Rupesh Nasre

According to our database, Rupesh Nasre authored at least 60 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Code Generation for a Variety of Accelerators for a Graph DSL.

Ashwina Kumar, M. Venkata Krishna, Prasanna Bartakke, Rahul Kumar, Rajesh Pandian Muniasamy, Nibedita Behera, Rupesh Nasre

CoRR, 2024

2023

Single-linkage clustering of dynamic data.

Anju Mongandampulath Akathoott, Rupesh Nasre

Concurr. Comput. Pract. Exp., January, 2023

A Graph Data Structure to Optimize Dynamic Graph Processing on GPUs.

Rohith Krishnan S, Venkata Kalyan Tavva, Rupesh Nasre

CoRR, 2023

Meerkat: A framework for Dynamic Graph Algorithms on GPUs.

Kevin Jude Concessao, Unnikrishnan Cheramangalath, MJ Ricky Dev, Rupesh Nasre

CoRR, 2023

StarPlat: A Versatile DSL for Graph Analytics.

Nibedita Behera, Ashwina Kumar, Ebenezer Rajadurai T, Sai Nitish, Rajesh Pandian Muniasamy, Rupesh Nasre

CoRR, 2023

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

Ullas A, Rupesh Nasre, R. Govindarajan

Proceedings of the 30th IEEE International Conference on High Performance Computing, 2023

Effective Parallelization of the Vehicle Routing Problem.

Rajesh Pandian Muniasamy, Somesh Singh, Rupesh Nasre, N. S. Narayanaswamy

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

2022

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

Shouvick Mondal, Rupesh Nasre

IEEE Trans. Software Eng., 2022

Multi-Interval DomLock: Toward Improving Concurrency in Hierarchies.

M. A. Anju, Rupesh Nasre

ACM Trans. Parallel Comput., 2022

ParTBC: Faster Estimation of Top-<i>k</i> Betweenness Centrality Vertices on GPU.

Somesh Singh, Tejas Shah, Rupesh Nasre

ACM Trans. Design Autom. Electr. Syst., 2022

Accelerating Computation of Steiner Trees on GPUs.

Rajesh Pandian Muniasamy, Rupesh Nasre, N. S. Narayanaswamy

Int. J. Parallel Program., 2022

Scaling the Maximum Flow Computation on GPUs.

Jash Khatri, Arihant Samar, Bikash Behera, Rupesh Nasre

Int. J. Parallel Program., 2022

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

Dileep Kumar Pattipati, Rupesh Nasre, Sreenivasa Kumar Puligundla

Autom. Softw. Eng., 2022

2021

Hansie: Hybrid and consensus regression test prioritization.

Shouvick Mondal, Rupesh Nasre

J. Syst. Softw., 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

Int. J. Model. Simul. Sci. Comput., 2021

Summary of Hansie: Hybrid and consensus regression test prioritization.

Shouvick Mondal, Rupesh Nasre

Proceedings of the 14th IEEE Conference on Software Testing, Verification and Validation, 2021

2020

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

Dileep Kumar Pattipati, Rupesh Nasre, Sreenivasa Kumar Puligundla

Softw. Pract. Exp., 2020

A Fine-Grained Hybrid CPU-GPU Algorithm for Betweenness Centrality Computations.

Ashirbad Mishra, Sathish Vadhiyar, Rupesh Nasre, Keshav Pingali

CoRR, 2020

Custom code generation for a graph DSL.

Bikash Gogoi, Unnikrishnan Cheramangalath, Rupesh Nasre

Proceedings of the 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, 2020

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

Somesh Singh, Rupesh Nasre

Proceedings of the ICPP 2020: 49th International Conference on Parallel Processing, 2020

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

Chirayu Anant Haryan, G. Ramakrishna, Rupesh Nasre, Allam Dinesh Reddy

Proceedings of the 27th IEEE International Conference on High Performance Computing, 2020

Orion: time estimated causally consistent key-value store.

Diptanshu Kakwani, Rupesh Nasre

Proceedings of the 7th Workshop on Principles and Practice of Consistency for Distributed Data, 2020

Distributed Graph Analytics - Programming, Languages, and Their Compilation

Unnikrishnan Cheramangalath, Rupesh Nasre, Y. N. Srikant

Springer, ISBN: 978-3-030-41885-4, 2020

2019

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

Shouvick Mondal, Rupesh Nasre

J. Syst. Softw., 2019

A study on popular auto-parallelization frameworks.

Prema Soundararajan, Rupesh Nasre, R. Jehadeesan, B. K. Panigrahi

Concurr. Comput. Pract. Exp., 2019

Optimizing graph processing on GPUs using approximate computing: poster.

Somesh Singh, Rupesh Nasre

Proceedings of the 24th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2019

QADroid: regression event selection for Android applications.

Aman Sharma, Rupesh Nasre

Proceedings of the 28th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2019

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

Saurabh Kalikar, Rupesh Nasre

Proceedings of the Euro-Par 2019: Parallel Processing, 2019

2018

CHOAMP: Cost Based Hardware Optimization for Asymmetric Multicore Processors.

Jyothi Krishna Viswakaran Sreelatha, Shankar Balachandran, Rupesh Nasre

IEEE Trans. Multi Scale Comput. Syst., 2018

Scalable and Performant Graph Processing on GPUs Using Approximate Computing.

