Arun Kejariwal

75 papers A* 6A 4B 15C 4Misc 5Journal 18Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BLENDER: Blended Text Embeddings and Diffusion Residuals for Intra-Class Image Synthesis in Deep Metric Learning. CoRR Jan Niklas Kolf, Ozan Tezcan, Justin Theiss, Hyung Jun Kim, Wentao Bao, Bhargav Bhushanam, Khushi Gupta, Arun Kejariwal, Naser Damer, Fadi Boutros
2024	A*	`conf`	Layer Compression of Deep Networks with Straight Flows. AAAI Chengyue Gong, Xiaocong Du, Bhargav Bhushanam, Lemeng Wu, Xingchao Liu, Dhruv Choudhary, Arun Kejariwal, Qiang Liu
2023	B	`conf`	Characterization of Data Compression in Datacenters. ISPASS Geonhwa Jeong, Bikash Sharma, Nick Terrell, Abhishek Dhanotia, Zhiwei Zhao, Niket Agarwal, Arun Kejariwal, Tushar Krishna
2023	B	`conf`	HHVM Performance Optimization for Large Scale Web Services. ICPE Yuhao Li, Abhishek Gupta, Alex Yang, Peinan Chen, Joey Pinto, Brian Karrer, Mayank Pundir, Maximilian Balandat, Arun Kejariwal, Benjamin C. Lee
2023	—	`conf`	Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models. MLSys Daochen Zha, Louis Feng, Liang Luo, Bhargav Bhushanam, Zirui Liu, Yusuo Hu, Jade Nie, Yuzhen Huang, Yuandong Tian, Arun Kejariwal, Xia Hu
2023	J	`jnl`	Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models. CoRR Daochen Zha, Louis Feng, Liang Luo, Bhargav Bhushanam, Zirui Liu, Yusuo Hu, Jade Nie, Yuzhen Huang, Yuandong Tian, Arun Kejariwal, Xia Hu
2022	A*	`conf`	AutoShard: Automated Embedding Table Sharding for Recommender Systems. KDD Daochen Zha, Louis Feng, Bhargav Bhushanam, Dhruv Choudhary, Jade Nie, Yuandong Tian, Jay Chae, Yinbin Ma, Arun Kejariwal, Xia Hu
2022	J	`jnl`	AutoShard: Automated Embedding Table Sharding for Recommender Systems. CoRR Daochen Zha, Louis Feng, Bhargav Bhushanam, Dhruv Choudhary, Jade Nie, Yuandong Tian, Jay Chae, Yinbin Ma, Arun Kejariwal, Xia Hu
2022	Misc	`conf`	Building a Performance Model for Deep Learning Recommendation Model Training on GPUs. HIPC Zhongyi Lin, Louis Feng, Ehsan K. Ardestani, Jaewon Lee, John Lundell, Changkyu Kim, Arun Kejariwal, John D. Owens
2022	B	`conf`	Building a Performance Model for Deep Learning Recommendation Model Training on GPUs. ISPASS Zhongyi Lin, Louis Feng, Ehsan K. Ardestani, Jaewon Lee, John Lundell, Changkyu Kim, Arun Kejariwal, John D. Owens
2022	J	`jnl`	Building a Performance Model for Deep Learning Recommendation Model Training on GPUs. CoRR Zhongyi Lin, Louis Feng, Ehsan K. Ardestani, Jaewon Lee, John Lundell, Changkyu Kim, Arun Kejariwal, John D. Owens
2022	A*	`conf`	DreamShard: Generalizable Embedding Table Placement for Recommender Systems. NeurIPS Daochen Zha, Louis Feng, Qiaoyu Tan, Zirui Liu, Kwei-Herng Lai, Bhargav Bhushanam, Yuandong Tian, Arun Kejariwal, Xia Hu
2022	J	`jnl`	DreamShard: Generalizable Embedding Table Placement for Recommender Systems. CoRR Daochen Zha, Louis Feng, Qiaoyu Tan, Zirui Liu, Kwei-Herng Lai, Bhargav Bhushanam, Yuandong Tian, Arun Kejariwal, Xia Hu
2022	J	`jnl`	Future Gradient Descent for Adapting the Temporal Shifting Data Distribution in Online Recommendation Systems. CoRR Mao Ye, Ruichen Jiang, Haoxiang Wang, Dhruv Choudhary, Xiaocong Du, Bhargav Bhushanam, Aryan Mokhtari, Arun Kejariwal, Qiang Liu
2022	A	`conf`	Future gradient descent for adapting the temporal shifting data distribution in online recommendation systems. UAI Mao Ye, Ruichen Jiang, Haoxiang Wang, Dhruv Choudhary, Xiaocong Du, Bhargav Bhushanam, Aryan Mokhtari, Arun Kejariwal, Qiang Liu
2022	—	`conf`	Harmless Transfer Learning for Item Embeddings. NAACL-HLT (Findings) Chengyue Gong, Xiaocong Du, Dhruv Choudhary, Bhargav Bhushanam, Qiang Liu, Arun Kejariwal
