Keshav Pingali

ORCID

Publication Activity (10 Years)

Years Active: 1985-2024
Publications (10 Years): 72

Top Venues

Publications

Hochan Lee, Roshan Dathathri, Keshav Pingali
Kimbap: A Node-Property Map System for Distributed Graph Analytics. ASPLOS (2) (2024)
William Ruys, Hochan Lee, Bozhi You, Shreya Talati, Jaeyoung Park, James Almgren-Bell, Yineng Yan, Milinda Fernando, George Biros, Mattan Erez, Martin Burtscher, Christopher J. Rossbach, Keshav Pingali, Milos Gligoric
A Deep Dive into Task-Based Parallelism in Python. IPDPS (Workshops) (2024)
Alicja Niewiadomska, Pawel Maczuga, Albert Oliver Serra, Leszek Siwik, Paulina Sepúlveda-Salas, Anna Paszynska, Maciej Paszynski, Keshav Pingali
Modeling Tsunami Waves at the Coastline of Valparaiso Area of Chile with Physics Informed Neural Networks. ICCS (2) (2024)
Pawel Maczuga, Maciej Skoczen, Przemyslaw Roznawski, Filip Tluszcz, Marcin Szubert, Marcin Los, Witold Dzwinel, Keshav Pingali, Maciej Paszynski
Physics Informed Neural Network Code for 2D Transient Problems (PINN-2DT) Compatible with Google Colab. CoRR (2023)
Marcin Los, Maciej Wozniak, Keshav Pingali, Luis E. García-Castillo, Julen Álvarez-Aramberri, David Pardo, Maciej Paszynski
Fast parallel IGA-ADS solver for time-dependent Maxwell's equations. Comput. Math. Appl. 151 (2023)
Sepideh Maleki, Donya Saless, Dennis P. Wall, Keshav Pingali
HyperNetVec: Fast and Scalable Hierarchical Embedding for Hypergraphs. NetSci-X (2022)
Jiayuan He, Udit Agarwal, Yihang Yang, Rajit Manohar, Keshav Pingali
SPRoute 2.0: A detailed-routability-driven deterministic parallel global router with soft capacity. ASP-DAC (2022)
Maciej Paszynski, Leszek Siwik, Witold Dzwinel, Keshav Pingali
Supermodeling, a convergent data assimilation meta-procedure used in simulation of tumor progression. Comput. Math. Appl. 113 (2022)
Alex Fallin, Aarti Kothari, Jiayuan He, Christopher Yanez, Keshav Pingali, Rajit Manohar, Martin Burtscher
A Simple, Fast, and GPU-friendly Steiner-Tree Heuristic. IPDPS Workshops (2022)
Hochan Lee, William Ruys, Ian Henriksen, Arthur Peters, Yineng Yan, Sean Stephens, Bozhi You, Henrique Fingler, Martin Burtscher, Milos Gligoric, Karl Schulz, Keshav Pingali, Christopher J. Rossbach, Mattan Erez, George Biros
Parla: A Python Orchestration System for Heterogeneous Architectures. SC (2022)
Leszek Siwik, Marcin Los, Adrian Klusek, Anna Paszynska, Keshav Pingali, Witold Dzwinel, Maciej Paszynski
Tuning three-dimensional tumor progression simulations on a cluster of GPGPUs. J. Comput. Appl. Math. 412 (2022)
Ian Henriksen, Bozhi You, Keshav Pingali
Exploiting Asynchronous Priority Scheduling in Parallel Eikonal Solvers. CoRR (2021)
Loc Hoang, Roshan Dathathri, Gurbinder Gill, Keshav Pingali
CuSP: A Customizable Streaming Edge Partitioner for Distributed Graph Analytics. ACM SIGOPS Oper. Syst. Rev. 55 (1) (2021)
Yan Pei, Keshav Pingali
Sonic: A Sampling-based Online Controller for Streaming Applications. CoRR (2021)
Xuhao Chen, Roshan Dathathri, Gurbinder Gill, Loc Hoang, Keshav Pingali
Sandslash: a two-level framework for efficient graph pattern mining. ICS (2021)
Sepideh Maleki, Dennis P. Wall, Keshav Pingali
NetVec: A Scalable Hypergraph Embedding System. CoRR (2021)
Krzysztof Podsiadlo, Albert Oliver Serra, Anna Paszynska, Rafael Montenegro, Ian Henriksen, Maciej Paszynski, Keshav Pingali
