Journal Papers

  1. Prakash Murali, Sathish Vadhiyar. Metascheduling of HPC Jobs in Day-Ahead Electricity Markets. IEEE Transactions on Parallel and Distributed Systems. Volume 29(3), March 2018. pdf
  2. Amlesh Kashyap, Sathish S. Vadhiyar, Ravi S. Nanjundiah, P. N. Vinayachandran. Asynchronous and Synchronous Models of Executions on Intel Xeon Phi Coprocessor Systems for High Performance of Long Wave Radiation Calculations in Atmosphere Models. Journal of Parallel and Distributed Computing, Vol 102, pages 199-212, 2017. pdf
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. Yadnyesh Joshi and Sathish Vadhiyar. Analysis of DNA Sequence Transformations on GridsJournal of Parallel and Distributed Computing, Vol 69/1, pp 80-90, 2009pdf
  14. 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
  15. 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. Srinivasan Ramesh, Sathish Vadhiyar, P. N. Vinayachandran, Ravi S. Nanjundiah. Deep and Shallow Convection Calculations in Atmosphere Models on Intel Xeon Phi Coprocessor Systems. In the proceedings of the High Performance Computing Commmunications (HPCC), December 2017, Bangkok, Thailand. Acceptance Rate: 36% pdf
  2. Vineetha Kondameedi, Sathish Vadhiyar. Adaptive Hybrid Queue Configuration for Supercomputer Systems. In the proceedings of the 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), May 2017, Madrid, Spain. Acceptance Rate: 23%. pdf
  3. T. M. Aketh, Sathish Vadhiyar, P. N. Vinayachandran, Ravi S. Nanjundiah. High Performance Horizontal Diffusion Calculations in Ocean Models on Intel Xeon Phi Coprocessor Systems. In the proceedings of the International Conference on High Performance Computing (HiPC), December 2016, Hyderabad, India. Acceptance Rate: 25%. pdf
  4. 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%. pdf
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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. Surendra Varma Pericherla, Sathish Vadhiyar. High Performance and Enhanced Scalability for Parallel Applications using MPI-3′s non-blocking Collectives. In the proceedings of the International Conference on Computational Science (ICCS), Zurich, Switzerland, 2017. pdf
  2. Rajath Prasad, Sathish Vadhiyar. Scheduling Strategies for Multi-Physics Applications. Student Research Symposium poster, International Conference on High Performance Computing (HiPC), Bangalore, India, 2011pdf
  3. 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
  4. Rajath Prasad, Sathish Vadhiyar. Scheduling Strategies for Multi-Physics Applications. Poster. IBM I-CARE, 2011. pdf
  5. Archana Venkatesh, Sathish Vadhiyar. Asynchronous Parallelism for Molecular Dynamics on GPU cores. Poster. IBM I-CARE, 2011. pdf
  6. 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
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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. Ananya Raval, Rupesh Nasre, Vivek Kumar, R. Vasudevan, Sathish Vadhiyar, Keshav Pingali: Dynamic Load Balancing Strategies for Graph Applications on GPUs. CoRR abs/1711.00231 (2017) pdf
  2. K. Raghavendra, Sathish S. Vadhiyar: Determination of Checkpointing Intervals for Malleable Applications. CoRR abs/1711.00270 (2017) pdf
  3. Srinivasan Ramesh, Sathish Vadhiyar, Ravi S. Nanjundiah, P. N. Vinayachandran: Deep and Shallow convections in Atmosphere Models on Intel Xeon Phi Coprocessor Systems. CoRR abs/1711.00289 (2017) pdf
  4. Prakash Murali, Sathish Vadhiyar: Metascheduling of HPC Jobs in Day-Ahead Electricity Markets. CoRR abs/1712.10201 2017. pdf
  5. 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
  6. Surabhi Deshpande. Towards Predictions of Parallel Application Performance for Production Supercomputers. Internship Report IR-GARL-SERC-IISC-2-2011. pdf
  7. K. Raghavendra, Sathish Vadhiyar. Determination of Checkpointing Intervals for Malleable Applications. Technical Report TR-GARL-SERC-IISC-1-2009. pdf
  8. Roshan Sumbaly. Predicting Queue Wait Times in Batch-scheduled Machines. Internship Report IR-GARL-SERC-IISC-1-2007. pdf

