Data-driven, data-intensive computing for modelling and analysis of biological networks: Application to bioethanol production

Journal of Physics: Conference Series

Volumn 78, Issue 1, 2007, Pages

  Park, Byung Hoon ^a   Samatova, Nagiza F ^a   Karpinets, Tatiana ^a   Jallouk, Andrew ^a   Molony, Scott ^a   Horton, Scott ^a   Arcangeli, Steven ^a  

^a OAK RIDGE NATIONAL LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 36049039788     PISSN: 17426588     EISSN: 17426596     Source Type: Conference Proceeding    
DOI: 10.1088/1742-6596/78/1/012061     Document Type: Article

References (6)

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3. Zhang Y, et al 2005 Genome-Scale Computational Approaches to Memory-Intensive Applications in Systems Biology Proceedings of the 2005 ACM/IEEE conference on Super computing, IEEE Comput. Society
4. Umut A A, E B Guy and D B Robert 2000 The data locality of work stealing Proc. twelfth annual ACM symposium on Parallel algorithms and architectures (ACM Press: Bar Harbor, Maine, United States)
5. Joxan J, et al 2004 Scalable Distributed Depth-First Search with Greedy Work Stealing Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'04) - Volume 00, IEEE Comput. Society
6. Vipin K, Y G Ananth and V Nageshwara Rao 1994 Scalable load balancing techniques for parallel computers J. Parallel Distrib. Comput. 22 (1) 60-79