Rupesh Nasre - RankMe

77 papers A* 1A 7B 8C 3Misc 5Journal 34Unranked 18

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A one-stop DSL for all your GNN workloads. HiPCW Anubhab, Rupesh Nasre
2025	J	`jnl`	Efficient Dynamic MaxFlow Computation on GPUs. CoRR Shruthi Kannappan, Ashwina Kumar, Rupesh Nasre
2025	—	`conf`	Frequency Throttling on GPUs. HiPCW Sahil Kokare, Ricky Dev, Pradeep Ramachandran, Rupesh Nasre
2025	J	`jnl`	Generating Dynamic Graph Algorithms for Multiple Backends for a Graph DSL. CoRR Nibedita Behera, Ashwina Kumar, Atharva Chougule, Mohammed Shan P. S, Rushabh Nirdosh Lalwani, Rupesh Nasre
2025	J	`jnl`	Scalable Maxflow Processing for Dynamic Graphs. CoRR Shruthi Kannappan, Ashwina Kumar, Rupesh Nasre
2025	Misc	`conf`	Scalable XML Parsing and XPath Querying with Regular Expression Support. HiPC Robert Samuel, Rupesh Nasre
2025	J	`jnl`	StarDist: A Code Generator for Distributed Graph Algorithms. CoRR Barenya Kumar Nandy, Rupesh Nasre
2025	—	`conf`	gSubCSR: Dynamic Graph Algorithms for Out-of-GPU-Memory Computation. HiPCW Ullas A, R. Govindarajan, Rupesh Nasre
2024	J	`jnl`	Code Generation for a Variety of Accelerators for a Graph DSL. CoRR Ashwina Kumar, M. Venkata Krishna, Prasanna Bartakke, Rahul Kumar, Rajesh Pandian Muniasamy, Nibedita Behera, Rupesh Nasre
2024	—	`conf`	Experience and Learning from an NSM Nodal Center for Training in HPC and AI. HIPCW Rupesh Nasre
2024	—	`conf`	FlexiGran: Flexible Granularity Locking in Hierarchies. Euro-Par (1) Anju Mongandampulath Akathoott, Rupesh Nasre
2024	J	`jnl`	Meerkat: A Framework for Dynamic Graph Algorithms on GPUs. Int. J. Parallel Program. Kevin Jude Concessao, Unnikrishnan Cheramangalath, MJ Ricky Dev, Rupesh Nasre
2024	—	`conf`	Performance Efficiency of Image Processing Algorithms on GPU using GPU specific languages. HIPCW Smit Bagul, Akshat Singh, Surya Prasad S, Pradeep Ramachandran, Rupesh Nasre
2024	J	`jnl`	StarPlat: A versatile DSL for graph analytics. J. Parallel Distributed Comput. Nibedita Behera, Ashwina Kumar, Ebenezer Rajadurai T, Sai Nitish, Rajesh Pandian Muniasamy, Rupesh Nasre
2023	J	`jnl`	A Graph Data Structure to Optimize Dynamic Graph Processing on GPUs. CoRR Rohith Krishnan S, Venkata Kalyan Tavva, Rupesh Nasre
2023	A	`conf`	Effective Parallelization of the Vehicle Routing Problem. GECCO Rajesh Pandian Muniasamy, Somesh Singh, Rupesh Nasre, N. S. Narayanaswamy
2023	J	`jnl`	Meerkat: A framework for Dynamic Graph Algorithms on GPUs. CoRR Kevin Jude Concessao, Unnikrishnan Cheramangalath, MJ Ricky Dev, Rupesh Nasre
2023	Misc	`conf`	Reduce, Reuse, and Adapt: Accelerating Graph Processing on GPUs. HiPC Ullas A, Rupesh Nasre, R. Govindarajan
2023	J	`jnl`	Single-linkage clustering of dynamic data. Concurr. Comput. Pract. Exp. Anju Mongandampulath Akathoott, Rupesh Nasre
2023	J	`jnl`	StarPlat: A Versatile DSL for Graph Analytics. CoRR Nibedita Behera, Ashwina Kumar, Ebenezer Rajadurai T, Sai Nitish, Rajesh Pandian Muniasamy, Rupesh Nasre
2022	J	`jnl`	${{\sf Colosseum}}$Colosseum: Regression Test Prioritization by Delta Displacement in Test Coverage. IEEE Trans. Software Eng. Shouvick Mondal, Rupesh Nasre
2022	J	`jnl`	Accelerating Computation of Steiner Trees on GPUs. Int. J. Parallel Program. Rajesh Pandian Muniasamy, Rupesh Nasre, N. S. Narayanaswamy
2022	J	`jnl`	BOLD: an ontology-based log debugger for C programs. Autom. Softw. Eng. Dileep Kumar Pattipati, Rupesh Nasre, Sreenivasa Kumar Puligundla
2022	J	`jnl`	Multi-Interval DomLock: Toward Improving Concurrency in Hierarchies. ACM Trans. Parallel Comput. M. A. Anju, Rupesh Nasre
