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2020 – today
- 2024
[j20]Vatsa S. Patel, Kunal Agrawal, Samah Saeed Baraheem, Amira Yousif, Tam V. Nguyen
:
Image de-photobombing benchmark. Multim. Tools Appl. 83(29): 73553-73568 (2024)- [c100]Vatsa S. Patel, Kunal Agrawal, Tam V. Nguyen:
A Comprehensive Analysis of Object Detectors in Adverse Weather Conditions. CISS 2024: 1-6 - [c99]Kunal Agrawal, Benjamin Moseley, Heather Newman, Kirk Pruhs:
Scheduling Out-Trees Online to Optimize Maximum Flow. SPAA 2024: 77-88 - [c98]Kunal Agrawal, William Kuszmaul, Zhe Wang, Jinhao Zhao:
Distributed Load Balancing in the Face of Reappearance Dependencies. SPAA 2024: 321-330 - [e7]Kunal Agrawal, Erez Petrank:
Proceedings of the 36th ACM Symposium on Parallelism in Algorithms and Architectures, SPAA 2024, Nantes, France, June 17-21, 2024. ACM 2024 [contents] - 2023
- [j19]Stefan K. Muller, Kyle Singer, Devyn Terra Keeney, Andrew Neth, Kunal Agrawal, I-Ting Angelina Lee, Umut A. Acar:
Responsive Parallelism with Synchronization. Proc. ACM Program. Lang. 7(PLDI): 712-735 (2023) - [j18]Alessandro V. Papadopoulos, Kunal Agrawal, Enrico Bini, Sanjoy K. Baruah:
Feedback-based resource management for multi-threaded applications. Real Time Syst. 59(1): 35-68 (2023) - [j17]Tarek F. Abdelzaher, Kunal Agrawal, Sanjoy K. Baruah, Alan Burns, Robert I. Davis, Zhishan Guo, Yigong Hu:
Scheduling IDK classifiers with arbitrary dependences to minimize the expected time to successful classification. Real Time Syst. 59(3): 348-407 (2023) - [c97]Kunal Agrawal, Sanjoy K. Baruah, Michael A. Bender, Alberto Marchetti-Spaccamela:
The Safe and Effective Use of Low-Assurance Predictions in Safety-Critical Systems. ECRTS 2023: 3:1-3:19 - [c96]Zhe Wang, Jinhao Zhao, Kunal Agrawal, He Liu, Meng Xu, Jing Li:
Provably Good Randomized Strategies for Data Placement in Distributed Key-Value Stores. PPoPP 2023: 27-38 - [c95]Kunal Agrawal, Sanjoy K. Baruah, Pontus Ekberg:
Rethinking Tractability for Schedulability Analysis. RTSS 2023: 1-12 - [c94]Kyle Singer, Kunal Agrawal, I-Ting Angelina Lee:
An Efficient Scheduler for Task-Parallel Interactive Applications. SPAA 2023: 27-38 - [e6]Kunal Agrawal, Julian Shun:
Proceedings of the 35th ACM Symposium on Parallelism in Algorithms and Architectures, SPAA 2023, Orlando, FL, USA, June 17-19, 2023. ACM 2023, ISBN 978-1-4503-9545-8 [contents] - [i9]Stefan K. Muller, Kyle Singer, Devyn Terra Keeney, Andrew Neth, Kunal Agrawal, I-Ting Angelina Lee, Umut A. Acar:
Responsive Parallelism with Synchronization. CoRR abs/2304.03753 (2023) - 2022
- [j16]Zhe Wang, Chen Xu, Kunal Agrawal, Jing Li:
Adaptive scheduling of multiprogrammed dynamic-multithreading applications. J. Parallel Distributed Comput. 162: 76-88 (2022) - [c93]Yifan Xu, Anchengcheng Zhou, Grace Q. Yin, Kunal Agrawal, I-Ting Angelina Lee, Tao B. Schardl:
Efficient Access History for Race Detection. ALENEX 2022: 117-130 - [c92]Yifan Xu, Anchengcheng Zhou, Kunal Agrawal, I-Ting Angelina Lee:
PINT: Parallel INTerval-Based Race Detector. IPDPS 2022: 850-861 - [c91]Daniel DeLayo, Kenny Zhang, Kunal Agrawal, Michael A. Bender, Jonathan W. Berry, Rathish Das, Benjamin Moseley, Cynthia A. Phillips:
Automatic HBM Management: Models and Algorithms. SPAA 2022: 147-159 - [c90]Kunal Agrawal, Michael A. Bender, Rathish Das, William Kuszmaul, Enoch Peserico, Michele Scquizzato:
Online Parallel Paging with Optimal Makespan. SPAA 2022: 205-216 - [p1]Jing Li, Kunal Agrawal, Chenyang Lu:
Parallel Real-Time Scheduling. Handbook of Real-Time Computing 2022: 447-467 - [e5]Kunal Agrawal:
3rd Symposium on Algorithmic Principles of Computer Systems, APOCS 2022, Virtual Conference / Alexandria, Virginia, USA, January 12, 2022. SIAM 2022, ISBN 978-1-61197-705-9 [contents] - [e4]Jaejin Lee, Kunal Agrawal, Michael F. Spear:
PPoPP '22: 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Seoul, Republic of Korea, April 2 - 6, 2022. ACM 2022, ISBN 978-1-4503-9204-4 [contents] - [e3]Kunal Agrawal, I-Ting Angelina Lee:
SPAA '22: 34th ACM Symposium on Parallelism in Algorithms and Architectures, Philadelphia, PA, USA, July 11 - 14, 2022. ACM 2022, ISBN 978-1-4503-9146-7 [contents] - 2021
- [c89]Zhe Wang, Kunal Agrawal, Jeremy T. Fineman:
Sub-Linear Overhead in Static Schedules for Fault-Tolerant Transmission. RTSS 2021: 405-417 - [c88]Kunal Agrawal, Michael A. Bender, Rathish Das, William Kuszmaul, Enoch Peserico, Michele Scquizzato:
Tight Bounds for Parallel Paging and Green Paging. SODA 2021: 3022-3041 - [c87]Yifan Xu, Kunal Agrawal, I-Ting Angelina Lee:
Efficient Parallel Determinacy Race Detection for Structured Futures. SPAA 2021: 398-409 - [c86]Yifan Xu, Anchengcheng Zhou, Grace Q. Yin, Kunal Agrawal, I-Ting Angelina Lee, Tao B. Schardl:
Efficient Access History for Race Detection. SPAA 2021: 449-451 - [e2]Kunal Agrawal, Yossi Azar:
SPAA '21: 33rd ACM Symposium on Parallelism in Algorithms and Architectures, Virtual Event, USA, 6-8 July, 2021. ACM 2021, ISBN 978-1-4503-8070-6 [contents] - 2020
- [j15]Kunal Agrawal, Sanjoy K. Baruah, Pontus Ekberg, Jing Li:
Optimal scheduling of measurement-based parallel real-time tasks. Real Time Syst. 56(3): 247-253 (2020) - [c85]Kyle Singer, Kunal Agrawal, I-Ting Angelina Lee:
Scheduling I/O Latency-Hiding Futures in Task-Parallel Platforms. APOCS 2020: 147-161 - [c84]Vishwajith Ramesh, Stephanie Kim, Hong-An Nguyen, Kunal Agrawal, Brett C. Meyer, Nadir Weibel:
Developing Aids to Assist Acute Stroke Diagnosis. CHI Extended Abstracts 2020: 1-7 - [c83]Kunal Agrawal, Alan Burns, Abhishek Singh, Sanjoy K. Baruah:
Minimizing Execution Duration in the Presence of Learning-Enabled Components. DATE 2020: 1644-1649 - [c82]Kunal Agrawal, Sanjoy K. Baruah, Alan Burns:
The Safe and Effective Use of Learning-Enabled Components in Safety-Critical Systems. ECRTS 2020: 7:1-7:20 - [c81]Zhe Wang, Chen Xu, Kunal Agrawal, Jing Li:
AMCilk: A Framework for Multiprogrammed Parallel Workloads. HiPC 2020: 212-222 - [c80]Kunal Agrawal, Sanjoy K. Baruah, Zhishan Guo, Jing Li:
The Safe and Effective Application of Probabilistic Techniques in Safety-Critical Systems. ICCAD 2020: 24:1-24:9 - [c79]Vishwajith Ramesh, Andrew Nguyen, Kunal Agrawal, Brett C. Meyer, Gert Cauwenberghs, Nadir Weibel:
Assessing Clinicians' Reliance on Computational Aids for Acute Stroke Diagnosis. PervasiveHealth 2020: 146-155 - [c78]Stefan K. Muller, Kyle Singer, Noah Goldstein, Umut A. Acar, Kunal Agrawal, I-Ting Angelina Lee:
Responsive parallelism with futures and state. PLDI 2020: 577-591 - [c77]Jinghao Sun, Jing Li, Zhishan Guo, An Zou, Xuan Zhang, Kunal Agrawal, Sanjoy K. Baruah:
Real-Time Scheduling upon a Host-Centric Acceleration Architecture with Data Offloading. RTAS 2020: 56-69 - [c76]Son Dinh, Christopher D. Gill, Kunal Agrawal:
Efficient Deterministic Federated Scheduling for Parallel Real-Time Tasks. RTCSA 2020: 1-10 - [c75]James Orr, Johnny Condori Uribe, Christopher D. Gill, Sanjoy K. Baruah, Kunal Agrawal, Shirley Dyke, Arun Prakash, Iain Bate, Christopher Wong, Sabina Adhikari:
Elastic Scheduling of Parallel Real-Time Tasks with Discrete Utilizations. RTNS 2020: 117-127 - [c74]Kunal Agrawal, Sanjoy K. Baruah, Zhishan Guo, Jing Li, Sudharsan Vaidhun:
Hard-Real-Time Routing in Probabilistic Graphs to Minimize Expected Delay. RTSS 2020: 63-75 - [c73]Kunal Agrawal, Michael A. Bender, Jeremy T. Fineman, Seth Gilbert, Maxwell Young:
Contention Resolution with Message Deadlines. SPAA 2020: 23-35 - [c72]Rathish Das, Kunal Agrawal, Michael A. Bender, Jonathan W. Berry, Benjamin Moseley, Cynthia A. Phillips:
How to Manage High-Bandwidth Memory Automatically. SPAA 2020: 187-199 - [c71]Kyle Singer, Noah Goldstein, Stefan K. Muller, Kunal Agrawal, I-Ting Angelina Lee, Umut A. Acar:
Priority Scheduling for Interactive Applications. SPAA 2020: 465-477 - [c70]Kunal Agrawal, Michael A. Bender, Rathish Das, William Kuszmaul, Enoch Peserico, Michele Scquizzato:
Green Paging and Parallel Paging. SPAA 2020: 493-495 - [i8]Stefan K. Muller, Kyle Singer, Noah Goldstein, Umut A. Acar, Kunal Agrawal, I-Ting Angelina Lee:
Responsive Parallelism with Futures and State. CoRR abs/2004.02870 (2020)
2010 – 2019
- 2019
- [j14]James Orr, Christopher D. Gill, Kunal Agrawal, Jing Li, Sanjoy K. Baruah:
Elastic Scheduling for Parallel Real-Time Systems. Leibniz Trans. Embed. Syst. 6(1): 05:1-05:14 (2019) - [j13]Robert Utterback, Kunal Agrawal, I-Ting Angelina Lee, Milind Kulkarni:
Processor-Oblivious Record and Replay. ACM Trans. Parallel Comput. 6(4): 20:1-20:28 (2019) - [j12]Bin Ren, Shruthi Balakrishna, Youngjoon Jo, Sriram Krishnamoorthy, Kunal Agrawal, Milind Kulkarni:
Extracting SIMD Parallelism from Recursive Task-Parallel Programs. ACM Trans. Parallel Comput. 6(4): 24:1-24:37 (2019) - [c69]Kunal Agrawal, I-Ting Angelina Lee, Jing Li, Kefu Lu, Benjamin Moseley:
Practically Efficient Scheduler for Minimizing Average Flow Time of Parallel Jobs. IPDPS 2019: 134-144 - [c68]Robert Utterback, Kunal Agrawal, Jeremy T. Fineman, I-Ting Angelina Lee:
Efficient race detection with futures. PPoPP 2019: 340-354 - [c67]Kunal Agrawal, Sanjoy K. Baruah, Alan Burns:
Fault-tolerant transmission of messages of differing criticalities across a shared communication medium. RTNS 2019: 41-49 - [c66]Kunal Agrawal, Sanjoy K. Baruah:
Adaptive Real-Time Routing in Polynomial Time. RTSS 2019: 287-298 - [c65]Kunal Agrawal, Sanjoy K. Baruah, Alan Burns:
Semi-Clairvoyance in Mixed-Criticality Scheduling. RTSS 2019: 458-468 - [c64]Kyle Singer, Kunal Agrawal, I-Ting Angelina Lee:
Reduced I/O Latency with Futures (Brief Announcement). SPAA 2019: 165-167 - [i7]Robert Utterback, Kunal Agrawal, Jeremy T. Fineman, I-Ting Angelina Lee:
Efficient Race Detection with Futures. CoRR abs/1901.00622 (2019) - [i6]Son Dinh, Christopher D. Gill, Kunal Agrawal:
Analysis of Global Fixed-Priority Scheduling for Generalized Sporadic DAG Tasks. CoRR abs/1905.05119 (2019) - [i5]Kyle Singer, Kunal Agrawal, I-Ting Angelina Lee:
Reduced I/O Latency with Futures. CoRR abs/1906.08239 (2019) - [i4]Kunal Agrawal, Enrico Bini, Giovanni Stea:
Analysis, Design, and Control of Predictable Interconnected Systems (Dagstuhl Seminar 19101). Dagstuhl Reports 9(3): 1-15 (2019) - 2018
- [j11]Lin Ma, Roger D. Chamberlain, Kunal Agrawal, Chen Tian, Ziang Hu:
Analysis of classic algorithms on highly-threaded many-core architectures. Future Gener. Comput. Syst. 82: 528-543 (2018) - [j10]Kunal Agrawal, I-Ting Angelina Lee, Michael F. Spear:
Introduction to Special Issue on SPAA'15. ACM Trans. Parallel Comput. 4(4): 16:1-16:2 (2018) - [j9]Son Dinh, Jing Li, Kunal Agrawal, Christopher D. Gill, Chenyang Lu:
Blocking Analysis for Spin Locks in Real-Time Parallel Tasks. IEEE Trans. Parallel Distributed Syst. 29(4): 789-802 (2018) - [c63]Irmina Gradus-Pizlo, Kunal Agrawal, Edward J. Delp, Zygmunt Pizlo:
Development of screening echocardiogram for detection of asymptomatic left ventricular dysfunction. Computational Imaging 2018 - [c62]Kunal Agrawal, Sanjoy K. Baruah:
A Measurement-Based Model for Parallel Real-Time Tasks. ECRTS 2018: 5:1-5:19 - [c61]Kunal Agrawal, Sanjoy K. Baruah:
Intractability Issues in Mixed-Criticality Scheduling. ECRTS 2018: 11:1-11:21 - [c60]Kunal Agrawal, Seth Gilbert:
The Power to Schedule a Parallel Program. IPDPS 2018: 182-193 - [c59]Kunal Agrawal, Jing Li, Kefu Lu, Benjamin Moseley:
Scheduling Parallelizable Jobs Online to Maximize Throughput. LATIN 2018: 755-776 - [c58]Vishwajith Ramesh, Kunal Agrawal, Brett C. Meyer, Gert Cauwenberghs, Nadir Weibel:
Stroke-Associated Hemiparesis Detection Using Body Joints and Support Vector Machines. PervasiveHealth 2018: 55-58 - [c57]Yifan Xu, I-Ting Angelina Lee, Kunal Agrawal:
Efficient parallel determinacy race detection for two-dimensional dags. PPoPP 2018: 368-380 - [c56]James Orr, Christopher D. Gill, Kunal Agrawal, Sanjoy K. Baruah, Christian Cianfarani, Phyllis Ang, Christopher Wong:
Elasticity of Workloads and Periods of Parallel Real-Time Tasks. RTNS 2018: 61-71 - [c55]Niklas Ueter, Georg von der Brüggen, Jian-Jia Chen, Jing Li, Kunal Agrawal:
Reservation-Based Federated Scheduling for Parallel Real-Time Tasks. RTSS 2018: 482-494 - [c54]Kunal Agrawal, Joseph Devietti, Jeremy T. Fineman, I-Ting Angelina Lee, Robert Utterback, Changming Xu:
Race Detection and Reachability in Nearly Series-Parallel DAGs. SODA 2018: 156-171 - [c53]Kunal Agrawal, Seth Gilbert, Wei Quan Lim:
Parallel Working-Set Search Structures. SPAA 2018: 321-332 - [i3]Kunal Agrawal, Seth Gilbert, Wei Quan Lim:
Parallel Working-Set Search Structures. CoRR abs/1805.05787 (2018) - 2017
- [j8]Jing Li, David Ferry, Shaurya Ahuja, Kunal Agrawal, Christopher D. Gill, Chenyang Lu:
Mixed-criticality federated scheduling for parallel real-time tasks. Real Time Syst. 53(5): 760-811 (2017) - [c52]Jordyn Maglalang, Sriram Krishnamoorthy, Kunal Agrawal:
Locality-Aware Dynamic Task Graph Scheduling. ICPP 2017: 70-80 - [c51]Vishwajith Ramesh, Kunal Agrawal, Brett C. Meyer, Gert Cauwenberghs, Nadir Weibel:
Exploring stroke-associated hemiparesis assessment with support vector machines. PervasiveHealth 2017: 464-467 - [c50]Bin Ren, Sriram Krishnamoorthy, Kunal Agrawal, Milind Kulkarni:
Exploiting Vector and Multicore Parallelism for Recursive, Data- and Task-Parallel Programs. PPoPP 2017: 117-130 - [c49]Robert Utterback, Kunal Agrawal, I-Ting Angelina Lee, Milind Kulkarni:
Processor-Oblivious Record and Replay. PPoPP 2017: 145-161 - [c48]Kunal Agrawal, Jing Li, Kefu Lu, Benjamin Moseley:
Brief Announcement: Scheduling Parallelizable Jobs Online to Maximize Throughput. SPAA 2017: 87-89 - [i2]Niklas Ueter, Georg von der Brüggen, Jian-Jia Chen, Jing Li, Kunal Agrawal:
Reservation-Based Federated Scheduling for Parallel Real-Time Tasks. CoRR abs/1712.05040 (2017) - 2016
- [c47]Jing Li, Kunal Agrawal, Sameh Elnikety, Yuxiong He, I-Ting Angelina Lee, Chenyang Lu, Kathryn S. McKinley:
Work stealing for interactive services to meet target latency. PPoPP 2016: 14:1-14:13 - [c46]Jing Li, David Ferry, Shaurya Ahuja, Kunal Agrawal, Christopher D. Gill, Chenyang Lu:
Mixed-Criticality Federated Scheduling for Parallel Real-Time Tasks. RTAS 2016: 173-184 - [c45]Jing Li, Son Dinh, Kevin Kieselbach, Kunal Agrawal, Christopher D. Gill, Chenyang Lu:
Randomized Work Stealing for Large Scale Soft Real-Time Systems. RTSS 2016: 203-214 - [c44]Kunal Agrawal, Jing Li, Kefu Lu, Benjamin Moseley:
