Sudip Roy

发表

Data Management Challenges in Production Machine Learning

Neoklis Polyzotis, Martin Zinkevich, Steven Euijong Whang, 2017, SIGMOD Conference.

TFX: A TensorFlow-Based Production-Scale Machine Learning Platform

Xin Zhang, Heng-Tze Cheng, Neoklis Polyzotis, 2017, KDD.

Data Lifecycle Challenges in Production Machine Learning

Neoklis Polyzotis, Martin Zinkevich, Steven Euijong Whang, 2018, SIGMOD Rec..

Learning Local Advantage Functions for Generalizable Graph Optimizations

Azalia Mirhoseini, Hanxiao Liu, Yanqi Zhou, 2020 .

Data Infrastructure for Machine Learning

Steven Euijong Whang, Martin A. Zinkevich, Eric Breck, 2017 .

αNAS: Neural Architecture Search using Property Guided Synthesis

P. Phothilimthana, Sudip Roy, Charles Jin, 2022, ArXiv.

Coordination through Querying in the Youtopia System [ Demonstration paper ]

J. Gehrke, Sudip Roy, Christoph E. Koch, 2011 .

Complex Models Erode Boundaries • Data Dependencies Cost More than Code Dependencies • Feedback Loops

Steven Euijong Whang, D. Sculley, Gary Holt, 2018 .

Neural architecture search using property guided synthesis

P. Phothilimthana, Sudip Roy, Charles Jin, 2022, Proc. ACM Program. Lang..

E QUALITY S ATURATION FOR T ENSOR G RAPH S UPEROPTIMIZATION

P. Phothilimthana, Sudip Roy, Max Willsey, 2021 .

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

J. Gehrke, Nate Foster, Sudip Roy, 2014, ArXiv.

Pathways: Asynchronous Distributed Dataflow for ML

Laurent El Shafey, J. Dean, S. Ghemawat, 2022, MLSys.

Quantum Databases

Christoph Koch, Lucja Kot, Sudip Roy, 2013, CIDR.

Equality Saturation for Tensor Graph Superoptimization pdf

Yichen Yang, Max Willsey, Yisu Remy Wang, 2021, MLSys.

A Flexible Approach to Autotuning Multi-Pass Machine Learning Compilers

Berkin Ilbeyi, Ketan Mandke, Nikhil Sarda, 2021, 2021 30th International Conference on Parallel Architectures and Compilation Techniques (PACT).

A Learned Performance Model for Tensor Processing Units

Samuel J. Kaufman, Yanqi Zhou, Charith Mendis, 2021, MLSys.

A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules pdf

Azalia Mirhoseini, Xinfeng Xie, James Laudon, 2021, MLSys.

Goods: Organizing Google's Datasets

Alon Y. Halevy, Neoklis Polyzotis, Christopher Olston, 2016, SIGMOD Conference.

GDP: Generalized Device Placement for Dataflow Graphs pdf

Azalia Mirhoseini, Hanxiao Liu, Sudip Roy, 2019, ArXiv.

αNAS: Neural Architecture Search using Property Guided Synthesis

P. Phothilimthana, Sudip Roy, Charles Jin, 2022, ArXiv.

Transferable Graph Optimizers for ML Compilers

Mangpo Phitchaya Phothilimtha, Peter C. Ma, Azalia Mirhoseini, 2020, NeurIPS.

TensorFlow Data Validation: Data Analysis and Validation in Continuous ML Pipelines

Neoklis Polyzotis, Martin Zinkevich, C. PaulSuganthanG., 2020, SIGMOD Conference.

PerfAugur: Robust diagnostics for performance anomalies in cloud services

Manish Kumar, Arnd Christian König, Sudip Roy, 2015, 2015 IEEE 31st International Conference on Data Engineering.

The Homeostasis Protocol: Avoiding Transaction Coordination Through Program Analysis

Johannes Gehrke, Nate Foster, Christoph Koch, 2014, SIGMOD Conference.

Managing Google's data lake: an overview of the Goods system

Alon Y. Halevy, Neoklis Polyzotis, Christopher Olston, 2016, IEEE Data Eng. Bull..

Beyond isolation: research opportunities in declarative data-driven coordination

Johannes Gehrke, Christoph Koch, Lucja Kot, 2010, SGMD.