Abstract. We introduce a concept of self-organizing Hybrid Neurofuzzy Networks (HNFN), a hybrid modeling architecture combining neurofuzzy (NF) and polynomial neural networks(PNN)....
As the number of I/O-intensive MPI programs becomes increasingly large, many efforts have been made to improve I/O performance, on both software and architecture sides. On the sof...
Searching for multiple string patterns in a stream of data is a computationally expensive task. The speed of the search pattern module determines the overall performance of deep p...
In this papel; we address the severe performance gap caused by high processor clock rates and slow DRAM accesses. We show that even with an aggressive, next-generation memory syst...
As microprocessors become increasingly complex, the techniques used to analyze and predict their behavior must become increasingly rigorous. This paper applies wavelet analysis te...