This article proposes a hardware/software partitioning method targeted to performance-constrained systems for datapath applications. Exploiting a platform based design, a Timed Pe...
We propose a technique which leverages configurable data caches to address the problem of cache interference in multitasking embedded systems. Data caches are often necessary to p...
Large-scale data analysis has become increasingly important for many enterprises. Recently, a new distributed computing paradigm, called MapReduce, and its open source implementat...
This work addresses the need for stateful dataflow programs that can rapidly sift through huge, evolving data sets. These data-intensive applications perform complex multi-step c...
Dionysios Logothetis, Christopher Olston, Benjamin...
LOFAR is the first of a new generation of radio telescopes. Rather than using expensive dishes, it forms a distributed sensor network that combines the signals from many thousands...
John W. Romein, P. Chris Broekema, Jan David Mol, ...