Publications

Journal Papers

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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, 2011pdf
  7. Sivagama Sundari M., Sathish Vadhiyar, Ravi Nanjundiah. Grids with Multiple Batch Systems for Performance Enhancement of Multi-Component and Parameter Sweep Parallel ApplicationsFuture Generation Computer Systems, Vol 26/2, pp 217-227, 2010pdf
  8. H.A. Sanjay and Sathish Vadhiyar. A Strategy for Scheduling Tightly-Coupled Parallel Applications on ClustersConcurrency and Computation: Practice & Experience, Vol 21/18, pp 2491-2517, 2009pdf
  9. Sivagama Sundari M., Sathish Vadhiyar, Ravi Nanjundiah. Dynamic Component Extension: a Strategy for Performance Improvement in Multicomponent ApplicationsInternational Journal of High Performance Computing Applications, Vol 23/1 pp 84-98, 2009pdf
  10. Yadnyesh Joshi and Sathish Vadhiyar. Analysis of DNA Sequence Transformations on GridsJournal of Parallel and Distributed Computing, Vol 69/1, pp 80-90, 2009pdf
  11. H.A.Sanjay and Sathish Vadhiyar. Performance Modeling of Parallel Applications for Grid SchedulingJournal of Parallel and Distributed Computing, Vol 68/8, pp 1135-1145, 2008pdf
  12. Sandip Tikar and Sathish Vadhiyar. Efficient Reuse of Replicated Parallel Data Segments in Computational GridsFuture Generation Computer Systems, Vol 24/7, pp 644-657, 2008pdf

Conference Papers

  1. 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
  2. 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
  3. Anurag Murty, Vijay Natarajan, Sathish Vadhiyar. Efficient Homology Computations on Multicore and Manycore Systems. In the proceedings of International Conference on High Performance Computing (HiPC), December 2013, Bangalore, India. Acceptance Rate: 25%. pdf
  4. Sai Kiran Korwar, Sathish Vadhiyar, Ravi Nanjundiah. GPU-enabled Efficient Executions of Radiation Calculations in Climate Modeling. In the proceedings of International Conference on High Performance Computing (HiPC), December 2013, Bangalore, India. Acceptance Rate: 25%. pdf
  5. 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
  6. 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
  7. 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
  8. 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), June 2012, Omaha, Nebraska, USA, pp 166-175. pdf
  9. Rajath Kumar, Sathish Vadhiyar. Identifying Quick Starters: Towards an Integrated Framework for Efficient Predictions of Queue Waiting Times of Batch Parallel Jobs. In the Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP), May 2012, Shanghai, China. pdf
  10. 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), June 2011, Singapore, pp 116-125. Acceptance Rate: 28%. pdf
  11. Preeti Malakar, Vijay Natarajan, Sathish Vadhiyar. An Adaptive Framework for Simulation and Online Remote Visualization of Critical Climate Applications in Resource-constrained Environments. In the proceedings of IEEE/ACM Supercomputing conference, SC 2010, November 2010, New Orleans, USA. Acceptance Rate: 20.2%. pdf
  12. 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
  13. 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
  14. 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
  15. 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

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, 2011pdf
  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), Portland, Oregon, USA, 2009.
  9. Preeti Malakar, Vijay Natarajan, Sathish Vadhiyar and Ravi Nanjundiah. An Integrated Simulation and Visualization Framework for Tracking Cyclone Aila. Student poster in ATIP First Workshop on HPC in India: Indigenous Hardware, Software, and Infrastructure Research, held in conjunction with IEEE/ACM Supercomputing (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 GridsInternational 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 and Internship Reports

  1. Prakash Murali, Sathish Vadhiyar. An Adaptive Framework for Prediction of Queue Waiting Times in Supercomputer Systems. Technical Report TR-MARS-SERC-IISC-3-2014. pdf
  2. Surabhi Deshpande. Towards Predictions of Parallel Application Performance for Production Supercomputers. Internship Report IR-GARL-SERC-IISC-2-2011. pdf
  3. K. Raghavendra, Sathish Vadhiyar. Determination of Checkpointing Intervals for Malleable Applications. Technical Report TR-GARL-SERC-IISC-1-2009. pdf
  4. Roshan Sumbaly. Predicting Queue Wait Times in Batch-scheduled Machines. Internship Report IR-GARL-SERC-IISC-1-2007. pdf

Theses and Project Reports

  1. Prakash Murali. Metascheduling of HPC Jobs in Day-Ahead Electricity Markets. M.Sc(Engg.) Thesis, 2015. pdf
  2. R Vasudevan. A Runtime Framework for Regular and Irregular Message-Driven Parallel Applications on GPU Systems. MSc(Engg.) Thesis, 2014. pdf
  3. Sai Kiran Korwar. GPU-enabled Ecient Executions of Radiation Calculations in Climate Modelling. MTech Project Report, 2013. pdf
  4. Vivek K. Load Balancing and Dynamic Parallelism for Static and Morph Graph Algorithms. MTech Project Report, 2013. pdf
  5. Rajath Kumar. Prediction of Queue Waiting Times for Metascheduling on Parallel Batch Systems. M.Sc(Engg.) Thesis, 2013. pdf
  6. Cijo George. Adaptive Fault Tolerance Strategies for Large Scale Systems. M.Sc(Engg.) Thesis, 2013. pdf
  7. Hari Raghavan. Efficient Execution of AMR Computations on GPU Systems. M.Sc(Engg.) Thesis, 2013. pdf
  8. Sharat Chandra Racha. Load Balancing Map-Reduce Communications for Efficient Executions of Applications in a Cloud. MTech Project Report, 2012. pdf
  9. Santanu T. Optimising Cosmological N-body Simulations in GPU Clusters. MTech Project Report, 2012. pdf
  10. Gowthami Manogna Gottipati. Predicting Runtimes for Production Parallel Jobs. MTech Project Report, 2012. pdf
  11. Sivagama Sundari M. Long-running Multi-component Climate Applications on Grids. Ph.D Thesis, 2011. pdf
  12. J. Sivabhavani. Automated Checkpointing for Malleable Parallel Applications. M.E Project Report. 2010. pdf
  13. Jitender Singh. Checkpoint Interval Selection in Malleable Parallel Applications for Fault Tolerance. M.Tech Project Report. 2010. pdf
  14. Priyank Raj Khatariya. Phylogenetic Predictions on Grids. M.Tech Project Report, 2009. pdf
  15. H. A. Sanjay. Performance Modeling Based Scheduling and Rescheduling of Parallel Applications on Computational Grids. Ph.D Thesis, 2009. pdf
  16. R. Karthikeyan. A Multi-Stage Linear Regression Strategy for Determining Rmax of a TOP500 System. M.Tech Project Report, 2008. pdf
  17. Yadnyesh Joshi. Analysis and Predictions of DNA Sequence Transformations on Grids. M.Sc (Engg.) Thesis, 2007. pdf
  18. Rakhi Gupta. One to Many and Many to Many Collective Communication Operations on Grids. M.Sc (Engg.) Thesis, 2006. pdf
  19. Sandip Tikar. GrADSolve: An Architecture for Management of Data and Computation for Parallel Applications in Computational Grids. M.Sc (Engg.) Thesis, 2006. pdf

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