Sanjukta Bhowmick, PhD

  • 307 Citations
  • 10 h-Index
20022020

Research output per year

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2019

An Empirical Study of the Effect of Noise Models on Centrality Metrics

Sarkar, S., Karn, A., Mukherjee, A. & Bhowmick, S., 2019, Springer Proceedings in Complexity. Springer, p. 3-21 19 p. (Springer Proceedings in Complexity).

Research output: Chapter in Book/Report/Conference proceedingChapter

2013

A template for parallelizing the louvain method for modularity maximization

Bhowmick, S. & Srinivasan, S., 2013, Modeling and Simulation in Science, Engineering and Technology. Springer Basel, p. 111-124 14 p. (Modeling and Simulation in Science, Engineering and Technology; vol. 55).

Research output: Chapter in Book/Report/Conference proceedingChapter

8 Scopus citations

Improving classifications through graph embeddings

Chatterjee, A., Bhowmick, S. & Raghavan, P., Jan 1 2013, Graph Embedding for Pattern Analysis. Springer New York, p. 119-138 20 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

2010

Application of alternating decision trees in selecting sparse linear solvers

Bhowmick, S., Eijkhout, V., Freund, Y., Fuentes, E. & Keyes, D., 2010, Software Automatic Tuning: From Concepts to State-of-the-Art Results. Springer New York, p. 153-173 21 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

7 Scopus citations
2006

Parallel adaptive solvers in compressible petsc-fun3d simulations

Bhowmick, S., Kaushik, D., McInnes, L., Norris, B. & Raghavan, P., 2006, Parallel Computational Fluid Dynamics 2005. Elsevier, p. 277-284 8 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

5 Scopus citations
2003

Adaptive sparse linear solvers for implicit CFD using Newton-Krylov algorithms

McInnes, L., Norris, B., Bhowmick, S. & Raghavan, P., Jun 2 2003, Computational Fluid and Solid Mechanics 2003. Elsevier Inc., p. 1024-1028 5 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

11 Scopus citations

The role of multi-method linear solvers in PDE-based simulations

Bhowmick, S., McInnes, L., Norris, B. & Raghavan, P., 2003, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Kumar, V., Gavrilova, M. L., Tan, C. J. K., L’Ecuyer, P. & Tan, C. J. K. (eds.). Springer Verlag, p. 828-839 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 2667).

Research output: Chapter in Book/Report/Conference proceedingChapter