We describe a framework for better understanding scheduling policies for fine-grained parallel computations and their effect on space usage. We define a profiling semantics that c...
Abstract: We propose an effective algorithm for power optimization in behavioral synthesis. In previous work, it has been shown that several hardware allocation/binding problems fo...
This paper presents an application-specific, heterogeneous multiprocessor synthesis system, named HeMPS, that combines a form of Evolutionary Computation known as Differential Evo...
This paper presents a new approach to hierarchical high-level synthesis with respect to internal register-transfer structures of complex components. Entire subdesigns can efficie...
Abstract. In this paper we present a comparison of several inductive programming (IP) systems. IP addresses the problem of learning (recursive) programs from incomplete specificati...
Martin Hofmann 0008, Emanuel Kitzelmann, Ute Schmi...