In this paper we introduce the concept of zero-change transformations to quantify the suboptimality of existing placers. Given a netlist and its placement from a placer, we formal...
This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...
A number of techniques have been proposed to reduce the risk of data loss in hard-drives, from redundant disks (e.g., RAID systems) to error coding within individual drives. Disk ...
Complete algorithms have been proposed to solve problems modelled as distributed constraint optimization (DCOP). However, there are only few attempts to address real world scenari...
—In this paper we describe a practical methodology to formally verify highly optimized, industrial multipliers. We a multiplier description language which abstracts from low-leve...
Udo Krautz, Markus Wedler, Wolfgang Kunz, Kai Webe...