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Kunal Agrawal
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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
Scheduling Out-Trees Online to Optimize Maximum Flow. SPAA 2024: 77-88 - [c98]Kunal Agrawal
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
Responsive Parallelism with Synchronization. Proc. ACM Program. Lang. 7(PLDI): 712-735 (2023) - [j18]Alessandro V. Papadopoulos
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
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
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
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
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
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
Minimizing Execution Duration in the Presence of Learning-Enabled Components. DATE 2020: 1644-1649 - [c82]Kunal Agrawal
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
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
Assessing Clinicians' Reliance on Computational Aids for Acute Stroke Diagnosis. PervasiveHealth 2020: 146-155 - [c78]Stefan K. Muller, Kyle Singer
Responsive parallelism with futures and state. PLDI 2020: 577-591 - [c77]Jinghao Sun, Jing Li, Zhishan Guo
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
Elastic Scheduling of Parallel Real-Time Tasks with Discrete Utilizations. RTNS 2020: 117-127 - [c74]Kunal Agrawal, Sanjoy K. Baruah, Zhishan Guo
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
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
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
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
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
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
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
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
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
Locality-Aware Dynamic Task Graph Scheduling. ICPP 2017: 70-80 - [c51]Vishwajith Ramesh, Kunal Agrawal, Brett C. Meyer, Gert Cauwenberghs
Exploring stroke-associated hemiparesis assessment with support vector machines. PervasiveHealth 2017: 464-467 - [c50]Bin Ren, Sriram Krishnamoorthy
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
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
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
Analysis of Federated and Global Scheduling for Parallel Real-Time Tasks. ECRTS 2014: 85-96 - [c37]David Ferry, Gregory Bunting
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
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
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
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
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
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
Deadlock-avoidance for streaming applications with split-join structure: Two case studies. ASAP 2010: 333-336 - [c17]Kunal Agrawal, Anne Benoit
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
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
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
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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