This paper proposes a comprehensive modeling architecture for workloads on parallel computers using Markov chains in combination with state dependent empirical distribution functi...
- This paper presents an effective technique for compacting a large sequence of input vectors into a much smaller one such that when the two sequences are applied to any circuit, t...
This work presents techniques for computing the switching activities of all circuit nodes under pseudorandom or biased input sequences and assuming a zero delay mode of operation....
In this paper we offer several models of reference sequences (traces of references) using Markov chains for testing of the replacement policies in caching systems. These models en...
Michael V. Grankov, Ngo Thanh Hung, Mosab Bassam Y...
Hidden Markov models assume that observations in time series data stem from some hidden process that can be compactly represented as a Markov chain. We generalize this model by as...