2022	B	`conf`	Understanding Data Compression in Warehouse-Scale Datacenter Services. ISPASS Geonhwa Jeong, Bikash Sharma, Nick Terrell, Abhishek Dhanotia, Zhiwei Zhao, Niket Agarwal, Arun Kejariwal, Tushar Krishna
2021	C	`conf`	Alternate Model Growth and Pruning for Efficient Training of Recommendation Systems. ICMLA Xiaocong Du, Bhargav Bhushanam, Jiecao Yu, Dhruv Choudhary, Tianxiang Gao, Sherman Wong, Louis Feng, Jongsoo Park, Yu Cao, Arun Kejariwal
2021	J	`jnl`	Alternate Model Growth and Pruning for Efficient Training of Recommendation Systems. CoRR Xiaocong Du, Bhargav Bhushanam, Jiecao Yu, Dhruv Choudhary, Tianxiang Gao, Sherman Wong, Louis Feng, Jongsoo Park, Yu Cao, Arun Kejariwal
2021	A*	`conf`	Training Recommender Systems at Scale: Communication-Efficient Model and Data Parallelism. KDD Vipul Gupta, Dhruv Choudhary, Ping Tak Peter Tang, Xiaohan Wei, Xing Wang, Yuzhen Huang, Arun Kejariwal, Kannan Ramchandran, Michael W. Mahoney
2020	J	`jnl`	Adaptive Dense-to-Sparse Paradigm for Pruning Online Recommendation System with Non-Stationary Data. CoRR Mao Ye, Dhruv Choudhary, Jiecao Yu, Ellie Wen, ZeLiang Chen, Jiyan Yang, Jongsoo Park, Qiang Liu, Arun Kejariwal
2020	J	`jnl`	Fast Distributed Training of Deep Neural Networks: Dynamic Communication Thresholding for Model and Data Parallelism. CoRR Vipul Gupta, Dhruv Choudhary, Ping Tak Peter Tang, Xiaohan Wei, Xing Wang, Yuzhen Huang, Arun Kejariwal, Kannan Ramchandran, Michael W. Mahoney
2020	—	`conf`	Le Taureau: Deconstructing the Serverless Landscape & A Look Forward. SIGMOD Conference Anurag Khandelwal, Arun Kejariwal, Karthikeyan Ramasamy
2017	J	`jnl`	Automatic Anomaly Detection in the Cloud Via Statistical Learning. CoRR Jordan Hochenbaum, Owen S. Vallis, Arun Kejariwal
2017	J	`jnl`	On the Runtime-Efficacy Trade-off of Anomaly Detection Techniques for Real-Time Streaming Data. CoRR Dhruv Choudhary, Arun Kejariwal, Francois Orsini
2017	J	`jnl`	Real Time Analytics: Algorithms and Systems. CoRR Arun Kejariwal, Sanjeev Kulkarni, Karthik Ramasamy
2016	—	`conf`	Leveraging cloud data to mitigate user experience from 'breaking bad'. IEEE BigData Nicholas A. James, Arun Kejariwal, David S. Matteson
2016	—	`conf`	On the Definition of Real-Time: Applications and Systems. Trustcom/BigDataSE/ISPA Arun Kejariwal, Francois Orsini
2015	J	`jnl`	Real Time Analytics: Algorithms and Systems. Proc. VLDB Endow. Arun Kejariwal, Sanjeev Kulkarni, Karthik Ramasamy
2014	—	`conf`	A Novel Technique for Long-Term Anomaly Detection in the Cloud. HotCloud Owen Vallis, Jordan Hochenbaum, Arun Kejariwal
2013	B	`conf`	A Tool for Practical Garbage Collection Analysis in the Cloud. IC2E Arun Kejariwal
2013	—	`conf`	Chiffchaff: Observability and analytics to achieve high availability. LDAV Winston Lee, Arun Kejariwal, Bryce Yan
2013	B	`conf`	On the Determination of Inlining Vectors for Program Optimization. CC Rosario Cammarota, Alexandru Nicolau, Alexander V. Veidenbaum, Arun Kejariwal, Debora Donato, Mukund Madhugiri
2013	B	`conf`	Techniques for Optimizing Cloud Footprint. IC2E Arun Kejariwal
2013	—	`conf`	Visual Analytics Framework for Cloud Infrastructure Data. CSE Arun Kejariwal, Winston Lee, Owen Vallis, Jordan Hochenbaum, Bryce Yan
2012	—	`conf`	Big Data Challenges: A Program Optimization Perspective. CGC Arun Kejariwal
2012	—	`conf`	Selective search of inlining vectors for program optimization. Conf. Computing Frontiers Rosario Cammarota, Arun Kejariwal, Debora Donato, Alexandru Nicolau, Alexander V. Veidenbaum