Parallel graph-grammar-based algorithm for the longest-edge refinement of triangular meshes and the pollution simulations in Lesser Poland area. Eng. Comput. 37 (4) (2021)
Sepideh Maleki, Udit Agarwal, Martin Burtscher, Keshav Pingali
BiPart: a parallel and deterministic hypergraph partitioner. PPoPP (2021)
Samira Ataei, Wenmian Hua, Yihang Yang, Rajit Manohar, Yi-Shan Lu, Jiayuan He, Sepideh Maleki, Keshav Pingali
An Open-Source EDA Flow for Asynchronous Logic. IEEE Des. Test 38 (2) (2021)
Loc Hoang, Udit Agarwal, Gurbinder Gill, Roshan Dathathri, Abhik Seal, Brian Martin, Keshav Pingali
Optimizing Graph Transformer Networks with Graph-based Techniques. CoRR (2021)
Yan Pei, Swarnendu Biswas, Donald S. Fussell, Keshav Pingali
A Methodology for Principled Approximation in Visual SLAM. PACT (2020)
Sepideh Maleki, Udit Agarwal, Martin Burtscher, Keshav Pingali
BiPart: A Parallel and Deterministic Multilevel Hypergraph Partitioner. CoRR (2020)
Tal Ben-Nun, Michael Sutton, Sreepathi Pai, Keshav Pingali
Groute: Asynchronous Multi-GPU Programming Model with Applications to Large-scale Graph Processing. ACM Trans. Parallel Comput. 7 (3) (2020)
Xuhao Chen, Roshan Dathathri, Gurbinder Gill, Keshav Pingali
Pangolin: An Efficient and Flexible Graph Mining System on CPU and GPU. Proc. VLDB Endow. 13 (8) (2020)
Ariful Azad, Mohsen Mahmoudi Aznaveh, Scott Beamer, Mark P. Blanco, Jinhao Chen, Luke D'Alessandro, Roshan Dathathri, Tim Davis, Kevin Deweese, Jesun Firoz, Henry A. Gabb, Gurbinder Gill, Bálint Hegyi, Scott P. Kolodziej, Tze Meng Low, Andrew Lumsdaine, Tugsbayasgalan Manlaibaatar, Timothy G. Mattson, Scott McMillan, Ramesh Peri, Keshav Pingali, Upasana Sridhar, Gábor Szárnyas, Yunming Zhang, Yongzhe Zhang
Evaluation of Graph Analytics Frameworks Using the GAP Benchmark Suite. IISWC (2020)
Gurbinder Gill, Roshan Dathathri, Loc Hoang, Ramesh Peri, Keshav Pingali
Single Machine Graph Analytics on Massive Datasets Using Intel Optane DC Persistent Memory. Proc. VLDB Endow. 13 (8) (2020)
Xuhao Chen, Roshan Dathathri, Gurbinder Gill, Loc Hoang, Keshav Pingali
Sandslash: A Two-Level Framework for Efficient Graph Pattern Mining. CoRR (2020)
Hochan Lee, David Wong, Loc Hoang, Roshan Dathathri, Gurbinder Gill, Vishwesh Jatala, David Kuck, Keshav Pingali
A Study of APIs for Graph Analytics Workloads. IISWC (2020)
Wenmian Hua, Yi-Shan Lu, Keshav Pingali, Rajit Manohar
Cyclone: A Static Timing and Power Engine for Asynchronous Circuits. ASYNC (2020)
Vishwesh Jatala, Roshan Dathathri, Gurbinder Gill, Loc Hoang, V. Krishna Nandivada, Keshav Pingali
A Study of Graph Analytics for Massive Datasets on Distributed Multi-GPUs. IPDPS (2020)
Ashirbad Mishra, Sathish Vadhiyar, Rupesh Nasre, Keshav Pingali
A Fine-Grained Hybrid CPU-GPU Algorithm for Betweenness Centrality Computations. CoRR (2020)
Marcin Los, Judit Muñoz-Matute, Krzysztof Podsiadlo, Maciej Paszynski, Keshav Pingali
Parallel Shared-Memory Isogeometric Residual Minimization (iGRM) for Three-Dimensional Advection-Diffusion Problems. ICCS (7) (2020)
Yan Pei, Swarnendu Biswas, Donald S. Fussell, Keshav Pingali
SLAMBooster: An Application-Aware Online Controller for Approximation in Dense SLAM. PACT (2019)
Loc Hoang, Vishwesh Jatala, Xuhao Chen, Udit Agarwal, Roshan Dathathri, Gurbinder Gill, Keshav Pingali
DistTC: High Performance Distributed Triangle Counting. HPEC (2019)
Keshav Pingali
GrAPL Keynote 1. IPDPS Workshops (2019)
