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2020 – today
- 2024
[c56]Chengyue Gong, Xiaocong Du, Bhargav Bhushanam, Lemeng Wu, Xingchao Liu, Dhruv Choudhary, Arun Kejariwal, Qiang Liu:
Layer Compression of Deep Networks with Straight Flows. AAAI 2024: 12181-12189- 2023
- [c55]Geonhwa Jeong, Bikash Sharma, Nick Terrell, Abhishek Dhanotia, Zhiwei Zhao, Niket Agarwal, Arun Kejariwal, Tushar Krishna:
Characterization of Data Compression in Datacenters. ISPASS 2023: 1-12 - [c54]Daochen Zha, Louis Feng, Liang Luo, Bhargav Bhushanam, Zirui Liu, Yusuo Hu, Jade Nie, Yuzhen Huang, Yuandong Tian, Arun Kejariwal, Xia Hu:
Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models. MLSys 2023 - [c53]Yuhao Li
, Abhishek Gupta, Alex Yang, Peinan Chen, Joey Pinto, Brian Karrer, Mayank Pundir, Maximilian Balandat, Arun Kejariwal, Benjamin C. Lee:
HHVM Performance Optimization for Large Scale Web Services. ICPE 2023: 137-148 - [i11]Daochen Zha, Louis Feng, Liang Luo, Bhargav Bhushanam, Zirui Liu, Yusuo Hu, Jade Nie, Yuzhen Huang, Yuandong Tian, Arun Kejariwal, Xia Hu:
Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models. CoRR abs/2305.01868 (2023) - 2022
- [c52]Zhongyi Lin, Louis Feng, Ehsan K. Ardestani, Jaewon Lee, John Lundell, Changkyu Kim, Arun Kejariwal, John D. Owens:
Building a Performance Model for Deep Learning Recommendation Model Training on GPUs. HIPC 2022: 48-58 - [c51]Geonhwa Jeong, Bikash Sharma, Nick Terrell, Abhishek Dhanotia, Zhiwei Zhao, Niket Agarwal, Arun Kejariwal, Tushar Krishna:
Understanding Data Compression in Warehouse-Scale Datacenter Services. ISPASS 2022: 221-223 - [c50]Zhongyi Lin, Louis Feng, Ehsan K. Ardestani, Jaewon Lee, John Lundell, Changkyu Kim, Arun Kejariwal, John D. Owens:
Building a Performance Model for Deep Learning Recommendation Model Training on GPUs. ISPASS 2022: 227-229 - [c49]Daochen Zha, Louis Feng, Bhargav Bhushanam, Dhruv Choudhary, Jade Nie, Yuandong Tian, Jay Chae, Yinbin Ma, Arun Kejariwal, Xia Hu:
AutoShard: Automated Embedding Table Sharding for Recommender Systems. KDD 2022: 4461-4471 - [c48]Chengyue Gong, Xiaocong Du, Dhruv Choudhary, Bhargav Bhushanam, Qiang Liu, Arun Kejariwal:
Harmless Transfer Learning for Item Embeddings. NAACL-HLT (Findings) 2022: 504-516 - [c47]Daochen Zha, Louis Feng, Qiaoyu Tan, Zirui Liu, Kwei-Herng Lai, Bhargav Bhushanam, Yuandong Tian, Arun Kejariwal, Xia Hu:
DreamShard: Generalizable Embedding Table Placement for Recommender Systems. NeurIPS 2022 - [c46]Mao Ye, Ruichen Jiang, Haoxiang Wang, Dhruv Choudhary, Xiaocong Du, Bhargav Bhushanam, Aryan Mokhtari, Arun Kejariwal, Qiang Liu:
Future gradient descent for adapting the temporal shifting data distribution in online recommendation systems. UAI 2022: 2256-2266 - [i10]Zhongyi Lin, Louis Feng, Ehsan K. Ardestani, Jaewon Lee, John Lundell, Changkyu Kim, Arun Kejariwal, John D. Owens:
Building a Performance Model for Deep Learning Recommendation Model Training on GPUs. CoRR abs/2201.07821 (2022) - [i9]Daochen Zha, Louis Feng, Bhargav Bhushanam, Dhruv Choudhary, Jade Nie, Yuandong Tian, Jay Chae, Yinbin Ma, Arun Kejariwal, Xia Hu:
AutoShard: Automated Embedding Table Sharding for Recommender Systems. CoRR abs/2208.06399 (2022) - [i8]Mao Ye, Ruichen Jiang, Haoxiang Wang, Dhruv Choudhary, Xiaocong Du, Bhargav Bhushanam, Aryan Mokhtari, Arun Kejariwal, Qiang Liu:
Future Gradient Descent for Adapting the Temporal Shifting Data Distribution in Online Recommendation Systems. CoRR abs/2209.01143 (2022) - [i7]Daochen Zha, Louis Feng, Qiaoyu Tan, Zirui Liu, Kwei-Herng Lai, Bhargav Bhushanam, Yuandong Tian, Arun Kejariwal, Xia Hu:
DreamShard: Generalizable Embedding Table Placement for Recommender Systems. CoRR abs/2210.02023 (2022) - 2021
- [c45]Xiaocong Du, Bhargav Bhushanam, Jiecao Yu, Dhruv Choudhary, Tianxiang Gao, Sherman Wong, Louis Feng, Jongsoo Park, Yu Cao, Arun Kejariwal:
Alternate Model Growth and Pruning for Efficient Training of Recommendation Systems. ICMLA 2021: 1421-1428 - [c44]Vipul Gupta, Dhruv Choudhary, Ping Tak Peter Tang, Xiaohan Wei, Xing Wang, Yuzhen Huang, Arun Kejariwal, Kannan Ramchandran, Michael W. Mahoney:
Training Recommender Systems at Scale: Communication-Efficient Model and Data Parallelism. KDD 2021: 2928-2936 - [i6]Xiaocong Du, Bhargav Bhushanam, Jiecao Yu, Dhruv Choudhary, Tianxiang Gao, Sherman Wong, Louis Feng, Jongsoo Park, Yu Cao, Arun Kejariwal:
Alternate Model Growth and Pruning for Efficient Training of Recommendation Systems. CoRR abs/2105.01064 (2021) - 2020
- [c43]Anurag Khandelwal, Arun Kejariwal, Karthikeyan Ramasamy:
Le Taureau: Deconstructing the Serverless Landscape & A Look Forward. SIGMOD Conference 2020: 2641-2650 - [i5]Mao Ye, Dhruv Choudhary, Jiecao Yu, Ellie Wen, Zeliang Chen, Jiyan Yang, Jongsoo Park, Qiang Liu, Arun Kejariwal:
Adaptive Dense-to-Sparse Paradigm for Pruning Online Recommendation System with Non-Stationary Data. CoRR abs/2010.08655 (2020) - [i4]Vipul Gupta, Dhruv Choudhary, Ping Tak Peter Tang, Xiaohan Wei, Xing Wang, Yuzhen Huang, Arun Kejariwal, Kannan Ramchandran, Michael W. Mahoney:
Fast Distributed Training of Deep Neural Networks: Dynamic Communication Thresholding for Model and Data Parallelism. CoRR abs/2010.08899 (2020)
2010 – 2019
- 2017
- [i3]Jordan Hochenbaum, Owen S. Vallis, Arun Kejariwal:
Automatic Anomaly Detection in the Cloud Via Statistical Learning. CoRR abs/1704.07706 (2017) - [i2]Arun Kejariwal, Sanjeev Kulkarni, Karthik Ramasamy:
Real Time Analytics: Algorithms and Systems. CoRR abs/1708.02621 (2017) - [i1]Dhruv Choudhary, Arun Kejariwal, Francois Orsini:
On the Runtime-Efficacy Trade-off of Anomaly Detection Techniques for Real-Time Streaming Data. CoRR abs/1710.04735 (2017) - 2016
- [c42]Nicholas A. James, Arun Kejariwal, David S. Matteson:
Leveraging cloud data to mitigate user experience from 'breaking bad'. IEEE BigData 2016: 3499-3508 - [c41]Arun Kejariwal, Francois Orsini:
On the Definition of Real-Time: Applications and Systems. Trustcom/BigDataSE/ISPA 2016: 2213-2220 - 2015
- [j6]Arun Kejariwal, Sanjeev Kulkarni, Karthik Ramasamy:
Real Time Analytics: Algorithms and Systems. Proc. VLDB Endow. 8(12): 2040-2041 (2015) - 2014
- [c40]Owen Vallis, Jordan Hochenbaum, Arun Kejariwal:
A Novel Technique for Long-Term Anomaly Detection in the Cloud. HotCloud 2014 - 2013
- [c39]Rosario Cammarota, Alexandru Nicolau, Alexander V. Veidenbaum, Arun Kejariwal, Debora Donato, Mukund Madhugiri:
On the Determination of Inlining Vectors for Program Optimization. CC 2013: 164-183 - [c38]Arun Kejariwal, Winston Lee, Owen Vallis, Jordan Hochenbaum, Bryce Yan:
Visual Analytics Framework for Cloud Infrastructure Data. CSE 2013: 886-893 - [c37]Arun Kejariwal:
A Tool for Practical Garbage Collection Analysis in the Cloud. IC2E 2013: 46-53 - [c36]Arun Kejariwal:
Techniques for Optimizing Cloud Footprint. IC2E 2013: 258-268 - [c35]Winston Lee, Arun Kejariwal, Bryce Yan:
Chiffchaff: Observability and analytics to achieve high availability. LDAV 2013: 119-120 - 2012
- [j5]Rohit Jalan, Arun Kejariwal:
Trin-Trin: Who's Calling? A Pin-Based Dynamic Call Graph Extraction Framework. Int. J. Parallel Program. 40(4): 410-442 (2012) - [c34]Rosario Cammarota, Arun Kejariwal, Debora Donato, Alexandru Nicolau, Alexander V. Veidenbaum:
Selective search of inlining vectors for program optimization. Conf. Computing Frontiers 2012: 257-260 - [c33]Arun Kejariwal:
Big Data Challenges: A Program Optimization Perspective. CGC 2012: 702-707 - 2011
- [c32]Rosario Cammarota, Arun Kejariwal, Paolo D'Alberto, Sapan Panigrahi, Alexander V. Veidenbaum, Alexandru Nicolau:
Pruning hardware evaluation space via correlation-driven application similarity analysis. Conf. Computing Frontiers 2011: 4 - [r1]Arun Kejariwal, Alexandru Nicolau:
Modulo Scheduling and Loop Pipelining. Encyclopedia of Parallel Computing 2011: 1158-1173 - 2010
- [c31]Arun Kejariwal, Milind Girkar, Xinmin Tian, Hideki Saito, Alexandru Nicolau, Alexander V. Veidenbaum, Utpal Banerjee, Constantine D. Polychronopoulos:
Exploitation of nested thread-level speculative parallelism on multi-core systems. Conf. Computing Frontiers 2010: 99-100 - [c30]Alexandru Nicolau, Arun Kejariwal:
How Many Threads to Spawn during Program Multithreading? LCPC 2010: 166-183 - [c29]Arun Kejariwal, Milind Girkar, Xinmin Tian, Hideki Saito, Alexandru Nicolau, Alexander V. Veidenbaum, Utpal Banerjee, Constantine D. Polychronopoulos:
On the efficacy of call graph-level thread-level speculation. WOSP/SIPEW 2010: 247-248
2000 – 2009
- 2009
- [j4]Arun Kejariwal, Alexander V. Veidenbaum, Alexandru Nicolau, Milind Girkar, Xinmin Tian, Hideki Saito:
On the exploitation of loop-level parallelism in embedded applications. ACM Trans. Embed. Comput. Syst. 8(2): 10:1-10:34 (2009) - [c28]Arun Kejariwal, Alexandru Nicolau, Alexander V. Veidenbaum, Utpal Banerjee, Constantine D. Polychronopoulos:
Efficient Scheduling of Nested Parallel Loops on Multi-Core Systems. ICPP 2009: 74-83 - [c27]Alexandru Nicolau, Guangqiang Li, Alexander V. Veidenbaum, Arun Kejariwal:
Synchronization optimizations for efficient execution on multi-cores. ICS 2009: 169-180 - [c26]Alexandru Nicolau, Guangqiang Li, Arun Kejariwal:
Techniques for efficient placement of synchronization primitives. PPoPP 2009: 199-208 - [c25]Arun Kejariwal, Calin Cascaval:
Parallelization spectroscopy: analysis of thread-level parallelism in hpc programs. PPoPP 2009: 293-294 - [c24]Darshan Desai, Gerolf Hoflehner, Arun Kejariwal, Daniel M. Lavery, Alexandru Nicolau, Alexander V. Veidenbaum, Cameron McNairy:
Performance Characterization of Itanium® 2-Based Montecito Processor. SPEC Benchmark Workshop 2009: 36-56 - [c23]Arun Kejariwal, Alexandru Nicolau, Utpal Banerjee, Alexander V. Veidenbaum, Constantine D. Polychronopoulos:
Cache-aware partitioning of multi-dimensional iteration spaces. SYSTOR 2009: 15 - 2008
- [j3]Jelena Trajkovic, Alexander V. Veidenbaum, Arun Kejariwal:
Improving SDRAM access energy efficiency for low-power embedded systems. ACM Trans. Embed. Comput. Syst. 7(3): 24:1-24:21 (2008) - [c22]Peng Wu, Arun Kejariwal, Calin Cascaval:
Compiler-Driven Dependence Profiling to Guide Program Parallelization. LCPC 2008: 232-248 - [c21]Arun Kejariwal, Alexandru Nicolau, Utpal Banerjee, Alexander V. Veidenbaum, Constantine D. Polychronopoulos:
Cache-aware iteration space partitioning. PPoPP 2008: 269-270 - [c20]Arun Kejariwal, Alexander V. Veidenbaum, Alexandru Nicolau, Xinmin Tian, Milind Girkar, Hideki Saito, Utpal Banerjee:
Comparative architectural characterization of SPEC CPU2000 and CPU2006 benchmarks on the intel® CoreTM 2 Duo processor. ICSAMOS 2008: 132-141 - 2007
- [j2]Weiyu Tang, Arun Kejariwal, Alexander V. Veidenbaum, Alexandru Nicolau:
A predictive decode filter cache for reducing power consumption in embedded processors. ACM Trans. Design Autom. Electr. Syst. 12(2): 14 (2007) - [c19]Arun Kejariwal, Xinmin Tian, Milind Girkar, Wei Li, Sergey Kozhukhov, Utpal Banerjee, Alexandru Nicolau, Alexander V. Veidenbaum, Constantine D. Polychronopoulos:
Tight analysis of the performance potential of thread speculation using spec CPU 2006. PPoPP 2007: 215-225 - [c18]Arun Kejariwal, Gerolf Hoflehner, Darshan Desai, Daniel M. Lavery, Alexandru Nicolau, Alexander V. Veidenbaum:
Comparative characterization of SPEC CPU2000 and CPU2006 on Itanium architecture. SIGMETRICS 2007: 361-362 - 2006
- [j1]Arun Kejariwal, Sumit Gupta, Alexandru Nicolau, Nikil D. Dutt, Rajesh K. Gupta:
Energy efficient watermarking on mobile devices using proxy-based partitioning. IEEE Trans. Very Large Scale Integr. Syst. 14(6): 625-636 (2006) - [c17]Arun Kejariwal, Alexander V. Veidenbaum, Alexandru Nicolau, Milind Girkar, Xinmin Tian, Hideki Saito:
Challenges in exploitation of loop parallelism in embedded applications. CODES+ISSS 2006: 173-180 - [c16]Milind Girkar, Arun Kejariwal, Xinmin Tian, Hideki Saito, Alexandru Nicolau, Alexander V. Veidenbaum, Constantine D. Polychronopoulos:
Probablistic Self-Scheduling. Euro-Par 2006: 253-264 - [c15]Arun Kejariwal, Alexandru Nicolau, Constantine D. Polychronopoulos:
History-aware Self-Scheduling. ICPP 2006: 185-192 - [c14]Arun Kejariwal, Xinmin Tian, Wei Li, Milind Girkar, Sergey Kozhukhov, Hideki Saito, Utpal Banerjee, Alexandru Nicolau, Alexander V. Veidenbaum, Constantine D. Polychronopoulos:
On the performance potential of different types of speculative thread-level parallelism: The DL version of this paper includes corrections that were not made available in the printed proceedings. ICS 2006: 24 - [c13]Arun Kejariwal, Hideki Saito, Xinmin Tian, Milind Girkar, Wei Li, Utpal Banerjee, Alexandru Nicolau, Constantine D. Polychronopoulos:
Lightweight lock-free synchronization methods for multithreading. ICS 2006: 361-371 - [c12]Basant Kumar Dwivedi, Arun Kejariwal, M. Balakrishnan, Anshul Kumar:
Rapid Resource-Constrained Hardware Performance Estimation. IEEE International Workshop on Rapid System Prototyping 2006: 40-46 - [c11]Arun Kejariwal, Alexandru Nicolau, Hideki Saito, Xinmin Tian, Milind Girkar, Utpal Banerjee, Constantine D. Polychronopoulos:
A general approach for partitioning N-dimensional parallel nested loops with conditionals. SPAA 2006: 49-58 - 2005
- [c10]Ana Azevedo, Arun Kejariwal, Alexander V. Veidenbaum, Alexandru Nicolau:
High performance annotation-aware JVM for Java cards. EMSOFT 2005: 52-61 - [c9]Arun Kejariwal, Sumit Gupta, Alexandru Nicolau, Nikil D. Dutt, Rajesh Gupta:
Energy Analysis of Multimedia Watermarking on Mobile Handheld Devices. ESTIMedia 2005: 33-38 - [c8]Arun Kejariwal, Alexandru Nicolau, Constantine D. Polychronopoulos:
Enhanced Loop Coalescing: A Compiler Technique for Transforming Non-uniform Iteration Spaces. ISHPC 2005: 17-32 - [c7]Arun Kejariwal, Alexandru Nicolau:
An Efficient Load Balancing Scheme for Grid-based High Performance Scientific Computing. ISPDC 2005: 217-225 - [c6]Arun Kejariwal, Alexandru Nicolau, Constantine D. Polychronopoulos:
An Efficient Approach for Self-scheduling Parallel Loops on Multiprogrammed Parallel Computers. LCPC 2005: 441-449 - [c5]Arun Kejariwal, Alexandru Nicolau, Utpal Banerjee, Constantine D. Polychronopoulos:
A novel approach for partitioning iteration spaces with variable densities. PPoPP 2005: 120-131 - 2004
- [c4]Arun Kejariwal, Sumit Gupta, Alexandru Nicolau, Nikil D. Dutt, Rajesh Gupta:
Proxy-based task partitioning of watermarking algorithms for reducing energy consumption in mobile devices. DAC 2004: 556-561 - [c3]Arun Kejariwal, Paolo D'Alberto, Alexandru Nicolau, Constantine D. Polychronopoulos:
A Geometric Approach for Partitioning N-Dimensional Non-rectangular Iteration Spaces. LCPC 2004: 102-116 - [c2]Prabhat Mishra, Arun Kejariwal, Nikil D. Dutt:
Synthesis-driven Exploration of Pipelined Embedded Processors. VLSI Design 2004: 921-926 - 2003
- [c1]Prabhat Mishra, Arun Kejariwal, Nikil D. Dutt:
Rapid Exploration of Pipelined Processors through Automatic Generation of Synthesizable RTL Models. IEEE International Workshop on Rapid System Prototyping 2003: 226-232
Coauthor Index
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last updated on 2024-10-25 20:08 CEST by the dblp team
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