Sudip Roy

Orcid: 0000-0002-0535-0531

Affiliations:
  • Google
  • Cornell University


According to our database1, Sudip Roy authored at least 28 papers between 2008 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
Neural architecture search using property guided synthesis.
Proc. ACM Program. Lang., 2022

αNAS: Neural Architecture Search using Property Guided Synthesis.
CoRR, 2022

A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules.
Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

Pathways: Asynchronous Distributed Dataflow for ML.
Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

2021
Equality Saturation for Tensor Graph Superoptimization.
CoRR, 2021

A Learned Performance Model for Tensor Processing Units.
Proceedings of the Fourth Conference on Machine Learning and Systems, 2021

Equality Saturation for Tensor Graph Superoptimization.
Proceedings of the Fourth Conference on Machine Learning and Systems, 2021

A Flexible Approach to Autotuning Multi-Pass Machine Learning Compilers.
Proceedings of the 30th International Conference on Parallel Architectures and Compilation Techniques, 2021

2020
A Single-Shot Generalized Device Placement for Large Dataflow Graphs.
IEEE Micro, 2020

TensorFlow Data Validation: Data Analysis and Validation in Continuous ML Pipelines.
Proceedings of the 2020 International Conference on Management of Data, 2020

Transferable Graph Optimizers for ML Compilers.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
GDP: Generalized Device Placement for Dataflow Graphs.
CoRR, 2019

Data Validation for Machine Learning.
Proceedings of the Second Conference on Machine Learning and Systems, SysML 2019, 2019

2018
Data Lifecycle Challenges in Production Machine Learning: A Survey.
SIGMOD Rec., 2018

2017
Data Management Challenges in Production Machine Learning.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017

TFX: A TensorFlow-Based Production-Scale Machine Learning Platform.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016
Managing Google's data lake: an overview of the Goods system.
IEEE Data Eng. Bull., 2016

Goods: Organizing Google's Datasets.
Proceedings of the 2016 International Conference on Management of Data, 2016

2015
Lazy Transaction Execution Models.
PhD thesis, 2015

The Homeostasis Protocol: Avoiding Transaction Coordination Through Program Analysis.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

PerfAugur: Robust diagnostics for performance anomalies in cloud services.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

2014
Writes that Fall in the Forest and Make no Sound: Semantics-Based Adaptive Data Consistency.
CoRR, 2014

2013
Quantum Databases.
Proceedings of the Sixth Biennial Conference on Innovative Data Systems Research, 2013

2012
Entangled queries: Enabling declarative data-driven coordination.
ACM Trans. Database Syst., 2012

2011
Entangled Transactions.
Proc. VLDB Endow., 2011

Coordination through querying in the youtopia system.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

2010
Beyond isolation: research opportunities in declarative data-driven coordination.
SIGMOD Rec., 2010

2008
A layout-aware physical design method for constructing feasible QCA circuits.
Proceedings of the 18th ACM Great Lakes Symposium on VLSI 2008, 2008


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