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  Statistics: (Updated on January 2, 2015)
  • h-index (from Google Scholar): 16
  • i10-index (from Google Scholar): 23
  • d-index (Depression index. Since 2003):
    • Total submissions: 88. Total accepted: 29.
    • My d-index = (88-29)/88 = 67.05%
  • dtd-index (Down-the-Drain index.  Since 2003):
    • Papers that never saw the light due to getting reject(s) and giving up.
    • My dtd-index: 3

Journals

  1. Prakash Murali, Sathish Vadhiyar. Qespera: An Adaptive Framework for Prediction of Queue Waiting Times in Supercomputer Systems. Concurrency and Computation: Practice and Experience, Vol 28/9, pp 2685-2710, June 2016. pdf

  2. Cijo George, Sathish Vadhiyar. Fault Tolerance on Large Scale Systems using Adaptive Process Replication. IEEE Transactions on Computers, Vol 64/8, pp 2213-2225, August 2015. pdf

  3. Hari Raghavan, Sathish Vadhiyar. Adaptive Executions of Hyperbolic Block-Structured AMR Applications on GPU Systems. International Journal of High Performance Computing Applications (IJHPCA), Vol 29/2, pp 135-153, 2015. pdf

  4. Hari Raghavan, Sathish Vadhiyar. Efficient Asynchronous Executions of AMR Computations and Visualization on a GPU System. Journal of Parallel and Distributed Computing (JPDC), Vol 73/6, pp 866-875, 2013. pdf

  5. Sivagama Sundari M., Sathish Vadhiyar, Ravi Nanjundiah. Large Improvements in Application Throughput of Long-running Multi-Component Applications using Batch Grids. Concurrency and Computation: Practice & Experience, Vol 24/15, pp 1775-1791, 2012. pdf

  6. Sivagama Sundari M., Sathish Vadhiyar, Ravi Nanjundiah. Adaptive Executions of Multi-Physics Coupled Applications on Grids. Journal of Grid Computing, Vol 9/4, pp 455-478, 2011. pdf

  7. H.A. Sanjay and Sathish Vadhiyar. Strategies for Rescheduling Tightly-Coupled Parallel Applications in Multi-Cluster Grids. Journal of Grid Computing, Vol 9/3, pp 379-403, 2011. pdf

  8. Sivagama Sundari M., Sathish Vadhiyar, Ravi Nanjundiah. Grids with Multiple Batch Systems for Performance Enhancement of Multi-Component and Parameter Sweep Parallel Applications. Future Generation Computer Systems, Vol 26/2, pp 217-227, 2010. pdf

  9. H.A. Sanjay and Sathish Vadhiyar. A Strategy for Scheduling Tightly-Coupled Parallel Applications on Clusters. Concurrency and Computation: Practice & Experience, Vol 21/18, pp 2491-2517, 2009. pdf

  10. Sivagama Sundari M., Sathish Vadhiyar, Ravi Nanjundiah. Dynamic Component Extension: a Strategy for Performance Improvement in Multicomponent Applications. International Journal of High Performance Computing Applications, Vol 23/1 pp 84-98, 2009. pdf

  11. Yadnyesh Joshi and Sathish Vadhiyar. Analysis of DNA Sequence Transformations on Grids. Journal of Parallel and Distributed Computing, Vol 69/1, pp 80-90, 2009. pdf

  12. H.A.Sanjay and Sathish Vadhiyar. Performance Modeling of Parallel Applications for Grid Scheduling. Journal of Parallel and Distributed Computing, Vol 68/8, pp 1135-1145, 2008. pdf

  13. Sandip Tikar and Sathish Vadhiyar. Efficient Reuse of Replicated Parallel Data Segments in Computational Grids. Future Generation Computer Systems, Vol 24/7, pp 644-657, 2008. pdf

