Supermon is a flexible set of tools for high speed, scalable cluster monitoring. Node behavior
can be monitored much faster than with other commonly used methods (eg, rstatd). In …

Non-invasive recording in untethered animals is arguably the ultimate step in the analysis of
neuronal function, but such recordings remain elusive. To address this problem, we devised …

This article describes the fabrication and use of microfluidic devices for investigating spatial
orientation behaviors in nematode worms (Caenorhabditis elegans). Until now, spatial …

The performance of a parallel application on a scalable HPC system is determined by user-level
execution of the application code and system-level (OS kernel) operations. To …

The Common Component Architecture (CCA) is a component model for high‐performance
computing, developed by a grass‐roots effort of computational scientists. Although the CCA is …

Illustrating the effect of concurrency on programs written in familiar languages, this text
focuses on novel language abstractions that truly bring concurrency into the language and aid …

Microbenchmarks, ie very small computational kernels, have become commonly used for
quantitative measures of node performance in clusters. For example, a commonly used …

The design of high-performance computing architectures requires performance analysis of
large-scale parallel applications to derive various parameters concerning hardware design …

We introduce a new, and quite general variational model for opinion dynamics based on
pairwise interaction potentials and a range of opinion evolution protocols ranging from random …

Online application performance monitoring allows tracking performance characteristics
during execution as opposed to doing so post-mortem. This opens up several possibilities …