Beyond Miransky scaling

Silicon CMOS devices beyond scaling

devices beyond scaling W. Haensch E. J. Nowak R. H. Dennard P. M. Solomon A. Bryant O. H. Dokumaci A. Kumar X. Wang J. B. Johnson M. V. Fischetti To a large extent, scaling was not seriously challenged in the past. However, a closer look reveals that early signs of scaling limits were seen in high-performance devices in recent technology nodes. To obtain the projected performance gain of 30% pe...

Automatic Scaling of OpenMP Beyond Shared Memory

OpenMP is an explicit parallel programming model that offers reasonable productivity. Its memory model assumes a shared address space, and hence the direct translation as done by common OpenMP compilers requires an underlying shared-memory architecture. Many lab machines include 10s of processors, built from commodity components and thus include distributed address spaces. Despite many efforts ...

Distributed Data Mining: Scaling up and beyond

In this chapter I begin by discussing Distributed Data Mining (DDM) for scaling up, beginning by asking what scaling up means, questioning whether it is necessary, and then presenting a brief survey of what has been done to date. I then provide motivation beyond scaling up, arguing that DDM is a more natural way to view data mining generally. DDM eliminates many difficulties encountered when co...

Scaling Identities for Solitons beyond Derrick’s Theorem

New integral identities satisfied by topological solitons in a range of classical field theories are presented. They are derived by considering independent length rescalings in orthogonal directions, or equivalently, from the conservation of the stress tensor. These identities are refinements of Derrick’s theorem.

Beyond Scaling Up: Pathways to Universal Access to Health Services