  14. J. Dongarra, G. Bosilca, Z. Chen, V. Eijkhout, G. E. Fagg, E. Fuentes, J. Langou, P. Luszczek, J. Pjesivac-Grbovic, K. Seymour, H. You, and S. S. Vadhiyar. Self-adapting numerical software (SANS) effort. IBM Journal of System Research and Development. Exploratory Systems Research. Volume 50, Number 2/3,  pp. 223-238,   2006. pdf

  15. Vadhiyar, S. and Dongarra, J. Self adaptivity in Grid computing. Concurrency and Computation: Practice and Experience. Volume 17, Issue 2-4,  pp. 235-257,  Special Issue: Grid Performance. Issue Edited by John Gurd, Tony Hey, Juri Papay, Graham Riley. Copyright © 2005 John Wiley & Sons, Ltd. Feb 7, 2005. pdf

  16. Vadhiyar, S. and Dongarra, J. GrADSolve - A Grid-based RPC system for Parallel Computing with Application-level Scheduling. Journal of Parallel and Distributed Computing, Volume 64, pp. 774-783, 2004. pdf

  17. Vadhiyar, S., Fagg, G. and Dongarra, J. Toward an Accurate Model for Collective Communications. International Journal of High Performance Computing Applications, Volume 18, Number 1, pp 159-166, ISSN 1094-3420, Spring 2004. (Note: Due to some communication lapse beyond control, the final version that appears in the journal is not the version we sent to the publishers after significant paper modifications and enhancements taking into account reviewers' comments and suggestions. Please see the Technical Reports section below for the enhanced version.)

  18. Vadhiyar, S. and Dongarra, J. SRS - A Framework for Developing Malleable and Migratable Parallel Applications for Distributed Systems. Parallel Processing Letters, Vol. 13, number 2, pp. 291-312, June 2003. pdf

  19. M. Beck, D. Arnold, A. Bassi, F. Berman, H. Casanova, J. Dongarra, T. Moore, G. Obertelli, J. Plank, M. Swany, S. Vadhiyar, R. Wolski. Middleware for the use of Storage in Communication. Parallel Computing, Volume 28 , Issue 12, pages 1773 - 1787, 2002.

  20. Petitet, A., Blackford, S., Dongarra, J., Ellis, B., Fagg, G., Roche, K., Vadhiyar, S. Numerical Libraries and The Grid: The Grads Experiments with ScaLAPACK. International Journal of High Performance Computing Applications, Vol. 15, number 4, pages 359-374, Winter 2001. pdf

Conferences and Workshops

  1. Prakash Murali, Sathish Vadhiyar. Metascheduling of HPC Jobs in Day-Ahead Electricity Markets. In the proceedings of the International Conference on High Performance Computing (HiPC), December 2015, Bangalore, India. Acceptance Rate: 24%.

  2. Anirudh Jayakumar, Prakash Murali, Sathish Vadhiyar. Matching Application Signatures for Performance Predictions using a Single Execution. In the proceedings of the IEEE International Parallel and Distributed Processing Symposium (IPDPS), May 2015, Hyderabad, India. Acceptance Rate: 21.8%. pdf

  3. Rajath Kumar, Sathish Vadhiyar. Prediction of Queue Waiting Times for Metascheduling on Parallel Batch Systems. In the proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP), May 2014, Phoenix, USA, appeared in Lecture Notes in Computer Science (LNCS), Volume 8828, pages 108-128, 2015. pdf

  4. Anurag Murty, Vijay Natarajan, Sathish Vadhiyar. Efficient Homology Computations on Multicore and Manycore Systems. In the proceedings of the International Conference on High Performance Computing (HiPC), December 2013, Bangalore, India. Acceptance Rate: 25%. pdf [Note: My contributions to this paper is strange. Though I participated in discussions and perhaps contributed to parallelization aspects, I will not be able to say a line about the work, except perhaps the title.]

