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Ümit V. Çatalyürek

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Publications by Year

Below is a list of my publications by year. Here is another list at DBLP, and you can also take a look at BMI publications.

2008:

  1. A Framework for Scalable Greedy Coloring on Distributed Memory Parallel Computers. D. Bozdag, A. Gebremedhin, F. Manne, E. G. Boman, U. V. Catalyurek, Journal of Parallel and Distributed Computing, Vol. 68, No. 4, pp. 515-535, 2008.
  2. Histopathological image analysis using model-based intermediate representation and color texture: Follicular Lymphoma grading . O. Sertel, J. Kong, U. V. Catalyurek, G. Lozanski, J. H. Saltz and M. N. Gurcan, Journal of Signal Processing Systems for Signal, Image, and Video Technology, to appear.
  3. Stroma classification for neuroblastoma on graphics processors. A. Ruiz, O. Sertel, M. Ujaldon, U. V. Catalyurek, J. H. Saltz, M. N. Gurcan, International Journal of Data Mining and Bioinformatics, to appear.
  4. Large-scale Biomedical Image Analysis in Grid Environments . V. S. Kumar, B. Rutt, T. Kurc, U. Catalyurek, T. Pan, S. Chow, S. Lamont, M. Martone, J. Saltz. IEEE Transactions on Information Technology in Biomedicine, Vol. 12, No. 2, pp. 154-161, Mar 2008.
  5. Using Overlays For Efficient Data Transfer Over Shared Wide-Area Networks. G. Khanna, U. Catalyurek, T.Kurc, R. Kettimuthu, P. Sadayappan, I. Foster, and J. Saltz, Proceedings of SC2008 High Performance Computing, Networking, and Storage Conference, Nov 2008. Acceptance rate 21%
  6. Biomedical Image Analysis on a Cooperative Cluster of GPUs and Multicores. T. Hartley, U. Catalyurek, A. Ruiz, M. Ujaldon, F. Igual, R. Mayo, Proceedings of 22nd ACM International Conference on Supercomputing (ICS’08), Jun 2008.
  7. A Dynamic Scheduling Approach for Coordinated Wide-Area Data Transfers using GridFTP. G. Khanna, U. Catalyurek, T.Kurc, R. Kettimuthu, P. Sadayappan, and J. Saltz, Proceedings of 22nd IEEE International Parallel & Distributed Processing Symposium (IPDPS’08), Apr 2008.
  8. Texture classification using non-linear color quantization:Application to histopathological image analysis.O. Sertel, J. Kong, G Lozanski, U. Catalyurek, J. Saltz, M. Gurcan, Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2008), 2008.
  9. Computer-aided prognosis of neuroblastoma: classification of stromal development on whole-slide images. O. Sertel, J. Kong, H. Shimada, U. Catalyurek, J. Saltz, M. Gurcan, Proceedings of SPIE Medical Imaging, Feb 2008.
  10. Computerized microscopic image analysis of follicular lymphoma. O. Sertel, J. Kong, U. Catalyurek, J. Saltz, M. Gurcan, G. Lozanski, Proceedings of SPIE Medical Imaging, Feb 2008.

2007:

  1. A Knowledge-Anchored Integrative Image Search and Retrieval System . S. Erdal, U. V. Catalyurek, P. R. Payne, J. Kamal, J. H. Saltz, M. N. Gurcan, Journal of Digital Imaging, 2007.
  2. Enabling high performance computational science through combinatorial algorithms. E. G. Boman, D. Bozdag, U. V. Catalyurek, K. D. Devine, A. H. Gebremedhin, P. D. Hovland, A. Pothen, M. M. Strout, Journal of Physics: Conference Series, Vol. 78, pp. 12058, 2007.
  3. Combinatorial Algorithms for Petascale Science. A. Pothen, A. H. Gebremedhin, F. Dobrian, E.G. Boman, K. D. Devine, P.D. Hovland, B. Norris, J. Utke, U.V. Catalyurek, and M. M. Strout. SciDAC Review, No. 5, pp. 26-35, Fall 2007.
  4. Hypergraph-based Dynamic Load Balancing for Adaptive Scientific Computations. U.V. Catalyurek, E.G. Boman, K.D. Devine, D. Bozdag, R. Heaphy, L.A. Riesen. Proceedings of 21st IEEE International Parallel & Distributed Processing Symposium (IPDPS’07), 2007. Won best paper award in the Algorithms track.
  5. Pathological Image Analysis Using the GPU: Stroma Classification for Neuroblastoma. A. Ruiz, O. Sertel, M. Ujaldon, U. V. Catalyurek, M. N. Gurcan, J. H. Saltz. Proceedings IEEE Intl. Conference on BioInformation and BioMedicine, 2007.
  6. Computerized Pathological Image Analysis For Neuroblastoma Prognosis. M. N. Gurcan, J. Kong, O. Sertel, B. B. Cambazoglu, J. H. Saltz, U. V. Catalyurek. 2007 AMIA Annual Symposium, 2007.
  7. Performance vs. Accuracy Trade-offs for Large-scale Image Analysis. V. S. Kumar, T. M. Kurc, J. Kong, U. V. Catalyurek, M. N. Gurcan, J. H. Saltz. Proceedings of the IEEE Cluster 2007, 2007.
  8. Scheduling File Transfers for Data-Intensive Jobs on Heterogeneous Clusters. G. Khanna, U. Catalyurek, T.Kurc, P. Sadayappan, and J. Saltz. Proceedings of Euro-Par, Aug 2007. Acceptance rate 27%.
  9. Toward Optimizing Latency under Throughput Constraints for Application Workflows on Clusters. N. Vydyanathan, U. Catalyurek, T. Kurc, J. Saltz, and P. Sadayappan. Proceedings of Euro-Par, Aug 2007. Acceptance rate 27%.
  10. Efficient Processing of Pathological Images Using the Grid: Computer-Aided Prognosis of Neuroblastoma. B. B. Cambazoglu, O. Sertel, J. Kong, J. Saltz, M. N. Gurcan, U. V. Catalyurek. Proceedings of the International Workshop on Challenges of Large Applications in Distributed Environments (CLADE’07), Jun 2007.
  11. Intelligent Optimization of Parallel and Distributed Applications. B. Bansal, Ü. V. Çatalyürek, J. Chame, C. Chen, E. Deelman, Y. Gil, M. W. Hall, V. Kumar, T. M. Kurç, K. Lerman, A. Nakano, Yoon-Ju Lee Nelson, J. H. Saltz, A. Sharma, P. Vashishta, IPDPS 2007.
  12. A global address space framework for locality aware scheduling of block-sparse computations. S. Krishnamoorthy, Ü. V. Çatalyürek, J. Nieplocha, A. Rountev, P. Sadayappan, IPDPS 2007.
  13. An Efficient and Reliable Scientific Workflow System. T. Tavares, G. Teodoro, T. M. Kurç, R. Ferreira, D. O. G. Neto, W. Meira Jr., Ü. V. Çatalyürek, S. Hastings, S. Oster, S. Langella, J. H. Saltz. CCGRID 2007, pp. 445-452, May 2007.
  14. Dynamic Data-Driven Systems Approach for Simulation Based Optimizations. T. M. Kurç, X. Zhang, M. Parashar, H. Klie, M. F. Wheeler, Ü. V. Çatalyürek, J. H. Saltz. International Conference on Computational Science (1) 2007, Lecture Notes in Computer Science 4487 Springer 2007, pp. 1213-1221, May 2007.

2006:

  1. Models, methods and middleware for grid-enabled multiphysics oil reservoir management. H. Klie, W. Bangerth, X. Gai, M.F. Wheeler, P.L. Stoffa, M. Sen, M. Parashar, U. Catalyurek, J. Saltz, and T. Kurc. Engineering with Computers, Springer Verlag, 2006.
  2. Supporting Scalable and Distributed Data Subsetting and Aggregation in Large-Scale Seismic Data Analysis. X. Zhang, B. Rutt, U. Catalyurek, T. Kurc, P. Stoffa, M.Sen, and J. Saltz. The International Journal of High Performance Computing Applications, Vol. 20, No. 3, pp. 423-438, 2006.
  3. An XML-based System for Synthesis of Data from Disparate Databases. T. Kurc, D.A. Janies, A. Johnson, S. Langella, S. Oster, S. L. Hastings, F. Habib, T. Camerlengo, D.W. Ervin, U. V. Catalyurek, and J.H. Saltz. Journal of the American Medical Informatics Association, Vol. 13, No. 3, May/June, 2006
  4. Hypergraph Partitioning for Automatic Memory Hierarchy Management. S. Krishnamoorthy, U. Catalyurek, J. Nieplocha, A. Rountev and P. Sadayappan. Proceedings of SC2006 High Performance Computing, Networking, and Storage Conference, Nov 2006. Acceptance rate 23%.
  5. Large Image Correction and Warping in a Cluster Environment. V. S. Kumar, B. Rutt, T. Kurc, U. Catalyurek, S. Chow, S. Lamont, and J. Saltz. Proceedings of SC2006 High Performance Computing, Networking, and Storage Conference, Nov 2006. Acceptance rate 23%.
  6. MSSG: A Framework for Massive Scale Semantic Graphs. T. Hartley, U. Catalyurek, F. Özgüner, A. Yoo, S. Kohn and K. Henderson. Proceedings of 2006 IEEE International Conference on Cluster Computing, Sep 2006.
  7. Improving Functional Modularity in Protein-Protein Interactions Graphs Using Hub-induced Subgraphs. D. Ucar, S. Asur, U. Catalyurek, and S. Parthasarathy. In Proceedings of the European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD), Sep 2006.
  8. Locality Conscious Processor Allocation and Scheduling for Mixed Parallel Applications. N. Vydyanathan, S. Krishnamoorthy, G. Sabin, U. Catalyurek, T. Kurc, P. Sadayappan, and Joel Saltz. Proceedings of 2006 IEEE International Conference on Cluster Computing, Sep 2006.
  9. On Creating Efficient Object-relational Views of Scientific Datasets. S. Narayanan, T. Kurc, U. Catalyurek, and J. Saltz. Proceedings of the 2006 International Conference on Parallel Processing (ICPP-06), Aug 2006.
  10. An Integrated Approach for Processor Allocation and Scheduling of Mixed-Parallel Applications. N. Vydyanathan, S. Krishnamoorthy, G. Sabin, U. Catalyurek, T. Kurc, P. Sadayappan, and J. Saltz. Proceedings of the 2006 International Conference on Parallel Processing (ICPP-06), Aug 2006.
