In this paper we describe a software pipelining framework, CALiBeR (Cluster Aware Load Balancing Retiming Algorithm), suitable for compilers targeting clustered embedded VLIW proc...
This paper centers on the discussion of k-medoid-style clustering algorithms for supervised summary generation. This task requires clustering techniques that identify class-unifor...
Providing QoS (Quality of Service) in batch resources against the uncertainty of resource availability due to the space-sharing nature of scheduling policies is a critical capabil...
Yang-Suk Kee, Carl Kesselman, Daniel Nurmi, Richar...
In this paper we address the problem of combining multiple clusterings without access to the underlying features of the data. This process is known in the literature as clustering...
We explore the idea of evidence accumulation for combining the results of multiple clusterings. Initially, n d-dimensional data is decomposed into a large number of compact cluste...