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Professor Cevdet Aykanat
 
He is a Professor of the Computer Engineering Department of Bilkent University, Ankara, Turkey. He received the BS and MS degrees from Middle East Technical University, Ankara, Turkey, both in electrical engineering, and the PhD degree from Ohio State University, Columbus, in electrical and computer engineering. He was a Fullbright scholar during his PhD studies. He worked at the Intel Supercomputer Systems Division, Beaverton, Oregon, as a research associate. Since 1989, he has been affiliated with the Computer Engineering Department, Bilkent University. Prof. Aykanat has been leading the Parallel Computing Research Center at Bilkent University. The center has a long-term expertise in both theoretical and practical aspects of parallel computing. In the last decade, the center has conducted research and development on three different distributed-memory parallel systems, namely an iPSC/2 hypercube, a Parsytec CC system, and a PC cluster, which are acquired by funding from Intel, EU and TUBITAK, respectively. Prof. Aykanat was the coordinator of a 2.5-year EU-funded ITDC project on unstructured domain mapping for distributed-memory architectures. The center organized a two-week NATO ASI Workshop on "Parallel Computing on Distributed Memory Multiprocessors" in 1991. Research interests of the center mainly include parallel computing (especially for irregular and unstructured applications on distributed-memory architectures), parallel scientific computing and its combinatorial aspects, parallel computer graphics applications, parallel data mining, graph and hypergraph partitioning, load balancing, high-performance information retrieval and GIS systems, parallel and distributed databases, and Grid computing. Prof. Aykanat has published 35 articles in prestigious journals such as IEEE Trans. Computers, IEEE Trans. Parallel and Distributed Systems, J. Supercomputing, J. Parallel and Distributed Computing, IEEE Trans. Power Systems, IEEE Trans. Computer-Aided Design of Integrated Circuits, Data Mining and Knowledge Discovery, Information Systems, Visual Computer, Neurocomputing, Neural Networks, Computers & Graphics, Computer-Aided Design, and SIAM J. Scientific Computing. He also gave numerous invited talks and has more than 50 publications in the proceedings of international conferences. The theoretical and practical research of the center led to the following application software: Data partitioning and mapping (a state-of-the-art multilevel hypergraph partitioning tool that supports optimisation of various load balancing and communication metrics), iterative solvers (software utilities for development of parallel iterative methods for linear-system solutions), task assignment and allocation (models and software for minimizing the sum of task execution and inter-task communication times in distributed systems), synthetic image generation (efficient parallel progressive radiosity and ray-tracing software packages), scientific visualization (efficient parallel programs for direct volume rendering of 3D unstructured data Grids), information retrieval (models, algorithms, and software for efficient query processing in parallel text retrieval systems), data mining (parallel software for discovery of frequently-occurring patterns in very large datasets), geographic information systems (high-performance storage and access schemes for transportation networks), distributed database systems (data allocation and partitioning software for efficient parallel query processing in multi-disk systems).
 
 
 
 
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