  11. Using Space and Attribute Partitioned Partial Replicas for Data Subsetting and Aggregation Queries. L. Weng, U. Catalyurek, T. Kurc, G. Agrawal, and J. Saltz. Proceedings of the 2006 International Conference on Parallel Processing (ICPP-06), Aug 2006.
  12. A Data Locality Aware Online Scheduling Approach for I/O-Intensive Jobs with File Sharing. G. Khanna, U. Catalyurek, T.Kurc, P. Sadayappan, and J. Saltz. Proceedings of the 12th International Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP 2006), In Conjunction with SIGMETRICS 2006, Saint-Malo, France, Jun 2006.
  13. Task Scheduling and File Replication for Data-Intensive Jobs with Batch-shared I/O. G. Khanna, N. Vydyanathan, U. Catalyurek, T.Kurc, S. Krishnamoorthy, P. Sdayappan, and J. Saltz. Proceedings of the 15th IEEE International Symposium on High-Performance Distributed Computing (HPDC-15), pp. 241-252, Paris, France, Jun 2006. Acceptance rate 15%.
  14. Distributed Dynamic Event Tree Generation for Reliability and Risk Assessment. B. Rutt, U. Catalyurek, A. Hakobyan, K. Metzroth, T. Aldemir, R. Denning, S. Dunagan, and D. Kunsman. Proceedings of the International Workshop on Challenges of Large Applications in Distributed Environments (CLADE’06), pp. 61-70, Jun 2006.
  15. Parallel Hypergraph Partitioning for Scientific Computing. K. D. Devine, E. G. Boman, R. T. Heaphy, R, H. Bisseling, and U. V. Catalyurek. Proceedings of 20th IEEE International Parallel & Distributed Processing Symposium (IPDPS’06), 2006. Acceptance rate 24%.
  16. Scheduling of Tasks with Batch-shared I/O on Heterogeneous Systems. N. Vydyanathan, G. Khanna, U. Catalyurek, T. Kurc, J. Saltz, and P. Sadayappan. Proceedings of 20th International Parallel and Distributed Processing Symposium (IPDPS), The 15th Heterogeneous Computing Workshop (HCW 2006), 2006.
  17. A Task Duplication Based Bottom-Up Scheduling Algorithm for Heterogeneous Environments. D. Bozdag, U. Catalyurek, and F. Ozguner. Proceedings of 20th International Parallel and Distributed Processing Symposium (IPDPS), The 15th Heterogeneous Computing Workshop (HCW 2006), 2006.
  18. An Extensible Global Address Space Framework with Decoupled Task and Data Abstractions. S. Krishnamoorthy, U. Catalyurek, J. Nieplocha, A. Rountev, and P. Sadayappan. Proceedings of 20th International Parallel and Distributed Processing Symposium (IPDPS), Workshop on Next Generation Software (NGS), 2006.
  19. An Approach to Locality-Conscious Load Balancing and Transparent Memory Hierarchy Management with a Global-Address-Space Parallel Programming Model. S. Krishnamoorthy, U. Catalyurek, J. Nieplocha, and P. Sadayappan. Proceedings of 20th International Parallel and Distributed Processing Symposium (IPDPS), Workshop on Performance Optimization for High-Level Languages and Libraries (POHLL 2006), 2006.