  5. Sai Kiran Korwar, Sathish Vadhiyar, Ravi Nanjundiah. GPU-enabled Efficient Executions of Radiation Calculations in Climate Modeling. In the proceedings of the International Conference on High Performance Computing (HiPC), December 2013, Bangalore, India. Acceptance Rate: 25%. pdf

  6. Preeti Malakar, Vijay Natarajan, Sathish Vadhiyar, Ravi Nanjundiah. A Diffusion-Based Processor Reallocation Strategy for Tracking Multiple Dynamically Varying Weather Phenomena. In the proceedings of the International Conference on Parallel Processing (ICPP), October 2013, Lyon, France. Acceptance Rate: 30.57%. pdf

  7. R. Vasudevan, Sathish Vadhiyar, Laxmikant Kale. G-Charm: An Adaptive Runtime System for Message-Driven Parallel Applications on Hybrid Systems. In the proceedings of International Conference on Supercomputing (ICS), pp 349-358, June 2013, Eugene, Oregon, USA. Acceptance Rate: 21%. pdf

  8. Preeti Malakar, Thomas George, Sameer Kumar, Rashmi Mittal, Vijay Natarajan, Yogish Sabharwal, Vaibhav Saxena, Sathish Vadhiyar. A Divide and Conquer Strategy for Scaling Weather Simulations with Multiple Regions of Interest. In the proceedings of IEEE/ACM Supercomputing conference, SC 2012, November 2012, Salt Lake City, Utah, USA. Acceptance Rate: 21%. Best student paper nominee. pdf [Note: My contributions were zero for this paper, though due to various reasons I allowed my name to be added]

  9. Cijo George, Sathish Vadhiyar. AdFT: An Adaptive Framework for Fault Tolerance on Large Scale Systems using Application Malleability. In the proceedings of International Conference on Computational Science (ICCS), pp 116-175, June 2012, Omaha, Nebraska, USA. pdf

  10. Rajath Kumar, Sathish Vadhiyar. Identifying Quick Starters: Towards an Integrated Framework for Efficient Predictions of Queue Waiting Times of Batch Parallel Jobs. In the proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP), May 2012, Shanghai, China, appeared in Lecture Notes in Computer Science (LNCS), Volume 7698, pages 196-215, 2013. pdf

  11. Preeti Malakar, Vijay Natarajan, Sathish Vadhiyar. InSt: An Integrated Steering Framework for Critical Weather Applications. In the proceedings of International Conference on Computational Science (ICCS), pp 116-125, June 2011, Singapore. Acceptance Rate: 28% pdf

  12. Preeti Malakar, Vijay Natarajan, Sathish Vadhiyar. An Adaptive Framework for Simulation and Online Remote Visualization of Critical Climate Applications in source-constrained Environments. In the proceedings of IEEE/ACM Supercomputing conference, SC 2010, November 2010, New Orleans, USA. Acceptance Rate: 20.2% pdf

  13. Priyank Raj Khatariya and Sathish Vadhiyar. Phylogenetic Predictions on Grids. In proceedings of the 5th IEEE International Conference of e-Science, pp 58-65, December 2009, Oxford, UK. Acceptance Rate: 28.7% pdf

  14. Rakhi Gupta and Sathish Vadhiyar. An Efficient MPI_Allgather for Grids. In proceedings of the ACM High Performance Distributed Computing (HPDC), pp 169-178, June 2007, Monterey, California, USA. Acceptance Rate: 20% pdf

  15. Jay Yagnik, H.A. Sanjay and Sathish Vadhiyar. Performance Modeling based on Multidimensional Surface Learning for Performance Predictions of Parallel Applications in Non-Dedicated Environments. In proceedings of 35th International Conference on Parallel Processing (ICPP), pp 513-520, August 2006, Columbus, Ohio, USA. Acceptance Rate: 32% pdf

  16. Rakhi Gupta and Sathish Vadhiyar. Application-Oriented Adaptive MPI_Bcast for Grids. In proceedings of 20th IEEE International Parallel & Distributed Processing Symposium (IPDPS). April 2006, Rhodes Island, Greece. Acceptance Rate: 23.5% pdf

