Neeraja J. Yadwadkar

Orcid: 0009-0007-7556-3069

According to our database1, Neeraja J. Yadwadkar authored at least 30 papers between 2010 and 2024.

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Bibliography

2024
Shabari: Delayed Decision-Making for Faster and Efficient Serverless Functions.
CoRR, 2024

Characterizing Machine Learning-Based Runtime Prefetcher Selection.
IEEE Comput. Archit. Lett., 2024

MOSEL: Inference Serving Using Dynamic Modality Selection.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Machine Perceptual Quality: Evaluating the Impact of Severe Lossy Compression on Audio and Image Models.
Proceedings of the Data Compression Conference, 2024

2023
Diversity, Equity and Inclusion Activities in Database Conferences: A 2022 Report.
SIGMOD Rec., June, 2023

Dirigo: Self-scaling Stateful Actors For Serverless Real-time Data Processing.
CoRR, 2023

Lightweight ML-based Runtime Prefetcher Selection on Many-core Platforms.
CoRR, 2023

Sidecars on the Central Lane: Impact of Network Proxies on Microservices.
CoRR, 2023

Performance Implications of Async Memcpy and UVM: A Tale of Two Data Transfer Modes.
Proceedings of the IEEE International Symposium on Workload Characterization, 2023

NextGen-Malloc: Giving Memory Allocator Its Own Room in the House.
Proceedings of the 19th Workshop on Hot Topics in Operating Systems, 2023

2022
Diversity and Inclusion Activities in Database Conferences: A 2021 Report.
SIGMOD Rec., 2022

Hermod: principled and practical scheduling for serverless functions.
Proceedings of the 13th Symposium on Cloud Computing, SoCC 2022, 2022

SOL: safe on-node learning in cloud platforms.
Proceedings of the ASPLOS '22: 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Lausanne, Switzerland, 28 February 2022, 2022

2021
Practical Scheduling for Real-World Serverless Computing.
CoRR, 2021

What serverless computing is and should become: the next phase of cloud computing.
Commun. ACM, 2021

INFaaS: Automated Model-less Inference Serving.
Proceedings of the 2021 USENIX Annual Technical Conference, 2021

SmartHarvest: harvesting idle CPUs safely and efficiently in the cloud.
Proceedings of the EuroSys '21: Sixteenth European Conference on Computer Systems, 2021

Interference-Aware Scheduling for Inference Serving.
Proceedings of the EuroMLSys@EuroSys 2021, 2021

Llama: A Heterogeneous & Serverless Framework for Auto-Tuning Video Analytics Pipelines.
Proceedings of the SoCC '21: ACM Symposium on Cloud Computing, 2021

Faa$T: A Transparent Auto-Scaling Cache for Serverless Applications.
Proceedings of the SoCC '21: ACM Symposium on Cloud Computing, 2021

2019
INFaaS: Managed & Model-less Inference Serving.
CoRR, 2019

Cloud Programming Simplified: A Berkeley View on Serverless Computing.
CoRR, 2019

A Case for Managed and Model-less Inference Serving.
Proceedings of the Workshop on Hot Topics in Operating Systems, 2019

Centralized Core-granular Scheduling for Serverless Functions.
Proceedings of the ACM Symposium on Cloud Computing, SoCC 2019, 2019

2018
Machine Learning for Automatic Resource Management in the Datacenter and the Cloud.
PhD thesis, 2018

2017
Selecting the <i>best</i> VM across multiple public clouds: a data-driven performance modeling approach.
Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, 2017

2016
Multi-Task Learning for Straggler Avoiding Predictive Job Scheduling.
J. Mach. Learn. Res., 2016

2015
Faster Jobs in Distributed Data Processing using Multi-Task Learning.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

2014
Wrangler: Predictable and Faster Jobs using Fewer Resources.
Proceedings of the ACM Symposium on Cloud Computing, 2014

2010
Discovery of Application Workloads from Network File Traces.
Proceedings of the 8th USENIX Conference on File and Storage Technologies, 2010


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