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2005:

  1. XML database support for distributed execution of data-intensive scientific workflows. S. Hastings, M. Ribeiro, S. Langella, S. Oster, U. V. Catalyurek, T. Pan, K. Huang, R. Ferreira, J. H. Saltz, T. M. Kurc. SIGMOD Record 34(3): 50-55, September 2005.
  2. A Simulation and Data Analysis System for Large Scale, Data-Driven Oil Reservoir Simulation Studies. T. Kurc, U. Catalyurek, X. Zhang, J. Saltz, R. Martino, M. Wheeler, M. Peszynska, A. Sussman, C. Hansen, M. Sen, R. Seifoullaev, P. Stoffa, C. Torres-Verdin, M. Parashar. Concurrency and Computation: Practice and Experience, John Wiley and Sons, Vol. 17, No 11, pp. 1441-1467, September 2005.
  3. A Grid Based Image Archival and Analysis System. S. Hastings, S. Oster, S. Langella, T. M. Kurc, T. Pan, U. V. Catalyurek, and J. H. Saltz. Journal of American Medical Informatics Association, Vol. 12, No. 3, May/June 2005.
  4. Application of Grid-enabled Technologies for Solving Optimization Problems in Data-Driven Reservoir Studies. M. Parashar, H. Klie, U. Catalyurek, T. Kurc, V. Matossian, J. Saltz and M Wheeler. FGCS – The International Journal of Grid Computing: Theory, Methods and Applications, Elsevier Science Publishers, Vol. 21, Issue 1, pp. 19-26, 2005.
  5. Tools for Efficient Subsetting and Pipelined Processing of Large Scale, Distributed Biomedical Image Data. M. Ribeiro, T. Kurc,Tony Pan, K. Huang, U. Catalyurek, X. Zhang, S. Langella, S. Hastings, S. Oster, R. Ferreira and J. Saltz. Grid Computing: The New Frontier Of High Performance Computing, 14, Elseiver, Lucio Grandinetti, 2005.
  6. Virtual Microscopy: Distributed Image Storage, Retrieval, Analysis, and Visualization. T. C Pan, D. Cowden, U. V Catalyurek, S. Jewell, S. Hastings, S. Oster, S. Langella, T. M Kurc, J. H Saltz.. Parallel Computing in Bioinformatics, John Wiley & Sons, Albert Zomaya, 2005.
  7. A Scalable Distributed Parallel Breadth-First Search Algorithm on BlueGene/L. A. Yoo, E. Chow, K. Henderson, W. McLendon, B. Hendrickson and U. Catalyurek Proceedings of SC2005 High Performance Computing, Networking, and Storage Conference, Nov 2005, Gordon Bell Finalist.
  8. A Parallel Distance-2 Graph Coloring Algorithm for Distributed Memory Computers. D. Bozdag, U. Catalyurek, A. H.  Gebremedhin, F. Manne, E. G. Boman, and F. Ozguner. Proceedings of the 2005 International Conference on High Performance Computing and Communications (HPCC-05), Sep 2005.
  9. Servicing Seismic and Oil Reservoir Simulation Data. S. Narayanan, T. Kurc, U. Catalyurek, and J. Saltz. VLDB Workshop on Data Management in Grids, Sep 2005.
  10. Distributed Out-of-Core Preprocessing of Very Large Microscopy Images for Efficient Querying. B. Rutt, V. S. Kumar, T. Pan, T. Kurc, U. Catalyurek, Y. Wang, J. Saltz. Proceedings of the 2005 IEEE International Conference on Cluster Computing, Sep 2005, appeared in Outstanding Papers Session.
  11. An Efficient Parallel Graph Coloring Algorithm for Distributed Memory Computers. E. G. Boman, D. Bozdag, U. Catalyurek, A. H.  Gebremedhin, and F. Manne. Proceedings of Euro-Par, Sep 2005. Acceptance rate 31%.
  12. A Task Duplication Based Scheduling Algorithm Using Partial Schedules. D. Bozdag, F. Ozguner, E. Ekici, and U. Catalyurek. Proceedings of the 2005 International Conference on Parallel Processing (ICPP-05).
  13. Towards Dynamic Data-Driven Optimization of Oil Well Placement. M. Parashar, V. Matossian, W. Bangerth, H. Klie, B. Rutt, T. Kurc, U. Catalyurek, J. Saltz, M. F. Wheeler. Proceedings of the Workshop on Distributed Data Driven Applications and Systems, International Conference on Computational Science 2005 (ICCS 2005), Lecture Notes in Computer Science, Volume 3515, Apr 2005, Pages 656 – 663.
  14. Servicing Range Queries on Multidimensional Datasets with Partial Replicas. L. Weng, U. Catalyurek, T. Kurc, G. Agrawal, and J. Saltz. Proceedings of the Cluster Computing and Grid 2005 (CCGrid05).
  15. A Hypergraph Partitioning Based Approach for Scheduling of Tasks with Batch-shared I/O. G. Khanna, N. Vydyanathan, T. Kurc, U. Catalyurek, P. Wyckoff, J. Saltz, and P. Sadayappan. Proceedings of the Cluster Computing and Grid 2005 (CCGrid05).
  16. Design and Implementation of A Data Server using a Peer-to-Peer Storage System. V.S. Kumar, T. Kurc, U. Catalyurek, and J. Saltz. Proceedings of High Performance Computing Symposium (HPC 2005), 2005.
  17. A Runtime Framework for Partial Replication and Its Application for On-Demand Data Exploration. S. Narayanan, U. Catalyurek, T. Kurc, V.S. Kumar, and J. Saltz. Proceedings of High Performance Computing Symposium (HPC 2005), 2005.
  18. Grid-based Management of Biomedical Data using an XML-based Distributed Data Management System. S. Hastings, S. Langella, S. Oster, T. Kurc, T. Pan, U. Catalyurek, D. Janies, and J. Saltz. Proceedings of 20th ACM Symposium on Applied Computing (SAC2005) Bioinformatics Track, Santa Fe, New Mexico, March 2005.

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2004:

  1. Permuting Sparse Rectangular Matrices into Block-Diagonal Form. C. Aykanat, A. Pinar and U. V. Catalyurek. SIAM Journal of Scientific Computing, Vol. 25, No. 6, pp. 1860-1879, 2004.
  2. Use of PVFS for Efficient Execution of Jobs with Pipeline-Shared I/O. N. Vydyanathan, G. Khanna, T. Kurc, U. Catalyurek, P. Wyckoff, J. Saltz, and P. Sadayappan. Proceedings of the Fifth IEEE/ACM International Workshop on Grid Computing (Grid 2004), 2004.
  3. Supporting SQL-3 Aggregations on Grid-based Data. L. Weng, G. Agrawal, U. Catalyurek, and J. Saltz. Proceedings of the 17th International Workshop on Languages and Compilers for Parallel Computing (LCPC 2004), September 2004.
  4. A Distributed Data Management Middleware for Data-Driven Application Systems. S. Langella, S. Hastings, S. Oster, T. Kurc, U. Catalyurek, and J. Saltz. Proceedings of the 2004 IEEE International Conference on Cluster Computing, September 2004.
  5. An Approach for Automatic Data Virtualization.  L. Weng, G. Agrawal, U. Catalyurek, T. Kurc, S. Narayanan, and J. Saltz. Proceedings of the Thirteen IEEE International Symposium on High-Performance Distributed Computing (HPDC-13), June 2004.
  6. Strategies for Using Additional Resources in Parallel Hash-based Join Algorithms. X. Zhang, T. Kurc, T. Pan, U. Catalyurek, S. Narayanan, P. Wyckoff, and J. Saltz.Proceedings of the Thirteen IEEE International Symposium on High-Performance Distributed Computing (HPDC-13), June 2004.
  7. Application of Grid-enabled Technologies for Solving Optimization Problems in Data-Driven Reservoir Studies. M. Parashar, H. Klie, U. Catalyurek, T. Kurc, V. Matossian, J. Saltz and M Wheeler. Proceedings of the Workshop on Distributed Data Driven Applications and Systems, International Conference on Computational Science 2004 (ICCS 2004) , Krakow, Poland, June 2004.
  8. Serving Queries to Multi-Resolution Datasets on Disk-based Storage Cluster. X. Zhang, T. Pan, U. Catalyurek, T. Kurc and J. Saltz. Proceedings of the 4th IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGRID 2004), April 2004.

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2003:

  1. The Virtual Microscope. U. Catalyurek, M. D. Beynon, C. Chang, T. Kurc, A. Sussman, and J. Saltz. IEEE Transactions on Information Technology in Biomedicine, Vol. 7, No. 4, pp. 230-248, 2003.Database Support for
  2. Data-driven Scientific Applications in the Grid. S. Narayanan, T. Kurc, U. Catalyurek, J. Saltz. Parallel Processing Letters, Vol. 13, No. 2, pp. 245-271, 2003.
  3. Optimizing Reduction Computations In a Distributed Environment. T. Kurc, F. Lee, G. Agrawal, U. Catalyurek, R. Ferreira and J. Saltz. ACM Press. Proceedings of the 2003 ACM/IEEE SC2003 Conference, Phoenix, AZ, November 2003.
  4. Applying Database Support for Large Scale Data Driven Science in Distributed Environments. S. Narayanan, U. Catalyurek, T. Kurc, X. Zhang and J. Saltz. Proceedings of the Fourth International Workshop on Grid Computing (Grid 2003), pp. 141-148, 2003.
  5. Impact of High Performance Sockets on Data Intensive Applications. P. Balaji, J. Wu, T. Kurc, U. Catalyurek, D. K. Panda, J. Saltz. Proceedings of the Twelfth IEEE International Symposium on High-Performance Distributed Computing (HPDC-12), June 2003.
  6. Driving Scientific Applications by Data in Distributed Environments. J. Saltz, U. Catalyurek, T. Kurc, M. Gray, S. Hastings,  S. Langella, S. Narayanan,  R. Martino, S. Bryant, M. Peszynska, M. Wheeler, A. Sussman,  M. Beynon, C. Hansen, D. Stredney, and D. Sessanna. Workshop on Dynamic Data-Driven Application Systems
    ICCS 2003, Melbourne, Australia, June 2003.
  7. Image Processing for the Grid: A Toolkit for Building Grid-enabled Image Processing Applications. S. Hastings, T. Kurc, S. Langella, U. Catalyurek, T. Pan, and J. Saltz. The 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGRID 2003), 2003.
  8. A Distributed Execution Environment for Analysis of DCE-MR Image Datasets. T. Kurc, S. Hastings,  U. Catalyurek, J. Saltz, J. D. Fleig, B. D. Clymer, H. von Tengg-Kobligk, K. T. Baudendistel, R. Machiraju, and M. V. Knopp. The Society for Computer Applications in Radiology (SCAR 2003). 2003.
  9. A Component-based Implementation of Multiple Sequence Alignment. U. Catalyurek, M. Gray, T. Kurc, J. Saltz, E. Stahlberg, and R. Ferreira. 18th ACM Symposium on Applied Computing (SAC2003) Bioinformatics Track, Melbourne, FL, March 2003.

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2002:

  1. Processing large-scale multidimensional data in parallel and distributed environments. M. Beynon, C. Chang, U. Catalyurek, T. Kurc, A. Sussman, H. Andrade, R. Ferreira, and J. Saltz. Parallel Computing, Vol. 28, No. 5, pp. 827-859, Special issue on Data Intensive Computing, May 2002.
  2. Executing Multiple Pipelined Data Analysis Operations in the Grid. M. Spencer, R. Ferreira, M. D. Beynon, T. Kurc, U. Catalyurek, A. Sussman, and J. Saltz. ACM Press. Proceedings of the 2002 ACM/IEEE SC2002 Conference, Baltimore, MD, November 2002.
  3. Efficient manipulation of large datasets on heterogeneous storage systems. M. D. Beynon, T. Kurc, U. Catalyurek, A. Sussman, and J. Saltz. Proceedings of 16th International Parallel and Distributed Processing Symposium (IPDPS), The 11th Heterogeneous Computing Workshop (HCW 2002), Fort Lauderdale, Florida, April 2002.
  4. Improving performance of multiple sequence alignment analysis in multi-client environments. U. Catalyurek, E. Stahlberg, R. Ferreira, T. Kurc, and J. Saltz. Proceedings of 16th International Parallel and Distributed Processing Symposium (IPDPS), First Workshop on High Performance Computational Biology, Fort Lauderdale, Florida, April 2002.
  5. Persistent Caching in a Multiple Query Optimization Framework. H. Andrade, T. Kurc, U. Catalyurek, A. Sussman, and J. Saltz. Proceedings of the Sixth Workshop on Languages, Compilers and Run-time Systems for Scalable Computers, March 2002. Springer-Verlag.

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2001:

  1. Distributed Processing of Very Large Datasets with DataCutter. M. D. Beynon, T. Kurc, U. Catalyurek, C. Chang, A. Sussman, and J. Saltz. Parallel Computing, Vol. 27, No. 11, pp. 1457-1478, October 2001.
  2. Exploration and Visualization of Very Large Datasets with the Active Data Repository. T. Kurc, U. Catalyurek, C. Chang, A. Sussman, and J. Saltz. IEEE Computer Graphics & Applications, Vol. 21, No. 4, pp. 24–33, July/August, 2001.
  3. A Hypergraph-partitioning Approach for Coarse-Grain Decomposition. U. Catalyurek and C. Aykanat. Proceedings of the 2001 ACM/IEEE SC2001, Denver, CO, November 2001.
  4. Performance Optimization for Data Intensive Grid Applications. M. D. Beynon, A. Sussman, U. Catalyurek, T. Kurc, and J. Saltz. The Third Annual International Workshop on Active Middleware Services (AMS2001), August 2001.
  5. A Fine-Grain Hypergraph Model for 2D Decomposition of Sparse Matrices. U. Catalyurek and C. Aykanat. Proceedings of International Parallel and Distributed Processing Symposium (IPDPS), 8th International Workshop on Solving Irregularly structured Problems in Parallel (Irregular 2001), San Francisco, April 2001.
  6. A Hypergraph-Based Workload Partitioning Strategy for Parallel Data Aggregatiion. C. Chang, T. Kurc, A. Sussman, U. Catalyurek, and J. Saltz. Tenth SIAM Conference on Parallel Processing for Scientific Computing, Portsmouth, Virginia, March 2001.

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2000 and earlier:

  1. Hypergraph-Partitioning Based Decomposition for Parallel Sparse-Matrix Vector Multiplication. U. Catalyurek and C. Aykanat. IEEE Transaction on Parallel and Distributed Systems, Vol. 10, No. 7, pp. 673-693, 1999.
  2. Decomposing irregularly sparse matrices for parallel matrix-vector multiplications. U. Catalyurek and C. Aykanat. Lecture Notes in Computer Science, vol. 1117, pp. 75-86, 1996.
  3. Decomposing linear programs for parallel solution. A. Pinar, U. Catalyurek, C. Aykanat, and M. Pinar. Lecture Notes in Computer Science, vol. 1041, pp. 473-482, 1996.
  4. A hypergraph model for mapping repeated sparse matrix-vector product computations onto multicomputers. U. V. Catalyurek and C. Aykanat. Proceedings of International Conference on High Performance Computing, HiPC ’95, Goa, India, December 1995.

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©2006 Umit Catalyurek. Last Update: July 20th, 2006