2022	J	`jnl`	ParTBC: Faster Estimation of Top- ACM Trans. Design Autom. Electr. Syst. Somesh Singh, Tejas Shah, Rupesh Nasre
2022	J	`jnl`	Scaling the Maximum Flow Computation on GPUs. Int. J. Parallel Program. Jash Khatri, Arihant Samar, Bikash Behera, Rupesh Nasre
2021	J	`jnl`	Efficient parallelization of SPH algorithm on modern multi-core CPUs and massively parallel GPUs. Int. J. Model. Simul. Sci. Comput. Pravin Jagtap, Rupesh Nasre, V. S. Sanapala, B. S. V. Patnaik
2021	J	`jnl`	Hansie: Hybrid and consensus regression test prioritization. J. Syst. Softw. Shouvick Mondal, Rupesh Nasre
2021	A	`conf`	Summary of Hansie: Hybrid and consensus regression test prioritization. ICST Shouvick Mondal, Rupesh Nasre
2020	J	`jnl`	A Fine-Grained Hybrid CPU-GPU Algorithm for Betweenness Centrality Computations. CoRR Ashirbad Mishra, Sathish Vadhiyar, Rupesh Nasre, Keshav Pingali
2020	Misc	`conf`	A GPU Algorithm for Earliest Arrival Time Problem in Public Transport Networks. HiPC Chirayu Anant Haryan, G. Ramakrishna, Rupesh Nasre, Allam Dinesh Reddy
2020	J	`jnl`	BOLD: An Ontology-based Log Debugger for C Programs. CoRR Dileep Kumar Pattipati, Rupesh Nasre, Sreenivasa Kumar P
2020	—	`conf`	Custom code generation for a graph DSL. GPGPU@PPoPP Bikash Gogoi, Unnikrishnan Cheramangalath, Rupesh Nasre
2020	—	`book`	Distributed Graph Analytics - Programming, Languages, and Their Compilation Unnikrishnan Cheramangalath, Rupesh Nasre, Y. N. Srikant
2020	B	`conf`	Graffix: Efficient Graph Processing with a Tinge of GPU-Specific Approximations. ICPP Somesh Singh, Rupesh Nasre
2020	J	`jnl`	OPAL: An extensible framework for ontology-based program analysis. Softw. Pract. Exp. Dileep Kumar Pattipati, Rupesh Nasre, Sreenivasa Kumar Puligundla
2020	—	`conf`	Orion: time estimated causally consistent key-value store. PaPoC@EuroSys Diptanshu Kakwani, Rupesh Nasre
2019	J	`jnl`	A study on popular auto-parallelization frameworks. Concurr. Comput. Pract. Exp. Prema Soundararajan, Rupesh Nasre, R. Jehadeesan, B. K. Panigrahi
2019	J	`jnl`	Custom Code Generation for a Graph DSL. CoRR Bikash Gogoi, Unnikrishnan Cheramangalath, Rupesh Nasre
2019	J	`jnl`	GPU Algorithm for Earliest Arrival Time Problem in Public Transport Networks. CoRR Chirayu Anant Haryan, G. Ramakrishna, Rupesh Nasre, Allam Dinesh Reddy
2019	J	`jnl`	Mahtab: Phase-wise acceleration of regression testing for C. J. Syst. Softw. Shouvick Mondal, Rupesh Nasre
2019	B	`conf`	Optimizing graph processing on GPUs using approximate computing: poster. PPoPP Somesh Singh, Rupesh Nasre
2019	A	`conf`	QADroid: regression event selection for Android applications. ISSTA Aman Sharma, Rupesh Nasre
2019	—	`conf`	Toggle: Contention-Aware Task Scheduler for Concurrent Hierarchical Operations. Euro-Par Saurabh Kalikar, Rupesh Nasre
2018	J	`jnl`	CHOAMP: Cost Based Hardware Optimization for Asymmetric Multicore Processors. IEEE Trans. Multi Scale Comput. Syst. Jyothi Krishna Viswakaran Sreelatha, Shankar Balachandran, Rupesh Nasre
2018	—	`conf`	Effective Mapping of an SPH Algorithm on Massively Parallel GPU Architecture. HiPC Workshops Pravin Jagtap, Rupesh Nasre, B. S. V. Patnaik
2018	—	`conf`	Multi-granularity Locking in Hierarchies with Synergistic Hierarchical and Fine-Grained Locks. Euro-Par K. Ganesh, Saurabh Kalikar, Rupesh Nasre
2018	B	`conf`	NumLock: Towards Optimal Multi-Granularity Locking in Hierarchies. ICPP Saurabh Kalikar, Rupesh Nasre
2018	J	`jnl`	Optimizing Graph Algorithms in Asymmetric Multicore Processors. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Jyothi Krishna V. S, Rupesh Nasre