2012	J	`jnl`	Trin-Trin: Who's Calling? A Pin-Based Dynamic Call Graph Extraction Framework. Int. J. Parallel Program. Rohit Jalan, Arun Kejariwal
2011	—	`ch.`	Modulo Scheduling and Loop Pipelining. Encyclopedia of Parallel Computing Arun Kejariwal, Alexandru Nicolau
2011	—	`conf`	Pruning hardware evaluation space via correlation-driven application similarity analysis. Conf. Computing Frontiers Rosario Cammarota, Arun Kejariwal, Paolo D'Alberto, Sapan Panigrahi, Alexander V. Veidenbaum, Alexandru Nicolau
2010	—	`conf`	Exploitation of nested thread-level speculative parallelism on multi-core systems. Conf. Computing Frontiers Arun Kejariwal, Milind Girkar, Xinmin Tian, Hideki Saito, Alexandru Nicolau, Alexander V. Veidenbaum, Utpal Banerjee, Constantine D. Polychronopoulos
2010	—	`conf`	How Many Threads to Spawn during Program Multithreading? LCPC Alexandru Nicolau, Arun Kejariwal
2010	—	`conf`	On the efficacy of call graph-level thread-level speculation. WOSP/SIPEW Arun Kejariwal, Milind Girkar, Xinmin Tian, Hideki Saito, Alexandru Nicolau, Alexander V. Veidenbaum, Utpal Banerjee, Constantine D. Polychronopoulos
2009	Misc	`conf`	Cache-aware partitioning of multi-dimensional iteration spaces. SYSTOR Arun Kejariwal, Alexandru Nicolau, Utpal Banerjee, Alexander V. Veidenbaum, Constantine D. Polychronopoulos
2009	B	`conf`	Efficient Scheduling of Nested Parallel Loops on Multi-Core Systems. ICPP Arun Kejariwal, Alexandru Nicolau, Alexander V. Veidenbaum, Utpal Banerjee, Constantine D. Polychronopoulos
2009	J	`jnl`	On the exploitation of loop-level parallelism in embedded applications. ACM Trans. Embed. Comput. Syst. Arun Kejariwal, Alexander V. Veidenbaum, Alexandru Nicolau, Milind Girkar, Xinmin Tian, Hideki Saito
2009	B	`conf`	Parallelization spectroscopy: analysis of thread-level parallelism in hpc programs. PPoPP Arun Kejariwal, Calin Cascaval
2009	—	`conf`	Performance Characterization of Itanium® 2-Based Montecito Processor. SPEC Benchmark Workshop Darshan Desai, Gerolf Hoflehner, Arun Kejariwal, Daniel M. Lavery, Alexandru Nicolau, Alexander V. Veidenbaum, Cameron McNairy
2009	A	`conf`	Synchronization optimizations for efficient execution on multi-cores. ICS Alexandru Nicolau, Guangqiang Li, Alexander V. Veidenbaum, Arun Kejariwal
2009	B	`conf`	Techniques for efficient placement of synchronization primitives. PPoPP Alexandru Nicolau, Guangqiang Li, Arun Kejariwal
2008	B	`conf`	Cache-aware iteration space partitioning. PPoPP Arun Kejariwal, Alexandru Nicolau, Utpal Banerjee, Alexander V. Veidenbaum, Constantine D. Polychronopoulos
2008	—	`conf`	Comparative architectural characterization of SPEC CPU2000 and CPU2006 benchmarks on the intel® Core ICSAMOS Arun Kejariwal, Alexander V. Veidenbaum, Alexandru Nicolau, Xinmin Tian, Milind Girkar, Hideki Saito, Utpal Banerjee
2008	—	`conf`	Compiler-Driven Dependence Profiling to Guide Program Parallelization. LCPC Peng Wu, Arun Kejariwal, Calin Cascaval
2008	J	`jnl`	Improving SDRAM access energy efficiency for low-power embedded systems. ACM Trans. Embed. Comput. Syst. Jelena Trajkovic, Alexander V. Veidenbaum, Arun Kejariwal
2007	J	`jnl`	A predictive decode filter cache for reducing power consumption in embedded processors. ACM Trans. Design Autom. Electr. Syst. Weiyu Tang, Arun Kejariwal, Alexander V. Veidenbaum, Alexandru Nicolau
2007	A*	`conf`	Comparative characterization of SPEC CPU2000 and CPU2006 on Itanium architecture. SIGMETRICS Arun Kejariwal, Gerolf Hoflehner, Darshan Desai, Daniel M. Lavery, Alexandru Nicolau, Alexander V. Veidenbaum