Somesh Singh, Rupesh Nasre

IEEE Trans. Multi Scale Comput. Syst., 2018

Optimizing Graph Algorithms in Asymmetric Multicore Processors.

Jyothi Krishna V. S, Rupesh Nasre

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018

NumLock: Towards Optimal Multi-Granularity Locking in Hierarchies.

Saurabh Kalikar, Rupesh Nasre

Proceedings of the 47th International Conference on Parallel Processing, 2018

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

Pravin Jagtap, Rupesh Nasre, B. S. V. Patnaik

Proceedings of the 25th IEEE International Conference on High Performance Computing Workshops, 2018

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

K. Ganesh, Saurabh Kalikar, Rupesh Nasre

Proceedings of the Euro-Par 2018: Parallel Processing, 2018

2017

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

Saurabh Kalikar, Rupesh Nasre

ACM Trans. Parallel Comput., 2017

Dynamic Load Balancing Strategies for Graph Applications on GPUs.

Ananya Raval, Rupesh Nasre, Vivek Kumar, R. Vasudevan, Sathish Vadhiyar, Keshav Pingali

CoRR, 2017

Fast Dynamic Graph Algorithms.

Gaurav Malhotra, Hitish Chappidi, Rupesh Nasre

Proceedings of the Languages and Compilers for Parallel Computing, 2017

DCEIL: Distributed Community Detection with the CEIL Score.

Akash Jain, Rupesh Nasre, Balaraman Ravindran

Proceedings of the 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, 2017

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

Unnikrishnan Cheramangalath, Rupesh Nasre, Y. N. Srikant

Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

2016

Falcon: A Graph Manipulation Language for Heterogeneous Systems.

Unnikrishnan C., Rupesh Nasre, Y. N. Srikant

ACM Trans. Archit. Code Optim., 2016

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

Fei Liu, Bixin Li, Rupesh Nasre

Softw. Pract. Exp., 2016

GPU centric extensions for parallel strongly connected components computation.

Shrinivas Devshatwar, Madhur Amilkanthwar, Rupesh Nasre

Proceedings of the 9th Annual Workshop on General Purpose Processing using Graphics Processing Unit, 2016

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

G. Shashidhar, Rupesh Nasre

Proceedings of the Languages and Compilers for Parallel Computing, 2016

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

Sudhir Samrit, Rupesh Nasre

Proceedings of the 25th International Symposium on Software Testing and Analysis, 2016

FastCollect: offloading generational garbage collection to integrated GPUs.

Abhinav, Rupesh Nasre

Proceedings of the 2016 International Conference on Compilers, 2016

2014

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

Bollu Ratnakar, Rupesh Nasre

Proceedings of the International Symposium on Memory Management, 2014

Auto-parallelization of data structure operations for GPUs.

Rupesh Nasre

Proceedings of the 2014 International Conference on Compilers, 2014

2013

Time- and space-efficient flow-sensitive points-to analysis.

Rupesh Nasre

ACM Trans. Archit. Code Optim., 2013

Morph algorithms on GPUs.

Rupesh Nasre, Martin Burtscher, Keshav Pingali

Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2013

Data-Driven Versus Topology-driven Irregular Computations on GPUs.

Rupesh Nasre, Martin Burtscher, Keshav Pingali

Proceedings of the 27th IEEE International Symposium on Parallel and Distributed Processing, 2013

Atomic-free irregular computations on GPUs.

Rupesh Nasre, Martin Burtscher, Keshav Pingali

Proceedings of the 6th Workshop on General Purpose Processor Using Graphics Processing Units, 2013

2012

Exploiting the structure of the constraint graph for efficient points-to analysis.

Rupesh Nasre

Proceedings of the International Symposium on Memory Management, 2012

A quantitative study of irregular programs on GPUs.

Martin Burtscher, Rupesh Nasre, Keshav Pingali

Proceedings of the 2012 IEEE International Symposium on Workload Characterization, 2012

Parallel Replication-Based Points-To Analysis.

Sandeep Putta, Rupesh Nasre

Proceedings of the Compiler Construction - 21st International Conference, 2012

2011

Approximating inclusion-based points-to analysis.

Rupesh Nasre

Proceedings of the 2011 ACM SIGPLAN workshop on Memory Systems Performance and Correctness: held in conjunction with PLDI '11, 2011

Dataflow Analysis for Datarace-Free Programs.

Arnab De, Deepak D'Souza, Rupesh Nasre

Proceedings of the Programming Languages and Systems, 2011

Prioritizing constraint evaluation for efficient points-to analysis.

Rupesh Nasre, Ramaswamy Govindarajan

Proceedings of the CGO 2011, 2011

2010

Points-to Analysis as a System of Linear Equations.

Rupesh Nasre, Ramaswamy Govindarajan

Proceedings of the Static Analysis - 17th International Symposium, 2010

2009

Scalable Context-Sensitive Points-to Analysis Using Multi-dimensional Bloom Filters.

Rupesh Nasre, Kaushik Rajan, Ramaswamy Govindarajan, Uday P. Khedker

Proceedings of the Programming Languages and Systems, 7th Asian Symposium, 2009

2003

User Interaction in the BANKS System.

B. Aditya, Soumen Chakrabarti, Rushi Desai, Arvind Hulgeri, Hrishikesh Karambelkar, Rupesh Nasre, Parag, S. Sudarshan

Proceedings of the 19th International Conference on Data Engineering, 2003