Tahsin Kurc, Ph.D.	Phone: 410-502-7666 Beeper: Fax: 410-502-7675 Email: Kurc@cs.umd.edu
Research Links	Instructor, Department of Pathology Informatics Division The Johns Hopkins Medical Institutions	Department of Pathology Informatics Division 2024 East Monument Street, Suite 2-613 Baltimore, MD  21205   USA
Active Data Repository Data Cutter	Tahsin Kurc's research interests include algorithms and runtime systems for high-performance and data-intensive computing, parallel supercomputing applications, scientific visualization on parallel computers, and distributed computing. He earned his PhD in computer science from Bilkent University, Turkey, in 1997. He was a post- doctoral research associate in the Computer Science Department at the University of Maryland from July 1997 to July 2000. At Bilkent University, he developed novel techniques for scientific visualization on parallel computers. At the University of Maryland, he has been involved in the design and implementation of high-performance runtime systems to support manipulation of large scientific datasets on parallel machines and in distributed computing environments; he has been one of the primary developers of the Active Data Repository, a C++ class library and runtime system for developing data servers for multi- dimensional scientific datasets, and DataCutter, a middleware that enables processing of scientific datasets stored in archival storage systems across a wide-area network.	Photo not available at this time.

Recent Publications:

1.  T. Kurc, M. Uysal, H. Eom, J. Hollingsworth, J. Saltz, and A. Sussman. ``Efficient Performance Prediction for Large-Scale Data Intensive Applications''. The International Journal of High Performance Computing Applications, 2000. To appear.

2.  M. Beynon, T. Kurc, A. Sussman, and J. Saltz. ``Design of a Framework for Data-Intensive Wide-Area Applications''. The 2000 Heterogeneous Computing Workshop, Cancun, Mexico, May 2000.

3.  C. Chang, T. Kurc, A. Sussman, and J. Saltz. ``Optimizing Retrieval and Processing of Multi-dimensional Scientific Datasets''. The Third Merged IPPS/SPDP (14th International Parallel Processing Symposium &11th Symposium on Parallel and Distributed Processing), Cancun, Mexico, May 2000.

4.  M. Beynon, R. Ferreira, T. Kurc, A. Sussman, and J. Saltz.``DataCutter: Middleware for Filtering Very Large Scientific Datasets on Archival Storage Systems''. The Eighth Goddard Conference on Mass Storage Systems and Technologies/17th IEEE Symposium on Mass Storage Systems, College Park, Maryland, USA, March 2000.

5,  H. Kutluca, T. Kurc, and C. Aykanat. "Image-Space Decomposition Algorithms for Sort-First Parallel Volume Rendering of Unstructured Grids". The Journal of Supercomputing, Vol. 15, No. 1, pp. 51--93, 2000.

6.  R. Ferreira, T. Kurc, M. Beynon, C. Chang, A. Sussman, and J. Saltz.``Object-Relational Queries into Multi-dimensional Databases with the Active Data Repository''. Parallel Processing Letters, Vol. 9, No. 2, pp. 173--195, 1999.

7.  T. Kurc, M. Beynon, C. Chang, R. Ferreira, B. Bederson, J. Saltz, and A. Sussman. ``A High-Performance Database System for Managing Large Multi-resolution Medical Images''. The AMIA 1999 Annual Symposium, Washington, D.C., Nov. 1999.

8.   T. Kurc, C. Chang, R. Ferreira, A. Sussman, and J. Saltz. ``Querying Very Large Multi-dimensional Datasets in ADR''. The 1999 ACM/IEEE SC99 Conference, Portland, Oregon, USA, Nov. 1999.

9.   C. Chang, T. Kurc, A. Sussman, and J. Saltz. ``Query Planning for Range Queries with User-defined Aggregation on Multi-dimensional Scientific Datasets''. Technical Report, The University of Maryland, Computer Science Department and UMIACS, CS-TR-3996 and UMIACS-TR-99-15, Feb. 1999.

10. T. Kurc, A. Sussman and J. Saltz. "Coupling Multiple Simulations via a High Performance Customizable Database System". Ninth SIAM Conference on Parallel Processing for Scientific Computing, San Antonio, USA, March 1999.

11. M. Uysal, T. Kurc, A. Sussman and J. Saltz. "A Performance Prediction Framework for Data Intensive Applications on Large Scale Machines". 4th International Workshop on on Languages, Compilers and Run-time Systems for Scalable Computers (LCR '98), Pittsburgh, USA, May 1998. Published as Lecture Notes in Computer Science, vol. 1511, pp. 243--259, 1998.

12. T. Kurc, C. Aykanat and B. Ozguc. "Object-space Parallel Polygon Rendering on Hypercubes". Computers & Graphics, Vol. 22, No. 4, pp. 487--503, 1998.

13.  T. Kurc, C. Aykanat and B. Ozguc. "A parallel scaled conjugate-gradient algorithm for the solution phase of gathering radiosity on hypercubes". The Visual Computer, Vol. 13, No. 1, pp. 1--19, 1997.

14.  H. Kutluca, T. Kurc, C. Aykanat, and B. Ozguc. "A comparison of spatial subdivision algorithms for sort-first rendering". In Proceedings of HPCN Europe 97, International Conference and Exhibition on High Performance Computing and Networking, Vienna, Austria, April 1997.