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2020 – today
- 2024
[c150]Hochan Lee
, Roshan Dathathri, Keshav Pingali:
Kimbap: A Node-Property Map System for Distributed Graph Analytics. ASPLOS (2) 2024: 566-581- [c149]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: 204-218 - [c148]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: 1147-1149 - 2023
- [j49]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: 36-49 (2023) - [i21]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 abs/2310.03755 (2023) - 2022
- [j48]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: 214-224 (2022) - [j47]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: 114308 (2022) - [c147]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: 586-591 - [c146]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: 838-847 - [c145]Sepideh Maleki, Donya Saless, Dennis P. Wall, Keshav Pingali:
HyperNetVec: Fast and Scalable Hierarchical Embedding for Hypergraphs. NetSci-X 2022: 169-183 - [c144]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: 51:1-51:15 - 2021
- [j46]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): 27-37 (2021) - [j45]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): 3857-3880 (2021) - [j44]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): 47-60 (2021) - [c143]Xuhao Chen, Roshan Dathathri, Gurbinder Gill, Loc Hoang, Keshav Pingali:
Sandslash: a two-level framework for efficient graph pattern mining. ICS 2021: 378-391 - [c142]Sepideh Maleki, Udit Agarwal, Martin Burtscher, Keshav Pingali:
BiPart: a parallel and deterministic hypergraph partitioner. PPoPP 2021: 161-174 - [i20]Ian Henriksen, Bozhi You, Keshav Pingali:
Exploiting Asynchronous Priority Scheduling in Parallel Eikonal Solvers. CoRR abs/2103.05694 (2021) - [i19]Sepideh Maleki, Dennis P. Wall, Keshav Pingali:
NetVec: A Scalable Hypergraph Embedding System. CoRR abs/2103.09660 (2021) - [i18]Loc Hoang, Udit Agarwal, Gurbinder Gill, Roshan Dathathri, Abhik Seal, Brian Martin, Keshav Pingali:
Optimizing Graph Transformer Networks with Graph-based Techniques. CoRR abs/2106.08500 (2021) - [i17]Yan Pei, Keshav Pingali:
Sonic: A Sampling-based Online Controller for Streaming Applications. CoRR abs/2108.10701 (2021) - 2020
- [j43]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): 1190-1205 (2020) - [j42]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): 1304-1318 (2020) - [j41]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): 18:1-18:27 (2020) - [c141]Yan Pei, Swarnendu Biswas, Donald S. Fussell, Keshav Pingali:
A Methodology for Principled Approximation in Visual SLAM. PACT 2020: 373-386 - [c140]Wenmian Hua, Yi-Shan Lu, Keshav Pingali, Rajit Manohar:
Cyclone: A Static Timing and Power Engine for Asynchronous Circuits. ASYNC 2020: 11-19 - [c139]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: 133-148 - [c138]Ariful Azad, Mohsen Mahmoudi Aznaveh, Scott Beamer, Mark P. Blanco, Jinhao Chen, Luke D'Alessandro, Roshan Dathathri, Timothy A. 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: 216-227 - [c137]Hochan Lee, David C. Wong, Loc Hoang, Roshan Dathathri, Gurbinder Gill, Vishwesh Jatala, David Kuck, Keshav Pingali:
A Study of APIs for Graph Analytics Workloads. IISWC 2020: 228-239 - [c136]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: 84-94 - [i16]Ashirbad Mishra, Sathish Vadhiyar, Rupesh Nasre, Keshav Pingali:
A Fine-Grained Hybrid CPU-GPU Algorithm for Betweenness Centrality Computations. CoRR abs/2008.05718 (2020) - [i15]Xuhao Chen, Roshan Dathathri, Gurbinder Gill, Loc Hoang, Keshav Pingali:
Sandslash: A Two-Level Framework for Efficient Graph Pattern Mining. CoRR abs/2011.03135 (2020) - [i14]Sepideh Maleki, Udit Agarwal, Martin Burtscher, Keshav Pingali:
BiPart: A Parallel and Deterministic Multilevel Hypergraph Partitioner. CoRR abs/2012.13618 (2020)
2010 – 2019
- 2019
- [j40]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) - [j39]Yan Pei, Swarnendu Biswas, Donald S. Fussell, Keshav Pingali:
An elementary introduction to Kalman filtering. Commun. ACM 62(11): 122-133 (2019) - [j38]Ian Henriksen, Gianfranco Bilardi, Keshav Pingali:
Derivative grammars: a symbolic approach to parsing with derivatives. Proc. ACM Program. Lang. 3(OOPSLA): 127:1-127:28 (2019) - [j37]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): 73-82 (2019) - [c135]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: 15-28 - [c134]Yan Pei, Swarnendu Biswas, Donald S. Fussell, Keshav Pingali:
SLAMBooster: An Application-Aware Online Controller for Approximation in Dense SLAM. PACT 2019: 296-310 - [c133]Roshan Dathathri, Gurbinder Gill, Loc Hoang, Keshav Pingali:
Phoenix: A Substrate for Resilient Distributed Graph Analytics. ASPLOS 2019: 615-630 - [c132]Loc Hoang, Vishwesh Jatala, Xuhao Chen, Udit Agarwal, Roshan Dathathri, Gurbinder Gill, Keshav Pingali:
DistTC: High Performance Distributed Triangle Counting. HPEC 2019: 1-7 - [c131]Jiayuan He, Martin Burtscher, Rajit Manohar, Keshav Pingali:
SPRoute: A Scalable Parallel Negotiation-based Global Router. ICCAD 2019: 1-8 - [c130]Keshav Pingali:
GrAPL Keynote 1. IPDPS Workshops 2019: 220 - [c129]Loc Hoang, Roshan Dathathri, Gurbinder Gill, Keshav Pingali:
CuSP: A Customizable Streaming Edge Partitioner for Distributed Graph Analytics. IPDPS 2019: 439-450 - [c128]Loc Hoang, Matteo Pontecorvi, Roshan Dathathri, Gurbinder Gill, Bozhi You, Keshav Pingali, Vijaya Ramachandran:
A round-efficient distributed betweenness centrality algorithm. PPoPP 2019: 272-286 - [i13]Gurbinder Gill, Roshan Dathathri, Loc Hoang, Ramesh Peri, Keshav Pingali:
Single Machine Graph Analytics on Massive Datasets Using Intel Optane DC Persistent Memory. CoRR abs/1904.07162 (2019) - [i12]Xuhao Chen, Roshan Dathathri, Gurbinder Gill, Keshav Pingali:
Pangolin: An Efficient and Flexible Graph Mining System on CPU and GPU. CoRR abs/1911.06969 (2019) - [i11]Vishwesh Jatala, Loc Hoang, Roshan Dathathri, Gurbinder Gill, V. Krishna Nandivada, Keshav Pingali:
An Adaptive Load Balancer For Graph Analytical Applications on GPUs. CoRR abs/1911.09135 (2019) - [i10]Leszek Siwik, Marcin Los, Adrian Klusek, Keshav Pingali, Witold Dzwinel, Maciej Paszynski:
Supermodeling of tumor dynamics with parallel isogeometric analysis solver. CoRR abs/1912.12836 (2019) - 2018
- [j36]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): 569-582 (2018) - [j35]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): 321-334 (2018) - [c127]Gurbinder Gill, Roshan Dathathri, Loc Hoang, Andrew Lenharth, Keshav Pingali:
Abelian: A Compiler for Graph Analytics on Distributed, Heterogeneous Platforms. Euro-Par 2018: 249-264 - [c126]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: 87 - [c125]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: 980-989 - [c124]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: 752-768 - [p2]Yi-Shan Lu, Keshav Pingali:
Can Parallel Programming Revolutionize EDA Tools? Advanced Logic Synthesis 2018: 21-41 - [i9]Yan Pei, Swarnendu Biswas, Donald S. Fussell, Keshav Pingali:
SLAMBooster: An Application-aware Controller for Approximation in SLAM. CoRR abs/1811.01516 (2018) - 2017
- [j34]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: 99-116 (2017) - [c123]Donald Nguyen, Keshav Pingali:
What Scalable Programs Need from Transactional Memory. ASPLOS 2017: 105-118 - [c122]Chad Voegele, Yi-Shan Lu, Sreepathi Pai, Keshav Pingali:
Parallel triangle counting and k-truss identification using graph-centric methods. HPEC 2017: 1-7 - [c121]Tal Ben-Nun, Michael Sutton, Sreepathi Pai, Keshav Pingali:
Groute: An Asynchronous Multi-GPU Programming Model for Irregular Computations. PPoPP 2017: 235-248 - [i8]Swarnendu Biswas, Yan Pei, Donald S. Fussell, Keshav Pingali:
Capri: A Control System for Approximate Programs. CoRR abs/1706.00767 (2017) - [i7]Yan Pei, Swarnendu Biswas, Donald S. Fussell, Keshav Pingali:
An Elementary Introduction to Kalman Filtering. CoRR abs/1710.04055 (2017) - [i6]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) - 2016
- [j33]Andrew Lenharth, Donald Nguyen, Keshav Pingali:
Parallel graph analytics. Commun. ACM 59(5): 78-87 (2016) - [c120]Xin Sui, Andrew Lenharth, Donald S. Fussell, Keshav Pingali:
Proactive Control of Approximate Programs. ASPLOS 2016: 607-621 - [c119]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: 865-874 - [c118]Anna Paszynska, Maciej Wozniak, Andrew Lenharth, Donald Nguyen, Keshav Pingali:
Hypergraph Grammars in Non-stationary hp-adaptive Finite Element Method. ICCS 2016: 875-886 - [c117]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: 32:1-32:14 - [c116]Rashid Kaleem, Anand Venkat, Sreepathi Pai, Mary W. Hall, Keshav Pingali:
Synchronization Trade-Offs in GPU Implementations of Graph Algorithms. IPDPS 2016: 514-523 - [c115]Sreepathi Pai, Keshav Pingali:
A compiler for throughput optimization of graph algorithms on GPUs. OOPSLA 2016: 1-19 - [c114]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: 39:1-39:2 - [i5]Sreepathi Pai, Keshav Pingali:
Lowering IrGL to CUDA. CoRR abs/1607.05707 (2016) - [i4]Michael Sutton, Tal Ben-Nun, Amnon Barak, Sreepathi Pai, Keshav Pingali:
Adaptive Work-Efficient Connected Components on the GPU. CoRR abs/1612.01178 (2016) - 2015
- [j32]Andrew Lenharth, Keshav Pingali:
Scaling Runtimes for Irregular Algorithms to Large-Scale NUMA Systems. Computer 48(8): 35-44 (2015) - [j31]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: 303024:1-303024:18 (2015) - [j30]Keshav Pingali, J. Ramanujam, P. Sadayappan:
Introduction to the Special Issue on PPoPP'12. ACM Trans. Parallel Comput. 1(2): 9:1-9:2 (2015) - [c113]Muhammad Amber Hassaan, Donald D. Nguyen, Keshav Pingali:
Kinetic Dependence Graphs. ASPLOS 2015: 457-471 - [c112]Keshav Pingali, Gianfranco Bilardi:
A Graphical Model for Context-Free Grammar Parsing. CC 2015: 3-27 - [c111]Andrew Lenharth, Donald Nguyen, Keshav Pingali:
Priority Queues Are Not Good Concurrent Priority Schedulers. Euro-Par 2015: 209-221 - [c110]Joyce Jiyoung Whang, Andrew Lenharth, Inderjit S. Dhillon, Keshav Pingali:
Scalable Data-Driven PageRank: Algorithms, System Issues, and Lessons Learned. Euro-Par 2015: 438-450 - [c109]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: 2744-2748 - [c108]Akshatha Bhat, Andrew Lenharth, Donald Nguyen, Qing Yi, Keshav Pingali:
Automatic Tuning of Task Scheduling Policies on Multicore Architectures. PARCO 2015: 11-21 - [c107]Dimitrios Prountzos, Roman Manevich, Keshav Pingali:
Synthesizing parallel graph programs via automated planning. PLDI 2015: 533-544 - [c106]Rashid Kaleem, Sreepathi Pai, Keshav Pingali:
Stochastic gradient descent on GPUs. GPGPU@PPoPP 2015: 81-89 - [c105]Keshav Pingali:
Parallel program = operator + schedule + parallel data structure. SAMOS 2015: iii - 2014
- [c104]Rashid Kaleem, Rajkishore Barik, Tatiana Shpeisman, Brian T. Lewis, Chunling Hu, Keshav Pingali:
Adaptive heterogeneous scheduling for integrated GPUs. PACT 2014: 151-162 - [c103]Donald Nguyen, Andrew Lenharth, Keshav Pingali:
Deterministic galois: on-demand, portable and parameterless. ASPLOS 2014: 499-512 - [c102]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: 960-969 - [c101]Keshav Pingali:
Author retrospective for synthesizing transformations for locality enhancement of imperfectly-nested loop nests. ICS 25th Anniversary 2014: 56-58 - [c100]Keshav Pingali:
High-speed graph analytics with the galois system. PPAA@PPoPP 2014: 41-42 - [c99]Konstantinos I. Karantasis, Andrew Lenharth, Donald Nguyen, María Jesús Garzarán, Keshav Pingali:
Parallelization of Reordering Algorithms for Bandwidth and Wavefront Reduction. SC 2014: 921-932 - [c98]Muhammad Amber Hassaan, Donald Nguyen, Keshav Pingali:
Brief announcement: parallelization of asynchronous variational integrators forshared memory architectures. SPAA 2014: 214-216 - [e7]Michael F. P. O'Boyle, Keshav Pingali:
ACM SIGPLAN Conference on Programming Language Design and Implementation, PLDI '14, Edinburgh, United Kingdom - June 09 - 11, 2014. ACM 2014, ISBN 978-1-4503-2784-8 [contents] - 2013
- [c97]Rupesh Nasre, Martin Burtscher, Keshav Pingali:
Atomic-free irregular computations on GPUs. GPGPU@ASPLOS 2013: 96-107 - [c96]Rupesh Nasre, Martin Burtscher, Keshav Pingali:
Data-Driven Versus Topology-driven Irregular Computations on GPUs. IPDPS 2013: 463-474 - [c95]Dimitrios Prountzos, Keshav Pingali:
Betweenness centrality: algorithms and implementations. PPoPP 2013: 35-46 - [c94]Rupesh Nasre, Martin Burtscher, Keshav Pingali:
Morph algorithms on GPUs. PPoPP 2013: 147-156 - [c93]Donald Nguyen, Andrew Lenharth, Keshav Pingali:
A lightweight infrastructure for graph analytics. SOSP 2013: 456-471 - 2012
- [c92]Francesco Versaci, Keshav Pingali:
Processor Allocation for Optimistic Parallelization of Irregular Programs. ICCSA (1) 2012: 1-14 - [c91]Martin Burtscher, Rupesh Nasre, Keshav Pingali:
A quantitative study of irregular programs on GPUs. IISWC 2012: 141-151 - [c90]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: 76-95 - [c89]Dimitrios Prountzos, Roman Manevich, Keshav Pingali:
Elixir: a system for synthesizing concurrent graph programs. OOPSLA 2012: 375-394 - [c88]Mario Méndez-Lojo, Martin Burtscher, Keshav Pingali:
A GPU implementation of inclusion-based points-to analysis. PPoPP 2012: 107-116 - [c87]Diogo Telmo Neves, Tandy J. Warnow, João Luís Sobral, Keshav Pingali:
Parallelizing SuperFine. SAC 2012: 1361-1367 - [i3]Francesco Versaci, Keshav Pingali:
Processor Allocation for Optimistic Parallelization of Irregular Programs. CoRR abs/1201.3778 (2012) - 2011
- [c86]Donald Nguyen, Keshav Pingali:
Synthesizing concurrent schedulers for irregular algorithms. ASPLOS 2011: 333-344 - [c85]Keshav Pingali, Donald Nguyen, Milind Kulkarni, Martin Burtscher, Muhammad Amber Hassaan, Rashid Kaleem, Tsung-Hsien Lee, Andrew Lenharth, Roman Manevich, Mario Méndez-Lojo, Dimitrios Prountzos, Xin Sui:
The tao of parallelism in algorithms. PLDI 2011: 12-25 - [c84]Milind Kulkarni, Donald Nguyen, Dimitrios Prountzos, Xin Sui, Keshav Pingali:
Exploiting the commutativity lattice. PLDI 2011: 542-555 - [c83]Pedro Monteiro, Miguel P. Monteiro, Keshav Pingali:
Parallelizing irregular algorithms: a pattern language. PLoP 2011: 3:1-3:18 - [c82]Dimitrios Prountzos, Roman Manevich, Keshav Pingali, Kathryn S. McKinley:
A shape analysis for optimizing parallel graph programs. POPL 2011: 159-172 - [c81]Muhammad Amber Hassaan, Martin Burtscher, Keshav Pingali:
Ordered vs. unordered: a comparison of parallelism and work-efficiency in irregular algorithms. PPoPP 2011: 3-12 - [c80]Francesco Versaci, Keshav Pingali:
Brief announcement: processor allocation for optimistic parallelization of irregular programs. SPAA 2011: 261-262 - [r1]Keshav Pingali: