In this paper, we suggest a variational model for optic flow computation based on non-linearised and higher order constancy assumptions. Besides the common grey value constancy ass...
The usage of parallelization and distribution techniques in the field of ontology matching is of high interest for the semantic web community. This work presents an approach for ma...
Axel Tenschert, Matthias Assel, Alexey Cheptsov, G...
This paper presents a novel reconfigurable data flow processing architecture that promises high performance by explicitly targeting both fine- and course-grained parallelism. This...
Charles L. Cathey, Jason D. Bakos, Duncan A. Buell
—MapReduce has emerged as a popular tool for distributed and scalable processing of massive data sets and is increasingly being used in e-science applications. Unfortunately, the...
Benjamin Gufler, Nikolaus Augsten, Angelika Reiser...
Effective use of communication networks is critical to the performance and scalability of parallel applications. Partitioned Global Address Space languages like UPC bring the pro...