Input/output virtualization of Elbrus microprocessors

Scaling of global inputoutput networks

Examining scaling patterns of networks can help understand how structural features relate to the behavior of the networks. Input–output networks consist of industries as nodes and inter-industrial exchanges of products as links. Previous studies consider limitedmeasures for node strengths and link weights, and also ignore the impact of dataset choice. We consider a comprehensive set of indicato...

Distributed control of nonlinear diffusion systems by inputoutput linearization

This paper addresses the distributed control by input–output linearization of a nonlinear diffusion equation that describes a particular but important class of distributed parameter systems. Both manipulated and controlled variables are assumed to be distributed in space. The control law is designed using the concept of characteristic index from geometric control by using directly the PDE model...

Optimal Control of Unknown Nonlinear System From Inputoutput Data

Tiled microprocessors

Pre-Virtualization: Slashing the Cost of Virtualization

Despite its current popularity, para-virtualization has an enormous cost. Its diversion from the platform architecture abandons many of the benefits that come with pure virtualization (the faithful emulation of the platform API): stable and well-defined platform interfaces, single binaries for kernel and device drivers (and thus lower testing, maintenance, and support cost), and vendor independ...