  17. Vadhiyar, S., Dongarra, J. and Yarkhan, A. GrADSolve - RPC for High Performance Computing on the Grid. Euro-Par 2003, 9th International Euro-Par Conference, Proceedings, Springer, LCNS 2790, p. 394-403, August 26 -29, 2003. pdf

  18. Vadhiyar, S. and Dongarra, J. Performance Oriented Migration Framework for the Grid. Proceedings of The 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGrid 2003, pp 130-137, May 2003, Tokyo, Japan. pdf

  19. Vadhiyar, S. and Dongarra, J. Metascheduler for the Grid. Proceedings of the IEEE International Symposium on High Performance Distributed Computing (HPDC), pp 343-351, July 2002, Edinburgh, Scotland. pdf

  20. Kennedy, K., Mazina M., Mellor-Crummey, J., Cooper, K., Torczon L., Berman, F., Chien, A., Dail, H., Sievert, O., Angulo, D., Foster I., Gannon D., Johnsson, L., Kasselman, K., Aydt, R., Reed, D., Dongarra, J., Vadhiyar, S. and Wolski, R. Toward a Framework for Preparing and Executing Adaptive Grid Programs. Proceedings of NSF Next Generation Systems Program Workshop (International Parallel and Distributed Processing Symposium 2002), Fort auderdale, FL. pdf

  21. A. Petitet, S. Blackford, J. Dongarra, B. Ellis, G. Fagg, K. Roche and S. Vadhiyar. Numerical Libraries and The Grid: The GrADS Experiments with ScaLAPACK. Proceedings of Supercomputing 2001 (SC), Denver, Colorado, 2001.

  22. S. Vadhiyar, G. Fagg and J. Dongarra. Performance Modeling For Self Adapting Collective Communications for MPI. Proceedings of Los Alamos Computer Science Institute (LACSI) Symposium, Santa Fe, USA, October 2001

  23. Beck, M., Arnold, D., Bassi, A., Berman, F., Casanova, H., Dongarra, J., Moore, T., Obertelli, G., Plank, J., Swany, M., Vadhiyar, S., Wolski, R. Logistical Computing and Internetworking: Middleware for the Use of Storage in Communication. Third Annual International Workshop on Active Middleware Services (AMS), San Francisco, CA, August, 2001. pdf

  24. Vadhiyar, S., Fagg, G., Dongarra, J. Towards an Accurate Model for Collective Communications. Alexandrov, V., Dongarra, J., Juliano, B., Renner, R., Tan, K. (Eds.) In Proceedings of International Conference on Computational Science - ICCS 2001, San Francisco, CA. Lecture Notes in Computer Science, Vol. 2073 (Berlin: Springer Verlag), 2001: 41-50. pdf

  25. G. Fagg, S. Vadhiyar and J. Dongarra. ACCT: Automatic Collective Communications Tuning. Proceedings of the 7th European PVM/MPI Users' Group Meeting on Recent Advances in Parallel Virtual Machine and Message Passing Interface. Pages 354-362, Hungary, 2000.

  26. Sathish S. Vadhiyar, Graham E. Fagg, Jack Dongarra. Automatically Tuned Collective Communications. Proceedings of Supercomputing 2000, Dallas, TX. pdf

  27. Sathish S. Vadhiyar, Harold C. Grossman. Static assignment of multithreaded systems. ACM Southeast Regional Conference 1999.

Book Chapters

  1. Holly Dail, Otto Sievert, Fran Berman, Henri Casanova, Asim YarKhan, Sathish Vadhiyar, Jack Dongarra, Chuang Liu, Lingyun Yang, Dave Angulo, Ian Foster. Scheduling in the Grid Application Development Software Project. In Grid Resource Management: State of the art and future trends, Edited by Jarek Nabrzyski, Jennifer Schopf and Jan Weglarz,  Kluwer Academic Publisher, 2003, ISBN 1-4020-7575-8. pdf

