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
Abstract-- Technological advances have made FPGAs an attractive platform for the acceleration of complex scientific applications. These applications demand high performance and hig...
Many numerical solutions of large scale simulation models require finer discretizations in some regions of the computational grid. When this region is not known in advance, adapti...
Increasing demands upon embedded systems for higher level services like networking, user interfaces and file system management, are driving growth in fully-featured operating syst...
The Apriori algorithm is a fundamental correlation-based data mining kernel used in a variety of fields. The innovation in this paper is a highly parallel custom architecture impl...