Theses and Project Reports

  1. Rintu Panja. A Divide and Conquer Framework For Graph Processing in Distributed Heterogeneous Systems.MSc(Engg.) Thesis, 2018. pdf
  2. Siddhant Panda. CPU-GPU hybrid implementation for diameter finding of large graphs.MTech Thesis, 2018. pdf
  3. Iresh Agrawal. A Fine-Grained Hybrid CPU-GPU Algorithm for Betweenness Centrality Computations on Scale-free Networks. MTech Thesis, 2018. pdf
  4. Abhishek Upperwal. EntangledMPI: MPI framework for Fault Tolerance using ULFM, Adaptive Process Replication and Checkpointing. MTech Thesis, 2018. pdf
  5. Ponnezhil Dass. Finding k-core Decomposition of a Graph in Hybrid Systems.MTech Thesis, 2017. pdf
  6. Ashirbad Mishra. Efficient Betweenness Centrality Computations on Hybrid CPU-GPU Systems. M.Sc(Engg.) Thesis, 2016. pdf
  7. Vineetha Kondameedi. Dynamic Hybrid Partitioned-Nonpartitioned Queue Configurations based on Workloads in Supercomputer Systems. MTech Thesis, 2016. pdf
  8. Sabyasachi Sahoo. Hierarchical Task Mapping on Dragonfly Topology for Scaling Molecular Dynamics. MTech Thesis, 2016. pdf
  9. Prakash Murali. Metascheduling of HPC Jobs in Day-Ahead Electricity Markets. M.Sc(Engg.) Thesis, 2015. pdf
  10. R Vasudevan. A Runtime Framework for Regular and Irregular Message-Driven Parallel Applications on GPU Systems. MSc(Engg.) Thesis, 2014. pdf
  11. Sai Kiran Korwar. GPU-enabled Ecient Executions of Radiation Calculations in Climate Modelling. MTech Project Report, 2013. pdf
  12. Vivek K. Load Balancing and Dynamic Parallelism for Static and Morph Graph Algorithms. MTech Project Report, 2013. pdf
  13. Rajath Kumar. Prediction of Queue Waiting Times for Metascheduling on Parallel Batch Systems. M.Sc(Engg.) Thesis, 2013. pdf
  14. Cijo George. Adaptive Fault Tolerance Strategies for Large Scale Systems. M.Sc(Engg.) Thesis, 2013. pdf
  15. Hari Raghavan. Efficient Execution of AMR Computations on GPU Systems. M.Sc(Engg.) Thesis, 2013. pdf
  16. Sharat Chandra Racha. Load Balancing Map-Reduce Communications for Efficient Executions of Applications in a Cloud. MTech Project Report, 2012. pdf
  17. Santanu T. Optimising Cosmological N-body Simulations in GPU Clusters. MTech Project Report, 2012. pdf
  18. Gowthami Manogna Gottipati. Predicting Runtimes for Production Parallel Jobs. MTech Project Report, 2012. pdf
  19. Sivagama Sundari M. Long-running Multi-component Climate Applications on Grids. Ph.D Thesis, 2011. pdf
  20. J. Sivabhavani. Automated Checkpointing for Malleable Parallel Applications. M.E Project Report. 2010. pdf
  21. Jitender Singh. Checkpoint Interval Selection in Malleable Parallel Applications for Fault Tolerance. M.Tech Project Report. 2010. pdf
  22. Priyank Raj Khatariya. Phylogenetic Predictions on Grids. M.Tech Project Report, 2009. pdf
  23. H. A. Sanjay. Performance Modeling Based Scheduling and Rescheduling of Parallel Applications on Computational Grids. Ph.D Thesis, 2009. pdf
  24. R. Karthikeyan. A Multi-Stage Linear Regression Strategy for Determining Rmax of a TOP500 System. M.Tech Project Report, 2008. pdf
  25. Yadnyesh Joshi. Analysis and Predictions of DNA Sequence Transformations on Grids. M.Sc (Engg.) Thesis, 2007. pdf
  26. Rakhi Gupta. One to Many and Many to Many Collective Communication Operations on Grids. M.Sc (Engg.) Thesis, 2006. pdf
  27. 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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