at biologically interesting spatial/temporal scales becomes computationally intractable; this motivated the use of coarse-grained (CG) approaches. CG-MD models are used to study folding and conformational transitions in reduced resolution and can employ enlarged time steps due to the a bsence of some

As more sensitive data is shared and stored by third-party sites on the Internet, there will be a need to encrypt data stored at these sites. One drawback of encrypting data, is that it can be selectively shared only at a coarse-grained level (i.e., giving another party your private key). We

We use molecular dynamics (MD) both at the atomistic and coarse-grained level to predict the mechanical and thermal properties of thermosetting

to implement a single-chip multiproces-sor in the same area as a wide issue superscalar processor. We find that for applications with little parallelism the performance of the two microarchitectures is comparable. For applications with large amounts of parallelism at both the fine and coarse grained levels

We present a generalization of Zwanzig’s method of projection operators to the case where the underlying dynamics is not deterministic. The method allows us to perform a coarse graining of an already coarse-grained level of description in which fluctuations are important. The initial level

-doubling and subsequent bifurcations—to a variety of multiple-cluster states. The clustering dynamic behavior is computationally studied both at the detailed and the coarse-grained levels, and a numerical approach that can enable studying the coarse-grained dynamics in a network of arbitrarily large size is suggested

’ fluctuations in frustration between labs, were less successful. These results indicate that it is possible to detect frustration at a coarse-grained level, solely from coarse-grained data about students ’ behavior within a learning environment.

, and making these large-scale simulations tractable by minimizing required computational resources. As an alternative to packet-level simulation, we evaluate the applicability of coarse-grain transfer-level simulation to wide-area networked applications and services, and discuss the tradeoffs inherent

Coarse-grained fabrics are comprised of multi-bit configurable logic blocks and configurable interconnect. This work is focused on area and energy optimization techniques for coarse-grained reconfigurable fabric architectures. In this work, a variety of design techniques have been explored

Abstract — This paper defines a number of Query models used to visualize and explore the performance of Relational Algebra queries evaluated in a Dynamic, Distributed, Federated Database with a number of distinct network topologies. Query costs are modelled at a coarse grained level, using a small