Neeraja J. Yadwadkar

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 26

Top Topics

Lossy Compression

Perceptual Quality

Top Venues

Publications

Dan Jacobellis, Daniel Cummings, Neeraja J. Yadwadkar
Machine Perceptual Quality: Evaluating the Impact of Severe Lossy Compression on Audio and Image Models. DCC (2024)
Prasoon Sinha, Kostis Kaffes, Neeraja J. Yadwadkar
Shabari: Delayed Decision-Making for Faster and Efficient Serverless Functions. CoRR (2024)
Dan Jacobellis, Daniel Cummings, Neeraja J. Yadwadkar
Machine Perceptual Quality: Evaluating the Impact of Severe Lossy Compression on Audio and Image Models. CoRR (2024)
Le Xu, Divyanshu Saxena, Neeraja J. Yadwadkar, Aditya Akella, Indranil Gupta
Dirigo: Self-scaling Stateful Actors For Serverless Real-time Data Processing. CoRR (2023)
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 (2023)
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) (2023)
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)
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)
Erika S. Alcorta, Mahesh Madhav, Scott Tetrick, Neeraja J. Yadwadkar, Andreas Gerstlauer
Lightweight ML-based Runtime Prefetcher Selection on Many-core Platforms. CoRR (2023)
Bodun Hu, Le Xu, Jeongyoon Moon, Neeraja J. Yadwadkar, Aditya Akella
MOSEL: Inference Serving Using Dynamic Modality Selection. CoRR (2023)
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) (2022)
Yawen Wang, Daniel Crankshaw, Neeraja J. Yadwadkar, Daniel S. Berger, Christos Kozyrakis, Ricardo Bianchini
SOL: Safe On-Node Learning in Cloud Platforms. CoRR (2022)
Kostis Kaffes, Neeraja J. Yadwadkar, Christos Kozyrakis
Hermod: principled and practical scheduling for serverless functions. SoCC (2022)
Yawen Wang, Daniel Crankshaw, Neeraja J. Yadwadkar, Daniel S. Berger, Christos Kozyrakis, Ricardo Bianchini
SOL: safe on-node learning in cloud platforms. ASPLOS (2022)
Francisco Romero, Qian Li, Neeraja J. Yadwadkar, Christos Kozyrakis
INFaaS: Automated Model-less Inference Serving. USENIX Annual Technical Conference (2021)
Daniel Mendoza, Francisco Romero, Qian Li, Neeraja J. Yadwadkar, Christos Kozyrakis
Interference-Aware Scheduling for Inference Serving. EuroMLSys@EuroSys (2021)
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)
Francisco Romero, Mark Zhao, Neeraja J. Yadwadkar, Christos Kozyrakis
Llama: A Heterogeneous & Serverless Framework for Auto-Tuning Video Analytics Pipelines. SoCC (2021)
Kostis Kaffes, Neeraja J. Yadwadkar, Christos Kozyrakis
Practical Scheduling for Real-World Serverless Computing. CoRR (2021)
Francisco Romero, Mark Zhao, Neeraja J. Yadwadkar, Christos Kozyrakis
Llama: A Heterogeneous & Serverless Framework for Auto-Tuning Video Analytics Pipelines. CoRR (2021)
Francisco Romero, Gohar Irfan Chaudhry, Iñigo Goiri, Pragna Gopa, Paul Batum, Neeraja J. Yadwadkar, Rodrigo Fonseca, Christos Kozyrakis, Ricardo Bianchini
Faa$T: A Transparent Auto-Scaling Cache for Serverless Applications. CoRR (2021)
Francisco Romero, Gohar Irfan Chaudhry, Iñigo Goiri, Pragna Gopa, Paul Batum, Neeraja J. Yadwadkar, Rodrigo Fonseca, Christos Kozyrakis, Ricardo Bianchini
Faa$T: A Transparent Auto-Scaling Cache for Serverless Applications. SoCC (2021)
Neeraja J. Yadwadkar, Francisco Romero, Qian Li, Christos Kozyrakis
A Case for Managed and Model-less Inference Serving. HotOS (2019)
Kostis Kaffes, Christos Kozyrakis, Neeraja J. Yadwadkar
Centralized Core-granular Scheduling for Serverless Functions. SoCC (2019)
Kostis Kaffes, Neeraja J. Yadwadkar, Christos Kozyrakis
Centralized Core-granular Scheduling for Serverless Functions. SoCC (2019)
Francisco Romero, Qian Li, Neeraja J. Yadwadkar, Christos Kozyrakis
INFaaS: Managed & Model-less Inference Serving. CoRR (2019)
Neeraja J. Yadwadkar, Chiranjib Bhattacharyya, Kanchi Gopinath, Thirumale Niranjan, Sai Susarla
Discovery of Application Workloads from Network File Traces. FAST (2010)