Research Publications -@ CSE-IITM

Publications by the members of CSE Department :

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FlexiGran: Flexible Granularity Locking in Hierarchies.

Anju Mongandampulath Akathoott, Rupesh Nasre
Appeared in Euro-Par 2024: Parallel Processing - 30th European Conference on Parallel and Distributed Processing, Madrid, Spain, August 26-30, 2024, Proceedings, Part I, Lecture Notes in Computer Science, Vol 14801, No., pp.3-17, Aug 2024.

Meerkat: A Framework for Dynamic Graph Algorithms on GPUs.

Kevin Jude Concessao, Unnikrishnan Cheramangalath, MJ Ricky Dev, Rupesh Nasre
Appeared in Int. J. Parallel Program., Vol 52, No., pp.400-453, 2024.

Reduce, Reuse, and Adapt: Accelerating Graph Processing on GPUs.

Ullas A, Rupesh Nasre, R. Govindarajan
Appeared in 30th IEEE International Conference on High Performance Computing, Data, and Analytics, HiPC 2023, Goa, India, December 18-21, 2023, pp.335-346, Dec 2023.

Effective Parallelization of the Vehicle Routing Problem.

Rajesh Pandian M, Somesh Singh, Rupesh Nasre, N.S. Narayanaswamy
Appeared in Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2023, Lisbon, Portugal, July 15-19, 2023 (GECCO 2023), pp.1036-1044, Jul 2023.

Single-linkage clustering of dynamic data.

Anju Mongandampulath Akathoott, Rupesh Nasre
Appeared in Concurr. Comput. Pract. Exp., Vol 35, 2023.

Multi-Interval DomLock: Toward Improving Concurrency in Hierarchies.

M. A. Anju, Rupesh Nasre
Appeared in ACM Trans. Parallel Comput., Vol 9, pp.12:1-12:27, 2022.

${{\sf Colosseum}}$Colosseum: Regression Test Prioritization by Delta Displacement in Test Coverage.

Shouvick Mondal, Rupesh Nasre
Appeared in IEEE Trans. Software Eng., Vol 48, pp.4060-4073, 2022.

Scaling the Maximum Flow Computation on GPUs.

Jash Khatri, Arihant Samar, Bikash Behera, Rupesh Nasre
Appeared in Int. J. Parallel Program., Vol 50, pp.515-561, 2022.

ParTBC: Faster Estimation of Top-kBetweenness Centrality Vertices on GPU.

Somesh Singh, Tejas Shah, Rupesh Nasre
Appeared in ACM Trans. Design Autom. Electr. Syst., Vol 27, pp.12:1-12:25, 2022.

Accelerating Computation of Steiner Trees on GPUs.

Rajesh Pandian Muniasamy, Rupesh Nasre, N.S. Narayanaswamy
Appeared in Int. J. Parallel Program., Vol 50, pp.152-185, 2022.

BOLD: an ontology-based log debugger for C programs.

Dileep Kumar Pattipati, Rupesh Nasre, P. Sreenivasa Kumar
Appeared in Autom. Softw. Eng., Vol 29, pp.2, 2022.

Summary of Hansie: Hybrid and consensus regression test prioritization.

Shouvick Mondal, Rupesh Nasre
Appeared in 14th IEEE Conference on Software Testing, Verification and Validation, ICST 2021, Porto de Galinhas, Brazil, April 12-16, 2021 (ICST 2021), pp.278-280, Apr 2021.

Efficient parallelization of SPH algorithm on modern multi-core CPUs and massively parallel GPUs.

Pravin Jagtap, Rupesh Nasre, V. S. Sanapala, B. S. V. Patnaik
Appeared in Int. J. Model. Simul. Sci. Comput., Vol 12, pp.2150054:1-2150054:27, 2021.

Hansie: Hybrid and consensus regression test prioritization.

Shouvick Mondal, Rupesh Nasre
Appeared in J. Syst. Softw., Vol 172, pp.110850, 2021.

A GPU Algorithm for Earliest Arrival Time Problem in Public Transport Networks.

Chirayu Anant Haryan, G. Ramakrishna, Rupesh Nasre, Allam Dinesh Reddy
Appeared in 27th IEEE International Conference on High Performance Computing, Data, and Analytics, HiPC 2020, Pune, India, December 16-19, 2020, pp.171-180, Dec 2020.

Graffix: Efficient Graph Processing with a Tinge of GPU-Specific Approximations.

Somesh Singh, Rupesh Nasre
Appeared in ICPP 2020: 49th International Conference on Parallel Processing, Edmonton, AB, Canada, August 17-20, 2020 (ICPP 2020), pp.23:1-23:11, Aug 2020.

Orion: time estimated causally consistent key-value store.

Diptanshu Kakwani, Rupesh Nasre
Appeared in 7th Workshop on Principles and Practice of Consistency for Distributed Data, PaPoC@EuroSys 2020, Heraklion, Greece, April 27, 2020, pp.3:1-3:6, Apr 2020.

Custom code generation for a graph DSL.

Bikash Gogoi, Unnikrishnan Cheramangalath, Rupesh Nasre
Appeared in GPGPU@PPoPP '20: 13th Annual Workshop on General Purpose Processing using Graphics Processing Unit colocated with 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, San Diego, California, USA, February 23, 2020, pp.51-60, Feb 2020.

OPAL: An extensible framework for ontology-based program analysis.

Dileep Kumar Pattipati, Rupesh Nasre, P. Sreenivasa Kumar
Appeared in Softw. Pract. Exp., Vol 50, pp.1425-1462, 2020.

Distributed Graph Analytics - Programming, Languages, and Their Compilation

Unnikrishnan Cheramangalath, Rupesh Nasre, Y. N. Srikant
Appeared in , pp.1-208, Jan 2020.

Toggle: Contention-Aware Task Scheduler for Concurrent Hierarchical Operations.

Saurabh Kalikar, Rupesh Nasre
Appeared in Euro-Par 2019: Parallel Processing - 25th International Conference on Parallel and Distributed Computing, Gttingen, Germany, August 26-30, 2019, Proceedings, Lecture Notes in Computer Science, Vol 11725, pp.142-155, Aug 2019.

QADroid: regression event selection for Android applications.

Aman Sharma, Rupesh Nasre
Appeared in Proceedings of the 28th ACM SIGSOFT International Symposium on Software Testing and Analysis, ISSTA 2019, Beijing, China, July 15-19, 2019. (ISSTA 2019), pp.66-77, Jul 2019.

Optimizing graph processing on GPUs using approximate computing: poster.

Somesh Singh, Rupesh Nasre
Appeared in Proceedings of the 24th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPoPP 2019, Washington, DC, USA, February 16-20, 2019, pp.395-396, Feb 2019.

Mahtab: Phase-wise acceleration of regression testing for C.

Shouvick Mondal, Rupesh Nasre
Appeared in Journal of Systems and Software, Vol 158, 2019.

A study on popular auto-parallelization frameworks.

S. Prema, Rupesh Nasre, R. Jehadeesan, B. K. Panigrahi
Appeared in Concurrency and Computation: Practice and Experience, Vol 31, 2019.

Effective Mapping of an SPH Algorithm on Massively Parallel GPU Architecture.

Pravin Jagtap, Rupesh Nasre, B. S. V. Patnaik
Appeared in 25th IEEE International Conference on High Performance Computing Workshops, HiPCW 2018, Bengaluru, India, December 17-20, 2018, pp.41-45, Dec 2018.

Multi-granularity Locking in Hierarchies with Synergistic Hierarchical and Fine-Grained Locks.

K. Ganesh, Saurabh Kalikar, Rupesh Nasre
Appeared in Euro-Par 2018: Parallel Processing - 24th International Conference on Parallel and Distributed Computing, Turin, Italy, August 27-31, 2018, Proceedings, Lecture Notes in Computer Science, Vol 11014, pp.546-559, Aug 2018.

NumLock: Towards Optimal Multi-Granularity Locking in Hierarchies.

Saurabh Kalikar, Rupesh Nasre
Appeared in Proceedings of the 47th International Conference on Parallel Processing, ICPP 2018, Eugene, OR, USA, August 13-16, 2018 (ICPP 2018), pp.75:1-75:10, Aug 2018.

Optimizing Graph Algorithms in Asymmetric Multicore Processors.

Jyothi Krishna V. S, Rupesh Nasre
Appeared in IEEE Trans. on CAD of Integrated Circuits and Systems, Vol 37, pp.2673-2684, 2018.

CHOAMP: Cost Based Hardware Optimization for Asymmetric Multicore Processors.

Jyothi Krishna Viswakaran Sreelatha, Shankar Balachandran, Rupesh Nasre
Appeared in IEEE Trans. Multi-Scale Computing Systems, Vol 4, pp.163-176, 2018.

Scalable and Performant Graph Processing on GPUs Using Approximate Computing.

Somesh Singh, Rupesh Nasre
Appeared in IEEE Trans. Multi-Scale Computing Systems, Vol 4, pp.190-203, 2018.

DCEIL: Distributed Community Detection with the CEIL Score.