2007	B	`conf`	Tight analysis of the performance potential of thread speculation using spec CPU 2006. PPoPP Arun Kejariwal, Xinmin Tian, Milind Girkar, Wei Li, Sergey Kozhukhov, Utpal Banerjee, Alexandru Nicolau, Alexander V. Veidenbaum, Constantine D. Polychronopoulos
2006	B	`conf`	A general approach for partitioning N-dimensional parallel nested loops with conditionals. SPAA Arun Kejariwal, Alexandru Nicolau, Hideki Saito, Xinmin Tian, Milind Girkar, Utpal Banerjee, Constantine D. Polychronopoulos
2006	Misc	`conf`	Challenges in exploitation of loop parallelism in embedded applications. CODES+ISSS Arun Kejariwal, Alexander V. Veidenbaum, Alexandru Nicolau, Milind Girkar, Xinmin Tian, Hideki Saito
2006	J	`jnl`	Energy efficient watermarking on mobile devices using proxy-based partitioning. IEEE Trans. Very Large Scale Integr. Syst. Arun Kejariwal, Sumit Gupta, Alexandru Nicolau, Nikil D. Dutt, Rajesh K. Gupta
2006	B	`conf`	History-aware Self-Scheduling. ICPP Arun Kejariwal, Alexandru Nicolau, Constantine D. Polychronopoulos
2006	A	`conf`	Lightweight lock-free synchronization methods for multithreading. ICS Arun Kejariwal, Hideki Saito, Xinmin Tian, Milind Girkar, Wei Li, Utpal Banerjee, Alexandru Nicolau, Constantine D. Polychronopoulos
2006	A	`conf`	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 Arun Kejariwal, Xinmin Tian, Wei Li, Milind Girkar, Sergey Kozhukhov, Hideki Saito, Utpal Banerjee, Alexandru Nicolau, Alexander V. Veidenbaum, Constantine D. Polychronopoulos
2006	—	`conf`	Probablistic Self-Scheduling. Euro-Par Milind Girkar, Arun Kejariwal, Xinmin Tian, Hideki Saito, Alexandru Nicolau, Alexander V. Veidenbaum, Constantine D. Polychronopoulos
2006	C	`conf`	Rapid Resource-Constrained Hardware Performance Estimation. IEEE International Workshop on Rapid System Prototyping Basant Kumar Dwivedi, Arun Kejariwal, M. Balakrishnan, Anshul Kumar
2005	B	`conf`	A novel approach for partitioning iteration spaces with variable densities. PPoPP Arun Kejariwal, Alexandru Nicolau, Utpal Banerjee, Constantine D. Polychronopoulos
2005	—	`conf`	An Efficient Approach for Self-scheduling Parallel Loops on Multiprogrammed Parallel Computers. LCPC Arun Kejariwal, Alexandru Nicolau, Constantine D. Polychronopoulos
2005	C	`conf`	An Efficient Load Balancing Scheme for Grid-based High Performance Scientific Computing. ISPDC Arun Kejariwal, Alexandru Nicolau
2005	—	`conf`	Energy Analysis of Multimedia Watermarking on Mobile Handheld Devices. ESTIMedia Arun Kejariwal, Sumit Gupta, Alexandru Nicolau, Nikil D. Dutt, Rajesh Gupta
2005	—	`conf`	Enhanced Loop Coalescing: A Compiler Technique for Transforming Non-uniform Iteration Spaces. ISHPC Arun Kejariwal, Alexandru Nicolau, Constantine D. Polychronopoulos
2005	Misc	`conf`	High performance annotation-aware JVM for Java cards. EMSOFT Ana Azevedo, Arun Kejariwal, Alexander V. Veidenbaum, Alexandru Nicolau
2004	—	`conf`	A Geometric Approach for Partitioning N-Dimensional Non-rectangular Iteration Spaces. LCPC Arun Kejariwal, Paolo D'Alberto, Alexandru Nicolau, Constantine D. Polychronopoulos
2004	A*	`conf`	Proxy-based task partitioning of watermarking algorithms for reducing energy consumption in mobile devices. DAC Arun Kejariwal, Sumit Gupta, Alexandru Nicolau, Nikil D. Dutt, Rajesh Gupta
2004	Misc	`conf`	Synthesis-driven Exploration of Pipelined Embedded Processors. VLSI Design Prabhat Mishra, Arun Kejariwal, Nikil D. Dutt
2003	C	`conf`	Rapid Exploration of Pipelined Processors through Automatic Generation of Synthesizable RTL Models. IEEE International Workshop on Rapid System Prototyping Prabhat Mishra, Arun Kejariwal, Nikil D. Dutt