Maciej Paszynski, Konrad Jopek, Anna Paszynska, Muhammad Amber Hasaan, Keshav Pingali
Hypergraph grammar based multi-thread multi-frontal direct solver with Galois scheduler. Comput. Sci. 20 (1) (2019)
Roshan Dathathri, Gurbinder Gill, Loc Hoang, Keshav Pingali
Phoenix: A Substrate for Resilient Distributed Graph Analytics. ASPLOS (2019)
Leszek Siwik, Marcin Los, Adrian Klusek, Keshav Pingali, Witold Dzwinel, Maciej Paszynski
Supermodeling of tumor dynamics with parallel isogeometric analysis solver. CoRR (2019)
Loc Hoang, Roshan Dathathri, Gurbinder Gill, Keshav Pingali
CuSP: A Customizable Streaming Edge Partitioner for Distributed Graph Analytics. IPDPS (2019)
Gurbinder Gill, Roshan Dathathri, Loc Hoang, Ramesh Peri, Keshav Pingali
Single Machine Graph Analytics on Massive Datasets Using Intel Optane DC Persistent Memory. CoRR (2019)
Roshan Dathathri, Gurbinder Gill, Loc Hoang, Vishwesh Jatala, Keshav Pingali, V. Krishna Nandivada, Hoang-Vu Dang, Marc Snir
Gluon-Async: A Bulk-Asynchronous System for Distributed and Heterogeneous Graph Analytics. PACT (2019)
Jiayuan He, Martin Burtscher, Rajit Manohar, Keshav Pingali
SPRoute: A Scalable Parallel Negotiation-based Global Router. ICCAD (2019)
Yan Pei, Swarnendu Biswas, Donald S. Fussell, Keshav Pingali
An elementary introduction to Kalman filtering. Commun. ACM 62 (11) (2019)
Loc Hoang, Matteo Pontecorvi, Roshan Dathathri, Gurbinder Gill, Bozhi You, Keshav Pingali, Vijaya Ramachandran
A round-efficient distributed betweenness centrality algorithm. PPoPP (2019)
Saeid Barati, Ferenc A. Bartha, Swarnendu Biswas, Robert Cartwright, Adam Duracz, Donald S. Fussell, Henry Hoffmann, Connor Imes, Jason E. Miller, Nikita Mishra, Arvind, Dung Nguyen, Krishna V. Palem, Yan Pei, Keshav Pingali, Ryuichi Sai, Andrew Wright, Yao-Hsiang Yang, Sizhuo Zhang
Proteus: Language and Runtime Support for Self-Adaptive Software Development. IEEE Softw. 36 (2) (2019)
Xuhao Chen, Roshan Dathathri, Gurbinder Gill, Keshav Pingali
Pangolin: An Efficient and Flexible Graph Mining System on CPU and GPU. CoRR (2019)
Vishwesh Jatala, Loc Hoang, Roshan Dathathri, Gurbinder Gill, V. Krishna Nandivada, Keshav Pingali
An Adaptive Load Balancer For Graph Analytical Applications on GPUs. CoRR (2019)
Ian Henriksen, Gianfranco Bilardi, Keshav Pingali
Derivative grammars: a symbolic approach to parsing with derivatives. Proc. ACM Program. Lang. 3 (OOPSLA) (2019)
Vinicius N. Possani, Yi-Shan Lu, Alan Mishchenko, Keshav Pingali, Renato P. Ribas, André Inácio Reis
Unlocking fine-grain parallelism for AIG rewriting. ICCAD (2018)
Yan Pei, Swarnendu Biswas, Donald S. Fussell, Keshav Pingali
SLAMBooster: An Application-aware Controller for Approximation in SLAM. CoRR (2018)
Gurbinder Gill, Roshan Dathathri, Loc Hoang, Andrew Lenharth, Keshav Pingali
Abelian: A Compiler for Graph Analytics on Distributed, Heterogeneous Platforms. Euro-Par (2018)
Hoang-Vu Dang, Roshan Dathathri, Gurbinder Gill, Alex Brooks, Nikoli Dryden, Andrew Lenharth, Loc Hoang, Keshav Pingali, Marc Snir
A Lightweight Communication Runtime for Distributed Graph Analytics. IPDPS (2018)
Gurbinder Gill, Roshan Dathathri, Loc Hoang, Keshav Pingali
A Study of Partitioning Policies for Graph Analytics on Large-scale Distributed Platforms. Proc. VLDB Endow. 12 (4) (2018)
Piotr Gurgul, Konrad Jopek, Keshav Pingali, Anna Paszynska
Applications of A Hyper-Graph Grammar System in Adaptive Finite-Element Computations. Int. J. Appl. Math. Comput. Sci. 28 (3) (2018)