Akash Jain, Rupesh Nasre, Balaraman Ravindran
Appeared in 19th IEEE International Conference on High Performance Computing and Communications; 15th IEEE International Conference on Smart City; 3rd IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2017, Bangkok, Thailand, December 18-20, 2017, pp.146-153, Dec 2017.

Fast Dynamic Graph Algorithms.

Gaurav Malhotra, Hitish Chappidi, Rupesh Nasre
Appeared in Languages and Compilers for Parallel Computing - 30th International Workshop, LCPC 2017, College Station, TX, USA, October 11-13, 2017, Revised Selected Papers (LCPC 2017), Lecture Notes in Computer Science, Vol 11403, pp.262-277, Oct 2017.

DH-Falcon: A Language for Large-Scale Graph Processing on Distributed Heterogeneous Systems.

Unnikrishnan Cheramangalath, Rupesh Nasre, Y. N. Srikant
Appeared in 2017 IEEE International Conference on Cluster Computing, CLUSTER 2017, Honolulu, HI, USA, September 5-8, 2017 (CLUSTER 2017), pp.439-450, Sep 2017.

DomLock: A New Multi-Granularity Locking Technique for Hierarchies.

Saurabh Kalikar, Rupesh Nasre
Appeared in TOPC, Vol 4, pp.7:1-7:29, 2017.

FastCollect: offloading generational garbage collection to integrated GPUs.

Prem Abhinav P, Rupesh Nasre
Appeared in 2016 International Conference on Compilers, Architectures and Synthesis for Embedded Systems, CASES 2016, Pittsburgh, Pennsylvania, USA, October 1-7, 2016 (CASES 2016), pp.21:1-21:10, Oct 2016.

LightHouse: An Automatic Code Generator for Graph Algorithms on GPUs.

G. Shashidhar, Rupesh Nasre
Appeared in Languages and Compilers for Parallel Computing - 29th International Workshop, LCPC 2016, Rochester, NY, USA, September 28-30, 2016, Revised Papers (LCPC 2016), Lecture Notes in Computer Science, Vol 10136, pp.235-249, Sep 2016.

EagerMerge: an optimistic technique for efficient points-to analysis.

Sudhir Samrit, Rupesh Nasre
Appeared in Proceedings of the 25th International Symposium on Software Testing and Analysis, ISSTA 2016, Saarbrcken, Germany, July 18-20, 2016 (ISSTA 2016), pp.47-58, Jul 2016.

GPU centric extensions for parallel strongly connected components computation.

Shrinivas Devshatwar, Madhur Amilkanthwar, Rupesh Nasre
Appeared in Proceedings of the 9th Annual Workshop on General Purpose Processing using Graphics Processing Unit, GPGPU@PPoPP 2016, Barcelona, Spain, March 12 - 16, 2016, pp.2-11, Mar 2016.

DomLock: a new multi-granularity locking technique for hierarchies.

Saurabh Kalikar, Rupesh Nasre
Appeared in Proceedings of the 21st ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPoPP 2016, Barcelona, Spain, March 12-16, 2016, pp.23, Mar 2016.

Efficient online cycle detection technique combining with Steensgaard points-to information.

Fei Liu 0019, Bixin Li, Rupesh Nasre
Appeared in Softw., Pract. Exper., Vol 46, pp.601-623, 2016.

Falcon: A Graph Manipulation Language for Heterogeneous Systems.

Unnikrishnan C., Rupesh Nasre, Y. N. Srikant
Appeared in TACO, Vol 12, pp.54, 2016.

Auto-parallelization of data structure operations for GPUs.

Rupesh Nasre
Appeared in 2014 International Conference on Compilers, Architecture and Synthesis for Embedded Systems, CASES 2014, Uttar Pradesh, India, October 12-17, 2014 (CASES 2014), pp.7:1-7:10, Oct 2014.

Push-pull constraint graph for efficient points-to analysis.

Bollu Ratnakar, Rupesh Nasre
Appeared in International Symposium on Memory Management, ISMM '14, Edinburgh, United Kingdom, June 12, 2014, pp.25-33, Jun 2014.

Dataflow Analysis for Datarace-Free Programs.

Arnab De, Deepak DSouza, Rupesh Nasre
Appeared in Programming Languages and Systems - 20th European Symposium on Programming, ESOP 2011, Held as Part of the Joint European Conferences on Theory and Practice of Software, ETAPS 2011, Saarbrcken, Germany, March 26-April 3, 2011. Proceedings, Lecture Notes in Computer Science, Vol 6602, pp.196-215, Mar 2011.

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