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Neeraja J. Yadwadkar

Neeraja Jayant Yadwadkar

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2020 – today

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2024
[j5]
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Erika S. Alcorta, Mahesh Madhav, Richard Afoakwa, Scott Tetrick, Neeraja J. Yadwadkar, Andreas Gerstlauer:
Characterizing Machine Learning-Based Runtime Prefetcher Selection. IEEE Comput. Archit. Lett. 23(2): 146-149 (2024)
[c17]
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Dan Jacobellis, Daniel Cummings, Neeraja J. Yadwadkar:
Machine Perceptual Quality: Evaluating the Impact of Severe Lossy Compression on Audio and Image Models. DCC 2024: 562
[c16]
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Bodun Hu, Le Xu, Jeongyoon Moon, Neeraja J. Yadwadkar, Aditya Akella:
MOSEL: Inference Serving Using Dynamic Modality Selection. EMNLP 2024: 8872-8886
[i12]
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  - journals/corr/abs-2401-07957
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Dan Jacobellis, Daniel Cummings, Neeraja J. Yadwadkar:
Machine Perceptual Quality: Evaluating the Impact of Severe Lossy Compression on Audio and Image Models. CoRR abs/2401.07957 (2024)
[i11]
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  - journals/corr/abs-2401-08859
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Prasoon Sinha, Kostis Kaffes, Neeraja J. Yadwadkar:
Shabari: Delayed Decision-Making for Faster and Efficient Serverless Functions. CoRR abs/2401.08859 (2024)
2023
[j4]
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  - journals/sigmod/AmerYahiaAABBBCCCCDDAFFJKMMMOOPR23
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Sihem Amer-Yahia, Divyakant Agrawal, Yael Amsterdamer, Sourav S. Bhowmick, Angela Bonifati, Renata Borovica-Gajic, Jesús Camacho-Rodríguez, Barbara Catania, Panos K. Chrysanthis, Carlo Curino, Jérôme Darmont, Gillian Dobbie, Amr El Abbadi, Avrilia Floratou, Juliana Freire, Alekh Jindal, Vana Kalogeraki, Sujaya Maiyya, Alexandra Meliou, Madhulika Mohanty, Behrooz Omidvar-Tehrani, Fatma Özcan, Liat Peterfreund, Wenny Rahayu, Shazia Sadiq, Sana Sellami, Utku Sirin, Wang-Chiew Tan, Bhavani Thuraisingham, Yuanyuan Tian, Pinar Tözün, Genoveva Vargas-Solar, Neeraja J. Yadwadkar, Victor Zakhary, Meihui Zhang:
Diversity, Equity and Inclusion Activities in Database Conferences: A 2022 Report. SIGMOD Rec. 52(2): 38-42 (2023)
[c15]
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Ruihao Li, Qinzhe Wu, Krishna Kavi, Gayatri Mehta, Neeraja J. Yadwadkar, Lizy K. John:
NextGen-Malloc: Giving Memory Allocator Its Own Room in the House. HotOS 2023: 135-142
[c14]
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Ruihao Li, Sanjana Yadav, Qinzhe Wu, Krishna Kavi, Gayatri Mehta, Neeraja J. Yadwadkar, Lizy K. John:
Performance Implications of Async Memcpy and UVM: A Tale of Two Data Transfer Modes. IISWC 2023: 115-127
[i10]
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  - journals/corr/abs-2306-15792
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Prateek Sahu, Lucy Zheng, Marco Bueso, Shijia Wei, Neeraja J. Yadwadkar, Mohit Tiwari:
Sidecars on the Central Lane: Impact of Network Proxies on Microservices. CoRR abs/2306.15792 (2023)
[i9]
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  - journals/corr/abs-2307-08635
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Erika S. Alcorta, Mahesh Madhav, Scott Tetrick, Neeraja J. Yadwadkar, Andreas Gerstlauer:
Lightweight ML-based Runtime Prefetcher Selection on Many-core Platforms. CoRR abs/2307.08635 (2023)
[i8]
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  - journals/corr/abs-2308-03615
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Le Xu, Divyanshu Saxena, Neeraja J. Yadwadkar, Aditya Akella, Indranil Gupta:
Dirigo: Self-scaling Stateful Actors For Serverless Real-time Data Processing. CoRR abs/2308.03615 (2023)
[i7]
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  - journals/corr/abs-2310-18481
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Bodun Hu, Le Xu, Jeongyoon Moon, Neeraja J. Yadwadkar, Aditya Akella:
MOSEL: Inference Serving Using Dynamic Modality Selection. CoRR abs/2310.18481 (2023)
2022
[j3]
