Sivarama Dandamudi
Affiliations: | Carleton University, Ottawa, Canada |
Area:
Computer ScienceGoogle:
"Sivarama Dandamudi"
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Publications
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| Imasaki K, Dandamudi S. (2005) A new join algorithm for cluster-based database systems Ispdc 2005: 4th International Symposium On Parallel and Distributed Computing. 2005: 267-274 |
| Soleimany C, Dandamudi SP. (2003) Performance of a distributed architecture for query processing on workstation clusters Future Generation Computer Systems. 19: 463-478 |
| Imasaki K, Dandamudi S. (2002) An adaptive hash join algorithm on a network of workstations Proceedings - International Parallel and Distributed Processing Symposium, Ipdps 2002. 132-139 |
| Imasaki K, Nguyen H, Dandamudi SP. (2002) Performance comparison of pipelined hash joins on workstation clusters Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2552: 264-275 |
| Thanalapati T, Dandamudi S. (2001) An efficient adaptive scheduling scheme for distributed memory multicomputers Ieee Transactions On Parallel and Distributed Systems. 12: 758-768 |
| Abawajy JH, Dandamudi SP. (2000) Time/space sharing distributed job scheduling policy in a workstation cluster environment Proceedings - International Conference On Parallel Computing in Electrical Engineering, Parelec 2000. 116-120 |
| Clarke S, Dandamudi SP. (1999) Usefulness of adaptive load sharing for parallel processing on networks of workstations Concurrency Practice and Experience. 11: 387-405 |
| Zeng S, Dandamudi SP. (1999) Centralized architecture for parallel query processing on networks of workstations Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1593: 683-692 |
| Dandamudi SP. (1991) Performance analysis of a class of hierarchical hypercube multicomputer networks Performance Evaluation. 13: 159-179 |
| Dandamudi S, Au SL. (1991) Locking granularity in multiprocessor database systems Proceedings - International Conference On Data Engineering. 268-277 |