K-Means is a clustering algorithm that is widely applied in many fields, including pattern classification and multimedia analysis. Due to real-time requirements and computational-c...
The complexity of services and applications provided by Web sites is ever increasing as integration of traditional Web publishing sites with new paradigms, i.e., e-commerce. Each d...
Abstract. In this paper, we address two key trends in the synthesis of implementations for embedded multiprocessors — (1) the increasing importance of managing interprocessor com...
Bulk memory copies incur large overheads such as CPU stalling (i.e., no overlap of computation with memory copy operation), small register-size data movement, cache pollution, etc...
Karthikeyan Vaidyanathan, Lei Chai, Wei Huang, Dha...
This paper presents new achievements on the automatic mapping of algorithms, written in imperative software programming languages, to custom computing machines. The reconfigurable ...