A sintering-avoiding support

CA-SVM: Communication-Avoiding Support Vector Machines on Clusters

We consider the problem of how to design and implement communication-efficient versions of parallel support vector machines, a widely used classifier in statistical machine learning, for distributed memory clusters and supercomputers. The main computational bottleneck is the training phase, in which a statistical model is built from an input data set. Prior to our study, the parallel isoefficie...

Jooj: Real-Time Support For Avoiding Cyclic Dependencies

The design guideline avoid dependency cycles among modules was first alluded to by Parnas in 1978. Many tools have since been built to detect cyclic dependencies among a program’s organisational units, yet we still see real applications riddled with large dependency cycles. Our solution to this problem is to proactively check for dependency cycles as a developer writes code. In this way a cycle...

Sintering of Fine Oxide Powders: II, Sintering Mechanisms

Conventional and new sintering mechanisms have been porous compacts is well-known in the ceramic literature. However, several reports have been presented recently that investigated using fine powders of CeO2 and Y2O3 of excellent sinterability. We have verified the validity of Herring’s show that particle/grain size can remain essentially constant up to a density of 92%, and such a resistance t...

Anchored metal nanoparticles: effects of support and size on their energy, sintering resistance and reactivity.

Many catalysts consist of metal nanoparticles anchored to the surfaces of oxide supports. These are key elements in technologies for the clean production and use of fuels and chemicals. We show here that the chemical reactivity of the surface metal atoms on these nanoparticles is closely related to their chemical potential: the higher their chemical potential, the more strongly they bond to sma...

Avoiding a Giant Component