Abstract— This paper presents an exploration framework which performs data assignment and access scheduling exploration for applications given a multilayer memory architecture. O...
Radoslaw Szymanek, Francky Catthoor, Krzysztof Kuc...
Learning Deterministic Finite Automata (DFA) is a hard task that has been much studied within machine learning and evolutionary computation research. This paper presents a new met...
Self-Adapting Numerical Software (SANS) systems aim to bridge the knowledge gap that exists between the expertise of domain scientists, and the know-how that is needed to fulfill...
Creating accurate models of information systems is an important but challenging task. It is generally well understood that such modeling encompasses general scientific issues, bu...
Ulrik Franke, Pontus Johnson, Robert Lagerströ...
This paper introduces an exact schedulability analysis for the optional computation model urider a specified failure hypothesis. From this analysis, we propose a solutionfor deter...