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Sihem Amer-Yahia, Yael Amsterdamer, Sourav S. Bhowmick, Angela Bonifati, Philippe Bonnet, Renata Borovica-Gajic, Barbara Catania, Tania Cerquitelli, Silvia Chiusano, Panos K. Chrysanthis, Carlo Curino, Jérôme Darmont, Amr El Abbadi, Avrilia Floratou, Juliana Freire, Alekh Jindal, Vana Kalogeraki, Georgia Koutrika, Arun Kumar, Sujaya Maiyya, Alexandra Meliou, Madhulika Mohanty, Felix Naumann, Nele Sina Noack, Fatma Özcan, Liat Peterfreund, Wenny Rahayu, Wang-Chiew Tan, Yuanyuan Tian, Pinar Tözün, Genoveva Vargas-Solar, Neeraja J. Yadwadkar, Meihui Zhang:
Diversity and Inclusion Activities in Database Conferences: A 2021 Report. SIGMOD Rec. 51(2): 69-73 (2022)
[c13]
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Yawen Wang, Daniel Crankshaw, Neeraja J. Yadwadkar, Daniel S. Berger, Christos Kozyrakis, Ricardo Bianchini:
SOL: safe on-node learning in cloud platforms. ASPLOS 2022: 622-634
[c12]
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Kostis Kaffes, Neeraja J. Yadwadkar, Christos Kozyrakis:
Hermod: principled and practical scheduling for serverless functions. SoCC 2022: 289-305
[i6]
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  - journals/corr/abs-2201-10477
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Yawen Wang, Daniel Crankshaw, Neeraja J. Yadwadkar, Daniel S. Berger, Christos Kozyrakis, Ricardo Bianchini:
SOL: Safe On-Node Learning in Cloud Platforms. CoRR abs/2201.10477 (2022)
2021
[j2]
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  - journals/cacm/Schleier-SmithS21
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Johann Schleier-Smith, Vikram Sreekanti, Anurag Khandelwal, João Carreira, Neeraja Jayant Yadwadkar, Raluca Ada Popa, Joseph E. Gonzalez, Ion Stoica, David A. Patterson:
What serverless computing is and should become: the next phase of cloud computing. Commun. ACM 64(5): 76-84 (2021)
[c11]
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  - conf/cloud/RomeroZYK21
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Francisco Romero, Mark Zhao, Neeraja J. Yadwadkar, Christos Kozyrakis:
Llama: A Heterogeneous & Serverless Framework for Auto-Tuning Video Analytics Pipelines. SoCC 2021: 1-17
[c10]
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  - conf/cloud/RomeroCGGBYFKB21
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Francisco Romero, Gohar Irfan Chaudhry, Iñigo Goiri, Pragna Gopa, Paul Batum, Neeraja J. Yadwadkar, Rodrigo Fonseca, Christos Kozyrakis, Ricardo Bianchini:
Faa$T: A Transparent Auto-Scaling Cache for Serverless Applications. SoCC 2021: 122-137
[c9]
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  - conf/eurosys/WangAKVBYSEKB21
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Yawen Wang, Kapil Arya, Marios Kogias, Manohar Vanga, Aditya Bhandari, Neeraja J. Yadwadkar, Siddhartha Sen, Sameh Elnikety, Christos Kozyrakis, Ricardo Bianchini:
SmartHarvest: harvesting idle CPUs safely and efficiently in the cloud. EuroSys 2021: 1-16
[c8]
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  - conf/eurosys/MendozaRLYK21
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Daniel Mendoza, Francisco Romero, Qian Li, Neeraja J. Yadwadkar, Christos Kozyrakis:
Interference-Aware Scheduling for Inference Serving. EuroMLSys@EuroSys 2021: 80-88
[c7]
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Francisco Romero, Qian Li, Neeraja J. Yadwadkar, Christos Kozyrakis:
INFaaS: Automated Model-less Inference Serving. USENIX ATC 2021: 397-411
[i5]
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  - journals/corr/abs-2102-01887
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Francisco Romero, Mark Zhao, Neeraja J. Yadwadkar, Christos Kozyrakis:
Llama: A Heterogeneous & Serverless Framework for Auto-Tuning Video Analytics Pipelines. CoRR abs/2102.01887 (2021)
[i4]
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  - journals/corr/abs-2104-13869
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Francisco Romero, Gohar Irfan Chaudhry, Iñigo Goiri, Pragna Gopa, Paul Batum, Neeraja J. Yadwadkar, Rodrigo Fonseca, Christos Kozyrakis, Ricardo Bianchini:
Faa$T: A Transparent Auto-Scaling Cache for Serverless Applications. CoRR abs/2104.13869 (2021)
[i3]
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  - journals/corr/abs-2111-07226
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Kostis Kaffes, Neeraja J. Yadwadkar, Christos Kozyrakis:
Practical Scheduling for Real-World Serverless Computing. CoRR abs/2111.07226 (2021)

