Neeraja J. Yadwadkar

48 papers A* 2A 6B 2Journal 27Unranked 11
YearRankTypeTitle / Venue / Authors
2025 — conf
ALAP: Intent-Based Serverless Computing via Delayed Decision-Making.
SoCC
Prasoon Sinha, Kostis Kaffes, Neeraja J. Yadwadkar
2025 — conf
CADOSys: Cache Aware Design Space Optimization for Spatial ML Accelerators.
ACM Great Lakes Symposium on VLSI
Ruihao Li, Siyuan Ma, Krishna Kavi, Gayatri Mehta, Neeraja J. Yadwadkar, Lizy K. John
2025 J jnl
Composer: A Search Framework for Hybrid Neural Architecture Design.
CoRR
Bilge Acun, Prasoon Sinha, Newsha Ardalani, Sangmin Bae, Alicia Golden, Chien-Yu Lin, Meghana Madhyastha, Fei Sun, Neeraja J. Yadwadkar, Carole-Jean Wu
2025 J jnl
Dedelayed: Deleting remote inference delay via on-device correction.
CoRR
Dan Jacobellis, Mateen Ulhaq, Fabien Racapé, Hyomin Choi, Neeraja J. Yadwadkar
2025 J jnl
LL-ViT: Edge Deployable Vision Transformers with Look Up Table Neurons.
CoRR
Shashank Nag, Alan T. L. Bacellar, Zachary Susskind, Anshul Jha, Logan Liberty, Aishwarya Sivakumar, Eugene B. John, Krishnan Kailas, Priscila M. V. Lima, Neeraja J. Yadwadkar, Felipe M. G. França, Lizy K. John
2025 B conf
Learned Compression for Compressed Learning.
DCC
Dan Jacobellis, Neeraja J. Yadwadkar
2025 J jnl
MIRAGE: KV Cache Optimization through Parameter Remapping for Multi-tenant LLM Serving.
CoRR
Ruihao Li, Shagnik Pal, Vineeth Narayan Pullu, Prasoon Sinha, Jeeho Ryoo, Lizy K. John, Neeraja J. Yadwadkar
2025 A conf
MaverIQ: Fingerprint-Guided Extrapolation and Fragmentation-Aware Layering for Intent-Based LLM Serving.
SC
Dimitrios Liakopoulos, Prasoon Sinha, Tianrui Hu, Myungjin Lee, Neeraja J. Yadwadkar
2025 J jnl
Old is Gold: Optimizing Single-Threaded Applications With ExGen-Malloc.
IEEE Comput. Archit. Lett.
Ruihao Li, Lizy K. John, Neeraja J. Yadwadkar
2025 J jnl
Old is Gold: Optimizing Single-threaded Applications with Exgen-Malloc.
CoRR
Ruihao Li, Lizy K. John, Neeraja J. Yadwadkar
2025 — conf
Oneiros: KV Cache Optimization through Parameter Remapping for Multi-tenant LLM Serving.
SoCC
Ruihao Li, Shagnik Pal, Vineeth Narayan Pullu, Prasoon Sinha, Jeeho Ryoo, Lizy K. John, Neeraja J. Yadwadkar
2025 J jnl
Performance Implications of Pipelining the Data Transfer in CPU-GPU Heterogeneous Systems.
ACM Trans. Archit. Code Optim.
Ruihao Li, Bagus Hanindhito, Sanjana Yadav, Qinzhe Wu, Krishna Kavi, Gayatri Mehta, Neeraja J. Yadwadkar, Lizy K. John
2025 J jnl
Simulating Rumor Spreading in Social Networks using LLM Agents.
CoRR
Tianrui Hu, Dimitrios Liakopoulos, Xiwen Wei, Radu Marculescu, Neeraja J. Yadwadkar
2025 J jnl
SpeedMalloc: Improving Multi-threaded Applications via a Lightweight Core for Memory Allocation.
CoRR
Ruihao Li, Qinzhe Wu, Krishna Kavi, Gayatri Mehta, Jonathan C. Beard, Neeraja J. Yadwadkar, Lizy K. John
2025 — conf
Understanding Sidecars in Cloud Orchestration.
SESAME@EuroSys
Prateek Sahu, Shijia Wei, Neeraja J. Yadwadkar, Mohit Tiwari
2025 J jnl
iServe: An Intent-based Serving System for LLMs.
CoRR
Dimitrios Liakopoulos, Tianrui Hu, Prasoon Sinha, Neeraja J. Yadwadkar
2024 J jnl
Characterizing Machine Learning-Based Runtime Prefetcher Selection.
IEEE Comput. Archit. Lett.
Erika S. Alcorta, Mahesh Madhav, Richard Afoakwa, Scott Tetrick, Neeraja J. Yadwadkar, Andreas Gerstlauer
2024 A conf
Fast and Efficient Scaling for Microservices with SurgeGuard.
SC
Anyesha Ghosh, Neeraja J. Yadwadkar, Mattan Erez
2024 J jnl
Learned Compression for Compressed Learning.
CoRR
Dan Jacobellis, Neeraja J. Yadwadkar
2024 A* conf
MOSEL: Inference Serving Using Dynamic Modality Selection.
EMNLP
Bodun Hu, Le Xu, Jeongyoon Moon, Neeraja J. Yadwadkar, Aditya Akella
2024 B conf
Machine Perceptual Quality: Evaluating the Impact of Severe Lossy Compression on Audio and Image Models.
DCC
Dan Jacobellis, Daniel Cummings, Neeraja J. Yadwadkar
2024 J jnl
Machine Perceptual Quality: Evaluating the Impact of Severe Lossy Compression on Audio and Image Models.
CoRR
Dan Jacobellis, Daniel Cummings, Neeraja J. Yadwadkar
2024 J jnl
Shabari: Delayed Decision-Making for Faster and Efficient Serverless Functions.
CoRR
Prasoon Sinha, Kostis Kaffes, Neeraja J. Yadwadkar
2024 J jnl
Shrinking the Giant : Quasi-Weightless Transformers for Low Energy Inference.
CoRR
Shashank Nag, Alan T. L. Bacellar, Zachary Susskind, Anshul Jha, Logan Liberty, Aishwarya Sivakumar, Eugene B. John, Krishnan Kailas, Priscila M. V. Lima, Neeraja J. Yadwadkar, Felipe M. G. França, Lizy K. John
2024 J jnl
SoK: A Systems Perspective on Compound AI Threats and Countermeasures.
CoRR
Sarbartha Banerjee, Prateek Sahu, Mulong Luo, Anjo Vahldiek-Oberwagner, Neeraja J. Yadwadkar, Mohit Tiwari
2023 J jnl
Dirigo: Self-scaling Stateful Actors For Serverless Real-time Data Processing.
CoRR
Le Xu, Divyanshu Saxena, Neeraja J. Yadwadkar, Aditya Akella, Indranil Gupta
2023 J jnl
Diversity, Equity and Inclusion Activities in Database Conferences: A 2022 Report.
SIGMOD Rec.
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
2023 J jnl
Lightweight ML-based Runtime Prefetcher Selection on Many-core Platforms.
CoRR
Erika S. Alcorta, Mahesh Madhav, Scott Tetrick, Neeraja J. Yadwadkar, Andreas Gerstlauer
2023 J jnl
MOSEL: Inference Serving Using Dynamic Modality Selection.
CoRR
Bodun Hu, Le Xu, Jeongyoon Moon, Neeraja J. Yadwadkar, Aditya Akella
2023 A conf
NextGen-Malloc: Giving Memory Allocator Its Own Room in the House.
HotOS
Ruihao Li, Qinzhe Wu, Krishna Kavi, Gayatri Mehta, Neeraja J. Yadwadkar, Lizy K. John
2023 — conf
Performance Implications of Async Memcpy and UVM: A Tale of Two Data Transfer Modes.
IISWC
Ruihao Li, Sanjana Yadav, Qinzhe Wu, Krishna Kavi, Gayatri Mehta, Neeraja J. Yadwadkar, Lizy K. John
2023 J jnl
Sidecars on the Central Lane: Impact of Network Proxies on Microservices.