  2. Sudesh Agrawal, Jack Dongarra, Keith Seymour, and Sathish Vadhiyar. NetSolve: Past, Present, and Future - a Look at a Grid Enabled Server. In Grid Computing: Making the Global Infrastructure a Reality, Edited by F. Berman, G. Fox, and A. Hey, Wiley Publisher, 2003, ISBN 0-470-85319-0. pdf 

Refereed Conference Short Papers and Posters

  1. Rajath Prasad, Sathish Vadhiyar. Scheduling Strategies for Multi-Physics Applications. Student Research Symposium poster, International Conference on High Performance Computing (HiPC), Bangalore, India, 2011. pdf

  2. Archana Venkatesh, Sathish Vadhiyar. Asynchronous Parallelism for Molecular Dynamics on GPU cores. Student Research Symposium poster, International Conference on High Performance Computing (HiPC), Bangalore, India, 2011. pdf

  3. Rajath Prasad, Sathish Vadhiyar. Scheduling Strategies for Multi-Physics Applications. Poster. IBM I-CARE, 2011. pdf

  4. Archana Venkatesh, Sathish Vadhiyar. Asynchronous Parallelism for Molecular Dynamics on GPU cores. Poster. IBM I-CARE, 2011. pdf

  5. Sivagama Sundari M., Sathish Vadhiyar, Ravi Nanjundiah. Morco: Middleware Framework for Long-running Multi-component Applications on Batch Grids. Short paper. In the proceedings of the ACM High Performance Distributed Computing (HPDC), pp 328-331, June 2010, Chicago, USA. pdf

  6. Sivagama Sundari M., Sathish Vadhiyar and Ravi Nanjundiah. Middleware for Long-running Applications on Batch Grids. Student Research Symposium poster, International Conference on High Performance Computing (HiPC), Kochi, India, 2009.

  7. Preeti Malakar, Vijay Natarajan, Sathish Vadhiyar and Ravi Nanjundiah. An Integrated Simulation and Visualization Framework for Tracking Cyclone Aila. Student Research Symposium poster, International Conference on High Performance Computing (HiPC), Kochi, India, 2009. Best paper award.

  8. Sivagama Sundari M., Sathish Vadhiyar and Ravi Nanjundiah. Middleware for Long-running Applications on Batch Grids. Student poster in ATIP First Workshop on HPC in India: Indigenous Hardware, Software, and Infrastructure Research, held in conjunction with IEEE/ACM Supercomputing (SC), ortland, Oregon, USA, 2009.

  9. Preeti Malakar, Vijay Natarajan, Sathish Vadhiyar and Ravi Nanjundiah. An Integrated Simulation and Visualization Framework for Tracking yclone Aila. Student poster in ATIP First Workshop on HPC in India: Indigenous Hardware, Software, and Infrastructure Research, held in conjunction with IEEE/ACM upercomputing (SC), Portland, Oregon, USA, 2009.

  10. Sivagama Sundari M., Sathish Vadhiyar, Ravi Nanjundiah. Executing Long-running Multi-component Applications on Batch Grids. Student Research Symposium. International Conference on High Performance Computing (HiPC), Bangalore, India, 2008.

  11. H. A. Sanjay and Sathish Vadhiyar. Performance Modeling Based Scheduling and Rescheduling of Parallel Applications on Computational Grids. International Conference on High Performance Computing (HiPC), Goa, India, December 2007.

  12. Sivagama Sundari M., Sathish Vadhiyar and Ravi Nanjundiah. Coupled Climate Models on Grids. International Conference on High Performance Computing (HiPC), Goa, India, December 2007.

Technical Reports

  1. Vadhiyar, S., Fagg, G. and Dongarra, J. Toward an Accurate Model for Collective Communications. Technical Report, Computer Science Department, University of Teneessee, ut-cs-05-550, 2004. pdf

  2. Typically a team of 8-10 including S Vadhiyar. User's guide to NetSolve, versions 1,1.4,1.4.1,2.0. Computer Science Department, University of Tennessee, Technical Reports.

PhD Thesis

Copyright © 2010 Sathish Vadhiyar