The join is the most important, but also the most time consuming operation in relational database systems. We implemented the parallel Hybrid Hash Join algorithm on a PC-cluster a...
High-level stochastic description methods such as stochastic Petri nets, stochastic UML statecharts etc., together with specifications of performance variables (PVs), enable a co...
Synchronous Data Flow Graphs (SDFGs) have proved to be a very successful tool for modeling, analysis and synthesis of multimedia applications targeted at both single- and multiproc...
Amir Hossein Ghamarian, Marc Geilen, Twan Basten, ...
In this paper we address the the growing issue of junction tunneling leakage (Ijunc) at the circuit level. Specifically, we develop a fast approach to analyze the state-dependent ...
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...