems with many dissimilar parts, more speculative architectures such as neural networks or data flow may be needed.