2010 – 2019

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2019
[c6]
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  - conf/cloud/KaffesYK19
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Kostis Kaffes, Neeraja J. Yadwadkar, Christos Kozyrakis:
Centralized Core-granular Scheduling for Serverless Functions. SoCC 2019: 158-164
[c5]
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Neeraja J. Yadwadkar, Francisco Romero, Qian Li, Christos Kozyrakis:
A Case for Managed and Model-less Inference Serving. HotOS 2019: 184-191
[i2]
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  - journals/corr/abs-1902-03383
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Eric Jonas, Johann Schleier-Smith, Vikram Sreekanti, Chia-Che Tsai, Anurag Khandelwal, Qifan Pu, Vaishaal Shankar, João Carreira, Karl Krauth, Neeraja Jayant Yadwadkar, Joseph E. Gonzalez, Raluca Ada Popa, Ion Stoica, David A. Patterson:
Cloud Programming Simplified: A Berkeley View on Serverless Computing. CoRR abs/1902.03383 (2019)
[i1]
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  - journals/corr/abs-1905-13348
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Francisco Romero, Qian Li, Neeraja J. Yadwadkar, Christos Kozyrakis:
INFaaS: Managed & Model-less Inference Serving. CoRR abs/1905.13348 (2019)
2018
[b1]
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Neeraja Jayant Yadwadkar:
Machine Learning for Automatic Resource Management in the Datacenter and the Cloud. University of California, Berkeley, USA, 2018
2017
[c4]
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Neeraja Jayant Yadwadkar, Bharath Hariharan, Joseph E. Gonzalez, Burton Smith, Randy H. Katz:
Selecting the best VM across multiple public clouds: a data-driven performance modeling approach. SoCC 2017: 452-465
2016
[j1]
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Neeraja Jayant Yadwadkar, Bharath Hariharan, Joseph E. Gonzalez, Randy Howard Katz:
Multi-Task Learning for Straggler Avoiding Predictive Job Scheduling. J. Mach. Learn. Res. 17: 106:1-106:37 (2016)
2015
[c3]
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Neeraja Jayant Yadwadkar, Bharath Hariharan, Joseph Gonzalez, Randy H. Katz:
Faster Jobs in Distributed Data Processing using Multi-Task Learning. SDM 2015: 532-540
2014
[c2]
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Neeraja Jayant Yadwadkar, Ganesh Ananthanarayanan, Randy H. Katz:
Wrangler: Predictable and Faster Jobs using Fewer Resources. SoCC 2014: 26:1-26:14
2010
[c1]
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  - conf/fast/YadwadkarBGNS10
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Neeraja J. Yadwadkar, Chiranjib Bhattacharyya, Kanchi Gopinath, Thirumale Niranjan, Sai Susarla:
Discovery of Application Workloads from Network File Traces. FAST 2010: 183-196

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