Roshan Dathathri, Gurbinder Gill, Loc Hoang, Hoang-Vu Dang, Alex Brooks, Nikoli Dryden, Marc Snir, Keshav Pingali
Gluon: a communication-optimizing substrate for distributed heterogeneous graph analytics. PLDI (2018)
Yan Pei, Swarnendu Biswas, Donald S. Fussell, Keshav Pingali
An Elementary Introduction to Kalman Filtering. CoRR (2017)
Ananya Raval, Rupesh Nasre, Vivek Kumar, R. Vasudevan, Sathish Vadhiyar, Keshav Pingali
Dynamic Load Balancing Strategies for Graph Applications on GPUs. CoRR (2017)
Marcin Los, Maciej Wozniak, Maciej Paszynski, Andrew Lenharth, Muhammad Amber Hassaan, Keshav Pingali
IGA-ADS: Isogeometric analysis FEM using ADS solver. Comput. Phys. Commun. 217 (2017)
Swarnendu Biswas, Yan Pei, Donald S. Fussell, Keshav Pingali
Capri: A Control System for Approximate Programs. CoRR (2017)
Tal Ben-Nun, Michael Sutton, Sreepathi Pai, Keshav Pingali
Groute: An Asynchronous Multi-GPU Programming Model for Irregular Computations. PPOPP (2017)
Chad Voegele, Yi-Shan Lu, Sreepathi Pai, Keshav Pingali
Parallel triangle counting and k-truss identification using graph-centric methods. HPEC (2017)
Donald Nguyen, Keshav Pingali
What Scalable Programs Need from Transactional Memory. ASPLOS (2017)
Sreepathi Pai, Keshav Pingali
A compiler for throughput optimization of graph algorithms on GPUs. OOPSLA (2016)
Saeed Maleki, Donald Nguyen, Andrew Lenharth, María Jesús Garzarán, David A. Padua, Keshav Pingali
DSMR: A Parallel Algorithm for Single-Source Shortest Path Problem. ICS (2016)
Anna Paszynska, Maciej Wozniak, Andrew Lenharth, Donald Nguyen, Keshav Pingali
Hypergraph Grammars in Non-stationary hp-adaptive Finite Element Method. ICCS (2016)
Rashid Kaleem, Anand Venkat, Sreepathi Pai, Mary W. Hall, Keshav Pingali
Synchronization Trade-Offs in GPU Implementations of Graph Algorithms. IPDPS (2016)
Andrew Lenharth, Donald Nguyen, Keshav Pingali
Parallel graph analytics. Commun. ACM 59 (5) (2016)
Xin Sui, Andrew Lenharth, Donald S. Fussell, Keshav Pingali
Proactive Control of Approximate Programs. ASPLOS (2016)
Hassan AbouEisha, Konrad Jopek, Bartlomiej Medygral, Szymon Nosek, Mikhail Ju. Moshkov, Anna Paszynska, Maciej Paszynski, Keshav Pingali
Hybrid Direct and Iterative Solver with Library of Multi-criteria Optimal Orderings for h Adaptive Finite Element Method Computations. ICCS (2016)
Michael Sutton, Tal Ben-Nun, Amnon Barak, Sreepathi Pai, Keshav Pingali
Adaptive Work-Efficient Connected Components on the GPU. CoRR (2016)
Saeed Maleki, Donald Nguyen, Andrew Lenharth, María Jesús Garzarán, David A. Padua, Keshav Pingali
DSMR: a shared and distributed memory algorithm for single-source shortest path problem. PPOPP (2016)
Sreepathi Pai, Keshav Pingali
Lowering IrGL to CUDA. CoRR (2016)
Keshav Pingali, J. Ramanujam, P. Sadayappan
Introduction to the Special Issue on PPoPP'12. ACM Trans. Parallel Comput. 1 (2) (2015)
Rashid Kaleem, Sreepathi Pai, Keshav Pingali
Stochastic gradient descent on GPUs. GPGPU@PPoPP (2015)
Andrew Lenharth, Donald Nguyen, Keshav Pingali
Priority Queues Are Not Good Concurrent Priority Schedulers. Euro-Par (2015)
Anna Paszynska, Konrad Jopek, Krzysztof Banas, Maciej Paszynski, Piotr Gurgul, Andrew Lenerth, Donald Nguyen, Keshav Pingali, Lisandro Dalcín, Victor M. Calo
Telescopic Hybrid Fast Solver for 3D Elliptic Problems with Point Singularities. ICCS (2015)