2018	J	`jnl`	Scalable and Performant Graph Processing on GPUs Using Approximate Computing. IEEE Trans. Multi Scale Comput. Syst. Somesh Singh, Rupesh Nasre
2017	—	`conf`	DCEIL: Distributed Community Detection with the CEIL Score. HPCC/SmartCity/DSS Akash Jain, Rupesh Nasre, Balaraman Ravindran
2017	C	`conf`	DH-Falcon: A Language for Large-Scale Graph Processing on Distributed Heterogeneous Systems. CLUSTER Unnikrishnan Cheramangalath, Rupesh Nasre, Y. N. Srikant
2017	J	`jnl`	DomLock: A New Multi-Granularity Locking Technique for Hierarchies. ACM Trans. Parallel Comput. Saurabh Kalikar, Rupesh Nasre
2017	J	`jnl`	Dynamic Load Balancing Strategies for Graph Applications on GPUs. CoRR Ananya Raval, Rupesh Nasre, Vivek Kumar, R. Vasudevan, Sathish Vadhiyar, Keshav Pingali
2017	—	`conf`	Fast Dynamic Graph Algorithms. LCPC Gaurav Malhotra, Hitish Chappidi, Rupesh Nasre
2016	B	`conf`	DomLock: a new multi-granularity locking technique for hierarchies. PPoPP Saurabh Kalikar, Rupesh Nasre
2016	A	`conf`	EagerMerge: an optimistic technique for efficient points-to analysis. ISSTA Sudhir Samrit, Rupesh Nasre
2016	J	`jnl`	Efficient online cycle detection technique combining with Steensgaard points-to information. Softw. Pract. Exp. Fei Liu, Bixin Li, Rupesh Nasre
2016	J	`jnl`	Falcon: A Graph Manipulation Language for Heterogeneous Systems. ACM Trans. Archit. Code Optim. Unnikrishnan C., Rupesh Nasre, Y. N. Srikant
2016	Misc	`conf`	FastCollect: offloading generational garbage collection to integrated GPUs. CASES Abhinav, Rupesh Nasre
2016	—	`conf`	GPU centric extensions for parallel strongly connected components computation. GPGPU@PPoPP Shrinivas Devshatwar, Madhur Amilkanthwar, Rupesh Nasre
2016	—	`conf`	LightHouse: An Automatic Code Generator for Graph Algorithms on GPUs. LCPC G. Shashidhar, Rupesh Nasre
2014	Misc	`conf`	Auto-parallelization of data structure operations for GPUs. CASES Rupesh Nasre
2014	C	`conf`	Push-pull constraint graph for efficient points-to analysis. ISMM Bollu Ratnakar, Rupesh Nasre
2013	—	`conf`	Atomic-free irregular computations on GPUs. GPGPU@ASPLOS Rupesh Nasre, Martin Burtscher, Keshav Pingali
2013	A	`conf`	Data-Driven Versus Topology-driven Irregular Computations on GPUs. IPDPS Rupesh Nasre, Martin Burtscher, Keshav Pingali
2013	B	`conf`	Morph algorithms on GPUs. PPoPP Rupesh Nasre, Martin Burtscher, Keshav Pingali
2013	J	`jnl`	Time- and space-efficient flow-sensitive points-to analysis. ACM Trans. Archit. Code Optim. Rupesh Nasre
2012	—	`conf`	A quantitative study of irregular programs on GPUs. IISWC Martin Burtscher, Rupesh Nasre, Keshav Pingali
2012	C	`conf`	Exploiting the structure of the constraint graph for efficient points-to analysis. ISMM Rupesh Nasre
2012	B	`conf`	Parallel Replication-Based Points-To Analysis. CC Sandeep Putta, Rupesh Nasre
2011	—	`conf`	Approximating inclusion-based points-to analysis. MSPC Rupesh Nasre
2011	A	`conf`	Dataflow Analysis for Datarace-Free Programs. ESOP Arnab De, Deepak D'Souza, Rupesh Nasre
2011	A	`conf`	Prioritizing constraint evaluation for efficient points-to analysis. CGO Rupesh Nasre, Ramaswamy Govindarajan
2010	B	`conf`	Points-to Analysis as a System of Linear Equations. SAS Rupesh Nasre, Ramaswamy Govindarajan
2009	B	`conf`	Scalable Context-Sensitive Points-to Analysis Using Multi-dimensional Bloom Filters. APLAS Rupesh Nasre, Kaushik Rajan, Ramaswamy Govindarajan, Uday P. Khedker
2003	A*	`conf`	User Interaction in the BANKS System. ICDE B. Aditya, Soumen Chakrabarti, Rushi Desai, Arvind Hulgeri, Hrishikesh Karambelkar, Rupesh Nasre, Parag, S. Sudarshan