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Kai Shen
Assistant Professor |
My research interests fall into the broad areas of operating systems, distributed systems, and parallel computing. One of my current research focuses is on the the understanding and management of complex server systems (particularly I/O-intensive servers and multi-component network services). Recently I also worked on portable high-performance sparse matrix computation and on scalable Internet overlay networks. I am a recipient of the NSF CAREER Award and the IBM Faculty Award.
I am the principal developer of Neptune, a middleware system for cluster-based network services. The Neptune software has been deployed at the search engine Ask.com, where the system hosts servers with thousands of processors. I am also the principal developer of the S+ parallel sparse Gaussian Elimination solver. S+ has been packaged as part of Sun HPC ClusterTools 4.0 Software.
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Supervised PhD or Masters Theses.
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