Akshatha Bhat, Andrew Lenharth, Donald Nguyen, Qing Yi, Keshav Pingali
Automatic Tuning of Task Scheduling Policies on Multicore Architectures. PARCO (2015)
Dimitrios Prountzos, Roman Manevich, Keshav Pingali
Synthesizing parallel graph programs via automated planning. PLDI (2015)
Anna Paszynska, Maciej Paszynski, Konrad Jopek, Maciej Wozniak, Damian Goik, Piotr Gurgul, Hassan AbouEisha, Mikhail Moshkov, Victor Manuel Calo, Andrew Lenharth, Donald Nguyen, Keshav Pingali
Quasi-Optimal Elimination Trees for 2D Grids with Singularities. Sci. Program. 2015 (2015)
Muhammad Amber Hassaan, Donald D. Nguyen, Keshav Pingali
Kinetic Dependence Graphs. ASPLOS (2015)
Keshav Pingali, Gianfranco Bilardi
A Graphical Model for Context-Free Grammar Parsing. CC (2015)
Joyce Jiyoung Whang, Andrew Lenharth, Inderjit S. Dhillon, Keshav Pingali
Scalable Data-Driven PageRank: Algorithms, System Issues, and Lessons Learned. Euro-Par (2015)
Andrew Lenharth, Keshav Pingali
Scaling Runtimes for Irregular Algorithms to Large-Scale NUMA Systems. Computer 48 (8) (2015)
Keshav Pingali
Parallel program = operator + schedule + parallel data structure. SAMOS (2015)
Keshav Pingali
High-speed graph analytics with the galois system. PPAA@PPoPP (2014)
Keshav Pingali
Author retrospective for synthesizing transformations for locality enhancement of imperfectly-nested loop nests. ICS 25th Anniversary (2014)
Konstantinos I. Karantasis, Andrew Lenharth, Donald Nguyen, María Jesús Garzarán, Keshav Pingali
Parallelization of Reordering Algorithms for Bandwidth and Wavefront Reduction. SC (2014)
Muhammad Amber Hassaan, Donald Nguyen, Keshav Pingali
Brief announcement: parallelization of asynchronous variational integrators forshared memory architectures. SPAA (2014)
Damian Goik, Konrad Jopek, Maciej Paszynski, Andrew Lenharth, Donald Nguyen, Keshav Pingali
Graph Grammar based Multi-thread Multi-frontal Direct Solver with Galois Scheduler. ICCS (2014)
Donald Nguyen, Andrew Lenharth, Keshav Pingali
Deterministic galois: on-demand, portable and parameterless. ASPLOS (2014)
Rashid Kaleem, Rajkishore Barik, Tatiana Shpeisman, Brian T. Lewis, Chunling Hu, Keshav Pingali
Adaptive heterogeneous scheduling for integrated GPUs. PACT (2014)
Donald Nguyen, Andrew Lenharth, Keshav Pingali
A lightweight infrastructure for graph analytics. SOSP (2013)
Dimitrios Prountzos, Keshav Pingali
Betweenness centrality: algorithms and implementations. PPOPP (2013)
Rupesh Nasre, Martin Burtscher, Keshav Pingali
Data-Driven Versus Topology-driven Irregular Computations on GPUs. IPDPS (2013)
Rupesh Nasre, Martin Burtscher, Keshav Pingali
Atomic-free irregular computations on GPUs. GPGPU@ASPLOS (2013)
Rupesh Nasre, Martin Burtscher, Keshav Pingali
Morph algorithms on GPUs. PPOPP (2013)
Mario Méndez-Lojo, Martin Burtscher, Keshav Pingali
A GPU implementation of inclusion-based points-to analysis. PPOPP (2012)
Martin Burtscher, Rupesh Nasre, Keshav Pingali
A quantitative study of irregular programs on GPUs. IISWC (2012)
Xin Sui, Tsung-Hsien Lee, Joyce Jiyoung Whang, Berkant Savas, Saral Jain, Keshav Pingali, Inderjit S. Dhillon
Parallel Clustered Low-Rank Approximation of Graphs and Its Application to Link Prediction. LCPC (2012)
Francesco Versaci, Keshav Pingali
Processor Allocation for Optimistic Parallelization of Irregular Programs CoRR (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Keshav Pingali