CoRR
Prateek Sahu, Lucy Zheng, Marco Bueso, Shijia Wei, Neeraja J. Yadwadkar, Mohit Tiwari
2022 J jnl
Diversity and Inclusion Activities in Database Conferences: A 2021 Report.
SIGMOD Rec.
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
2022 — conf
Hermod: principled and practical scheduling for serverless functions.
SoCC
Kostis Kaffes, Neeraja J. Yadwadkar, Christos Kozyrakis
2022 J jnl
SOL: Safe On-Node Learning in Cloud Platforms.
CoRR
Yawen Wang, Daniel Crankshaw, Neeraja J. Yadwadkar, Daniel S. Berger, Christos Kozyrakis, Ricardo Bianchini
2022 A* conf
SOL: safe on-node learning in cloud platforms.
ASPLOS
Yawen Wang, Daniel Crankshaw, Neeraja J. Yadwadkar, Daniel S. Berger, Christos Kozyrakis, Ricardo Bianchini
2021 — conf
Faa$T: A Transparent Auto-Scaling Cache for Serverless Applications.
SoCC
Francisco Romero, Gohar Irfan Chaudhry, Iñigo Goiri, Pragna Gopa, Paul Batum, Neeraja J. Yadwadkar, Rodrigo Fonseca, Christos Kozyrakis, Ricardo Bianchini
2021 J jnl
Faa$T: A Transparent Auto-Scaling Cache for Serverless Applications.
CoRR
Francisco Romero, Gohar Irfan Chaudhry, Iñigo Goiri, Pragna Gopa, Paul Batum, Neeraja J. Yadwadkar, Rodrigo Fonseca, Christos Kozyrakis, Ricardo Bianchini
2021 — conf
INFaaS: Automated Model-less Inference Serving.
USENIX ATC
Francisco Romero, Qian Li, Neeraja J. Yadwadkar, Christos Kozyrakis
2021 — conf
Interference-Aware Scheduling for Inference Serving.
EuroMLSys@EuroSys
Daniel Mendoza, Francisco Romero, Qian Li, Neeraja J. Yadwadkar, Christos Kozyrakis
2021 — conf
Llama: A Heterogeneous & Serverless Framework for Auto-Tuning Video Analytics Pipelines.
SoCC
Francisco Romero, Mark Zhao, Neeraja J. Yadwadkar, Christos Kozyrakis
2021 J jnl
Llama: A Heterogeneous & Serverless Framework for Auto-Tuning Video Analytics Pipelines.
CoRR
Francisco Romero, Mark Zhao, Neeraja J. Yadwadkar, Christos Kozyrakis
2021 J jnl
Practical Scheduling for Real-World Serverless Computing.
CoRR
Kostis Kaffes, Neeraja J. Yadwadkar, Christos Kozyrakis
2021 A conf
SmartHarvest: harvesting idle CPUs safely and efficiently in the cloud.
EuroSys
Yawen Wang, Kapil Arya, Marios Kogias, Manohar Vanga, Aditya Bhandari, Neeraja J. Yadwadkar, Siddhartha Sen, Sameh Elnikety, Christos Kozyrakis, Ricardo Bianchini
2019 A conf
A Case for Managed and Model-less Inference Serving.
HotOS
Neeraja J. Yadwadkar, Francisco Romero, Qian Li, Christos Kozyrakis
2019 — conf
Centralized Core-granular Scheduling for Serverless Functions.
SoCC
Kostis Kaffes, Neeraja J. Yadwadkar, Christos Kozyrakis
2019 J jnl
INFaaS: Managed & Model-less Inference Serving.
CoRR
Francisco Romero, Qian Li, Neeraja J. Yadwadkar, Christos Kozyrakis
2010 A conf
Discovery of Application Workloads from Network File Traces.
FAST
Neeraja J. Yadwadkar, Chiranjib Bhattacharyya, Kanchi Gopinath, Thirumale Niranjan, Sai Susarla