Scheduling Parallel DAG Jobs Online to Minimize Average Flow Time. SODA 2016: 176-189 - [c43]Robert Utterback, Kunal Agrawal, Jeremy T. Fineman, I-Ting Angelina Lee:
Provably Good and Practically Efficient Parallel Race Detection for Fork-Join Programs. SPAA 2016: 83-94 - [c42]Kunal Agrawal, Jing Li, Kefu Lu, Benjamin Moseley:
Scheduling Parallelizable Jobs Online to Minimize the Maximum Flow Time. SPAA 2016: 195-205 - 2015
- [j7]Jing Li, Zheng Luo, David Ferry, Kunal Agrawal, Christopher D. Gill, Chenyang Lu:
Global EDF scheduling for parallel real-time tasks. Real Time Syst. 51(4): 395-439 (2015) - [c41]Alina Simion Sbîrlea, Kunal Agrawal, Vivek Sarkar:
Elastic Tasks: Unifying Task Parallelism and SPMD Parallelism with an Adaptive Runtime. Euro-Par 2015: 491-503 - [c40]Bin Ren, Youngjoon Jo, Sriram Krishnamoorthy, Kunal Agrawal, Milind Kulkarni:
Efficient execution of recursive programs on commodity vector hardware. PLDI 2015: 509-520 - [e1]Guy E. Blelloch, Kunal Agrawal:
Proceedings of the 27th ACM on Symposium on Parallelism in Algorithms and Architectures, SPAA 2015, Portland, OR, USA, June 13-15, 2015. ACM 2015, ISBN 978-1-4503-3588-1 [contents] - 2014
- [j6]Lin Ma, Kunal Agrawal, Roger D. Chamberlain:
A memory access model for highly-threaded many-core architectures. Future Gener. Comput. Syst. 30: 202-215 (2014) - [j5]Abusayeed Saifullah, David Ferry, Jing Li, Kunal Agrawal, Chenyang Lu, Christopher D. Gill:
Parallel Real-Time Scheduling of DAGs. IEEE Trans. Parallel Distributed Syst. 25(12): 3242-3252 (2014) - [c39]Lin Ma, Roger D. Chamberlain, Kunal Agrawal:
Performance modeling for highly-threaded many-core GPUs. ASAP 2014: 84-91 - [c38]Jing Li, Jian-Jia Chen, Kunal Agrawal, Chenyang Lu, Christopher D. Gill, Abusayeed Saifullah:
Analysis of Federated and Global Scheduling for Parallel Real-Time Tasks. ECRTS 2014: 85-96 - [c37]David Ferry, Gregory Bunting, Amin Maghareh, Arun Prakash, Shirley Dyke, Kunal Agrawal, Christopher D. Gill, Chenyang Lu:
Real-time system support for hybrid structural simulation. EMSOFT 2014: 25:1-25:40 - [c36]Kunal Agrawal, Jordyn Maglalang, Jeremy T. Fineman:
Cache-conscious scheduling of streaming pipelines on parallel machines with private caches. HiPC 2014: 1-12 - [c35]Lin Ma, Roger D. Chamberlain, Kunal Agrawal:
Analysis of classic algorithms on GPUs. HPCS 2014: 65-73 - [c34]Matt J. Kusner, Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal:
Stochastic Neighbor Compression. ICML 2014: 622-630 - [c33]Peng Li, Kunal Agrawal, Jeremy Buhler, Roger D. Chamberlain:
Orchestrating safe streaming computations with precise control. ICPADS 2014: 1017-1022 - [c32]Kunal Agrawal, Jeremy T. Fineman, Brendan Sheridan, Jim Sukha, Robert Utterback:
Provably good scheduling for parallel programs that use data structures through implicit batching. PPoPP 2014: 389-390 - [c31]Lin Ma, Kunal Agrawal, Roger D. Chamberlain:
Theoretical analysis of classic algorithms on highly-threaded many-core GPUs. PPoPP 2014: 391-392 - [c30]Jing Li, Kunal Agrawal, Christopher D. Gill, Chenyang Lu:
Federated scheduling for stochastic parallel real-time tasks. RTCSA 2014: 1-10 - [c29]Mehmet Can Kurt, Sriram Krishnamoorthy, Kunal Agrawal, Gagan Agrawal:
Fault-Tolerant Dynamic Task Graph Scheduling. SC 2014: 719-730 - [c28]Kunal Agrawal, Jeremy T. Fineman:
Brief announcement: cache-oblivious scheduling of streaming pipelines. SPAA 2014: 79-81 - [c27]Kunal Agrawal, Jeremy T. Fineman, Kefu Lu, Brendan Sheridan, Jim Sukha, Robert Utterback:
Provably good scheduling for parallel programs that use data structures through implicit batching. SPAA 2014: 84-95 - [i1]Stephen Tyree, Jacob R. Gardner, Kilian Q. Weinberger, Kunal Agrawal, John Tran:
Parallel Support Vector Machines in Practice. CoRR abs/1404.1066 (2014) - 2013
- [j4]Abusayeed Saifullah, Jing Li, Kunal Agrawal, Chenyang Lu, Christopher D. Gill:
Multi-core real-time scheduling for generalized parallel task models. Real Time Syst. 49(4): 404-435 (2013) - [c26]Jing Li, Kunal Agrawal, Chenyang Lu, Christopher D. Gill:
Outstanding Paper Award: Analysis of Global EDF for Parallel Tasks. ECRTS 2013: 3-13 - [c25]Peng Li, Kunal Agrawal, Jeremy Buhler, Roger D. Chamberlain:
Adding data parallelism to streaming pipelines for throughput optimization. HiPC 2013: 20-29 - [c24]David Ferry, Jing Li, Mahesh Mahadevan, Kunal Agrawal, Christopher D. Gill, Chenyang Lu:
A real-time scheduling service for parallel tasks. IEEE Real-Time and Embedded Technology and Applications Symposium 2013: 261-272 - 2012
- [j3]Kunal Agrawal, Anne Benoit, Fanny Dufossé, Yves Robert:
Mapping Filtering Streaming Applications. Algorithmica 62(1-2): 258-308 (2012) - [c23]Lin Ma, Kunal Agrawal, Roger D. Chamberlain:
A Memory Access Model for Highly-threaded Many-core Architectures. ICPADS 2012: 339-347 - [c22]Jeremy D. Buhler, Kunal Agrawal, Peng Li, Roger D. Chamberlain:
Efficient deadlock avoidance for streaming computation with filtering. PPoPP 2012: 235-246 - [c21]Kunal Agrawal, Jeremy T. Fineman, Jordan Krage, Charles E. Leiserson, Sivan Toledo:
Cache-conscious scheduling of streaming applications. SPAA 2012: 236-245 - 2011
- [c20]Abusayeed Saifullah, Kunal Agrawal, Chenyang Lu, Christopher D. Gill:
Multi-core Real-Time Scheduling for Generalized Parallel Task Models. RTSS 2011: 217-226 - [c19]Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal, Jennifer Paykin:
Parallel boosted regression trees for web search ranking. WWW 2011: 387-396 - 2010
- [c18]Peng Li, Kunal Agrawal, Jeremy Buhler, Roger D. Chamberlain, Joseph M. Lancaster:
Deadlock-avoidance for streaming applications with split-join structure: Two case studies. ASAP 2010: 333-336 - [c17]Kunal Agrawal, Anne Benoit, Loic Magnan, Yves Robert:
Scheduling algorithms for linear workflow optimization. IPDPS 2010: 1-12 - [c16]Kunal Agrawal, Charles E. Leiserson, Jim Sukha:
Executing task graphs using work-stealing. IPDPS 2010: 1-12 - [c15]Kunal Agrawal, Charles E. Leiserson, Jim Sukha:
Helper locks for fork-join parallel programming. PPoPP 2010: 245-256 - [c14]Kunal Agrawal, I-Ting Angelina Lee, Jim Sukha:
Brief announcement: serial-parallel reciprocity in dynamic multithreaded languages. SPAA 2010: 186-188 - [c13]Peng Li, Kunal Agrawal, Jeremy Buhler, Roger D. Chamberlain:
Deadlock avoidance for streaming computations with filtering. SPAA 2010: 243-252
2000 – 2009
- 2009
- [b1]Kunal Agrawal:
Scheduling and synchronization for multicore concurrency platforms. Massachusetts Institute of Technology, Cambridge, MA, USA, 2009 - [j2]Kunal Agrawal, Michael A. Bender, Jeremy T. Fineman:
The Worst Page-Replacement Policy. Theory Comput. Syst. 44(2): 175-185 (2009) - [c12]Kunal Agrawal, I-Ting Angelina Lee, Jim Sukha:
Safe open-nested transactions through ownership. PPoPP 2009: 151-162 - [c11]Kunal Agrawal, Anne Benoit, Fanny Dufossé, Yves Robert:
Mapping filtering streaming applications with communication costs. SPAA 2009: 19-28 - 2008
- [j1]Kunal Agrawal, Charles E. Leiserson, Yuxiong He, Wen-Jing Hsu:
Adaptive work-stealing with parallelism feedback. ACM Trans. Comput. Syst. 26(3): 7:1-7:32 (2008) - [c10]Kunal Agrawal, Anne Benoit, Yves Robert:
Mapping Linear Workflows with Computation/Communication Overlap. ICPADS 2008: 195-202 - [c9]Kunal Agrawal, Jeremy T. Fineman, Jim Sukha:
Nested parallelism in transactional memory. PPoPP 2008: 163-174 - [c8]Kunal Agrawal, I-Ting Angelina Lee, Jim Sukha:
Safer open-nested transactions through ownership. PPoPP 2008: 291-292 - [c7]Kunal Agrawal, I-Ting Angelina Lee, Jim Sukha:
Safe open-nested transactions through ownership. SPAA 2008: 110-112 - 2007
- [c6]Kunal Agrawal, Michael A. Bender, Jeremy T. Fineman:
The Worst Page-Replacement Policy. FUN 2007: 135-145 - [c5]Kunal Agrawal, Yuxiong He, Wen-Jing Hsu, Charles E. Leiserson:
Adaptive Scheduling with Parallelism Feedback. IPDPS 2007: 1-7 - [c4]Kunal Agrawal, Yuxiong He, Charles E. Leiserson:
Adaptive work stealing with parallelism feedback. PPoPP 2007: 112-120 - 2006
- [c3]Kunal Agrawal, Charles E. Leiserson, Jim Sukha:
Memory models for open-nested transactions. Memory System Performance and Correctness 2006: 70-81 - [c2]Kunal Agrawal, Yuxiong He, Charles E. Leiserson:
An Empirical Evaluation ofWork Stealing with Parallelism Feedback. ICDCS 2006: 19 - [c1]Kunal Agrawal, Yuxiong He, Wen-Jing Hsu, Charles E. Leiserson:
Adaptive scheduling with parallelism feedback. PPoPP 2006: 100-109
Coauthor Index
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
.
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last updated on 2024-12-10 21:46 CET by the dblp team
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