Matei Zaharia

Pieter Abbeel

Proceedings of the Twelfth International Conference on Learning Representations, 2024

ALTO: An Efficient Network Orchestrator for Compound AI Systems.

[BibT_eX]

[DOI]

Keshav Santhanam

Deepti Raghavan

Muhammad Shahir Rahman

Thejas Venkatesh

Neha Kunjal

Pratiksha Thaker

Proceedings of the 4th Workshop on Machine Learning and Systems, 2024

Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Accelerating Aggregation Queries on Unstructured Streams of Data.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2023

Epoxy: ACID Transactions Across Diverse Data Stores.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2023

R<sup>3</sup>: Record-Replay-Retroaction for Database-Backed Applications.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2023

DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines.

[BibT_eX]

[DOI]

CoRR, 2023

Image and Data Mining in Reticular Chemistry Using GPT-4V.

[BibT_eX]

[DOI]

CoRR, 2023

Data Acquisition: A New Frontier in Data-centric AI.

[BibT_eX]

[DOI]

CoRR, 2023

Exploration with Principles for Diverse AI Supervision.

[BibT_eX]

[DOI]

Hao Liu

Pieter Abbeel

CoRR, 2023

DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines.

[BibT_eX]

[DOI]

CoRR, 2023

Ring Attention with Blockwise Transformers for Near-Infinite Context.

[BibT_eX]

[DOI]

Hao Liu

Pieter Abbeel

CoRR, 2023

How is ChatGPT's behavior changing over time?

[BibT_eX]

[DOI]

CoRR, 2023

Zelda: Video Analytics using Vision-Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Cornflakes: Zero-Copy Serialization for Microsecond-Scale Networking.

[BibT_eX]

[DOI]

Irene Zhang

Proceedings of the 29th Symposium on Operating Systems Principles, 2023

MegaBlocks: Efficient Sparse Training with Mixture-of-Experts.

[BibT_eX]

[DOI]

Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

Congestion Control Safety via Comparative Statics.

[BibT_eX]

[DOI]

Pratiksha Thaker

Tatsunori Hashimoto

Proceedings of the IEEE INFOCOM 2023, 2023

Transactions Make Debugging Easy.

[BibT_eX]

[DOI]

Proceedings of the 13th Conference on Innovative Data Systems Research, 2023

Analyzing and Comparing Lakehouse Storage Systems.

[BibT_eX]

[DOI]

Proceedings of the 13th Conference on Innovative Data Systems Research, 2023

Moving Beyond Downstream Task Accuracy for Information Retrieval Benchmarking.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

HAPI Explorer: Comprehension, Discovery, and Explanation on History of ML APIs.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Author Correction: Advances, challenges and opportunities in creating data for trustworthy AI.

[BibT_eX]

[DOI]

Nat. Mac. Intell., October, 2022

Optimizing Video Analytics with Declarative Model Relationships.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2022

Parallelism-Optimizing Data Placement for Faster Data-Parallel Computations.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2022

Cloud Data Systems: What are the Opportunities for the Database Research Community?

[BibT_eX]

[DOI]

Magdalena Balazinska

Surajit Chaudhuri

AnHai Doan

Joseph M. Hellerstein

Hanuma Kodavalla

Ippokratis Pandis

Proc. VLDB Endow., 2022

Advances, challenges and opportunities in creating data for trustworthy AI.

[BibT_eX]

[DOI]

Nat. Mach. Intell., 2022

Allocation of fungible resources via a fast, scalable price discovery method.

[BibT_eX]

[DOI]

Math. Program. Comput., 2022

Overlook: Differentially Private Exploratory Visualization for Big Data.

[BibT_eX]

[DOI]

J. Priv. Confidentiality, 2022

Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP.

[BibT_eX]

[DOI]

CoRR, 2022

Apiary: A DBMS-Backed Transactional Function-as-a-Service Framework.

[BibT_eX]

[DOI]

Peter Kraft

Qian Li

Kostis Kaffes

Athinagoras Skiadopoulos

CoRR, 2022

Extricating IoT Devices from Vendor Infrastructure with Karl.

[BibT_eX]

[DOI]

Gina Yuan

David Mazières

CoRR, 2022

TASTI: Semantic Indexes for Machine Learning-based Queries over Unstructured Data.

[BibT_eX]

[DOI]

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Finding Label and Model Errors in Perception Data With Learned Observation Assertions.

[BibT_eX]

[DOI]

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Photon: A Fast Query Engine for Lakehouse Systems.

[BibT_eX]

[DOI]

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Data-Parallel Actors: A Programming Model for Scalable Query Serving Systems.

[BibT_eX]

[DOI]

Proceedings of the 19th USENIX Symposium on Networked Systems Design and Implementation, 2022

Estimating and Explaining Model Performance When Both Covariates and Labels Shift.

[BibT_eX]

[DOI]

James Y. Zou

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Efficient Online ML API Selection for Multi-Label Classification Tasks.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Hindsight: Posterior-guided training of retrievers for improved open-ended generation.

[BibT_eX]

[DOI]

Christopher D. Manning

Proceedings of the Tenth International Conference on Learning Representations, 2022

How Did the Model Change? Efficiently Assessing Machine Learning API Shifts.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

PLAID: An Efficient Engine for Late Interaction Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

VIVA: An End-to-End System for Interactive Video Analytics.

[BibT_eX]

[DOI]

Proceedings of the 12th Conference on Innovative Data Systems Research, 2022

A Progress Report on DBOS: A Database-oriented Operating System.

[BibT_eX]

[DOI]

Qian Li

Peter Kraft

Kostis Kaffes

Athinagoras Skiadopoulos

Proceedings of the 12th Conference on Innovative Data Systems Research, 2022

Similarity Search for Efficient Active Learning and Search of Rare Concepts.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

DIFF: a relational interface for large-scale data explanation.

[BibT_eX]

[DOI]

VLDB J., 2021

Relevance-guided Supervision for OpenQA with ColBERT.

[BibT_eX]

[DOI]

Omar Khattab

Christopher Potts

Trans. Assoc. Comput. Linguistics, 2021

Designing Production-Friendly Machine Learning.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2021

DBOS: A DBMS-oriented Operating System.

[BibT_eX]

[DOI]

Athinagoras Skiadopoulos

Proc. VLDB Endow., 2021

Accelerating Approximate Aggregation Queries with Expensive Predicates.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2021

What can Data-Centric AI Learn from Data and ML Engineering?

[BibT_eX]

[DOI]

Neoklis Polyzotis

CoRR, 2021

Toward Compact Parameter Representations for Architecture-Agnostic Neural Network Compression.

[BibT_eX]

[DOI]

CoRR, 2021

DistIR: An Intermediate Representation and Simulator for Efficient Neural Network Distribution.

[BibT_eX]

[DOI]

CoRR, 2021

Did the Model Change? Efficiently Assessing Machine Learning API Shifts.

[BibT_eX]

[DOI]

CoRR, 2021

Proof: Accelerating Approximate Aggregation Queries with Expensive Predicates.

[BibT_eX]

[DOI]

CoRR, 2021

Don't Give Up on Large Optimization Problems; POP Them!

[BibT_eX]

[DOI]

CoRR, 2021

Efficient Large-Scale Language Model Training on GPU Clusters.

[BibT_eX]

[DOI]

CoRR, 2021

FrugalMCT: Efficient Online ML API Selection for Multi-Label Classification Tasks.

[BibT_eX]

[DOI]

CoRR, 2021

Express: Lowering the Cost of Metadata-hiding Communication with Cryptographic Privacy.

[BibT_eX]

[DOI]

Proceedings of the 30th USENIX Security Symposium, 2021

Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP.

[BibT_eX]

[DOI]

Proceedings of the SOSP '21: ACM SIGOPS 28th Symposium on Operating Systems Principles, 2021

Efficient large-scale language model training on GPU clusters using megatron-LM.

[BibT_eX]

[DOI]

Proceedings of the International Conference for High Performance Computing, 2021

Contracting Wide-area Network Topologies to Solve Flow Problems Quickly.

[BibT_eX]

[DOI]

Proceedings of the 18th USENIX Symposium on Networked Systems Design and Implementation, 2021

Baleen: Robust Multi-Hop Reasoning at Scale via Condensed Retrieval.

[BibT_eX]

[DOI]

Omar Khattab

Christopher Potts

Matei A. Zaharia

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Memory-Efficient Pipeline-Parallel DNN Training.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Breakfast of champions: towards zero-copy serialization with NIC scatter-gather.

[BibT_eX]

[DOI]

Deepti Raghavan

Irene Zhang

Proceedings of the HotOS '21: Workshop on Hot Topics in Operating Systems, 2021

Don't Hate the Player, Hate the Game: Safety and Utility in Multi-Agent Congestion Control.

[BibT_eX]

[DOI]

Pratiksha Thaker

Tatsunori Hashimoto

Proceedings of the HotNets '21: The 20th ACM Workshop on Hot Topics in Networks, 2021

Clamor: Extending Functional Cluster Computing Frameworks with Fine-Grained Remote Memory Access.

[BibT_eX]

[DOI]

Proceedings of the SoCC '21: ACM Symposium on Cloud Computing, 2021

Lakehouse: A New Generation of Open Platforms that Unify Data Warehousing and Advanced Analytics.

[BibT_eX]

[DOI]

Proceedings of the 11th Conference on Innovative Data Systems Research, 2021

Challenges and Opportunities for Autonomous Vehicle Query Systems.

[BibT_eX]

[DOI]

Fiodar Kazhamiaka

Proceedings of the 11th Conference on Innovative Data Systems Research, 2021

2020

A Demonstration of Willump: A Statistically-Aware End-to-end Optimizer for Machine Learning Inference.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2020

Jointly Optimizing Preprocessing and Inference for DNN-based Visual Analytics.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2020

Approximate Selection with Guarantees using Proxies.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2020

Delta Lake: High-Performance ACID Table Storage over Cloud Object Stores.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2020

Task-agnostic Indexes for Deep Learning-based Queries over Unstructured Data.

[BibT_eX]

[DOI]

CoRR, 2020

DBOS: A Proposal for a Data-Centric Operating System.

[BibT_eX]

[DOI]

CoRR, 2020

Similarity Search for Efficient Active Learning and Search of Rare Concepts.

[BibT_eX]

[DOI]

CoRR, 2020

Offload Annotations: Bringing Heterogeneous Computing to Existing Libraries and Workloads.

[BibT_eX]

[DOI]

Proceedings of the 2020 USENIX Annual Technical Conference, 2020

POSH: A Data-Aware Shell.

[BibT_eX]

[DOI]

Deepti Raghavan

Sadjad Fouladi

Proceedings of the 2020 USENIX Annual Technical Conference, 2020

Spectral Lower Bounds on the I/O Complexity of Computation Graphs.

[BibT_eX]

[DOI]

Saachi Jain

Proceedings of the SPAA '20: 32nd ACM Symposium on Parallelism in Algorithms and Architectures, 2020

Developments in MLflow: A System to Accelerate the Machine Learning Lifecycle.

[BibT_eX]

[DOI]

Proceedings of the Fourth Workshop on Data Management for End-To-End Machine Learning, 2020

ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT.

[BibT_eX]

[DOI]

Omar Khattab

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Sparse GPU kernels for deep learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference for High Performance Computing, 2020

Heterogeneity-Aware Cluster Scheduling Policies for Deep Learning Workloads.

[BibT_eX]

[DOI]

Proceedings of the 14th USENIX Symposium on Operating Systems Design and Implementation, 2020

FrugalML: How to use ML Prediction APIs more accurately and cheaply.

[BibT_eX]

[DOI]

James Y. Zou

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

MLPerf Training Benchmark.

[BibT_eX]

[DOI]

Proceedings of the Third Conference on Machine Learning and Systems, 2020

Willump: A Statistically-Aware End-to-end Optimizer for Machine Learning Inference.

[BibT_eX]

[DOI]

Proceedings of the Third Conference on Machine Learning and Systems, 2020

Model Assertions for Monitoring and Improving ML Models.

[BibT_eX]

[DOI]

Proceedings of the Third Conference on Machine Learning and Systems, 2020

Improving the Accuracy, Scalability, and Performance of Graph Neural Networks with Roc.

[BibT_eX]

[DOI]

Proceedings of the Third Conference on Machine Learning and Systems, 2020

Selection via Proxy: Efficient Data Selection for Deep Learning.

[BibT_eX]

[DOI]

Cody Coleman

Christopher Yeh

Stephen Mussmann

Baharan Mirzasoleiman

Proceedings of the 8th International Conference on Learning Representations, 2020

A Polystore Based Database Operating System (DBOS).

[BibT_eX]

[DOI]

Proceedings of the Heterogeneous Data Management, Polystores, and Analytics for Healthcare, 2020

PPMLP 2020: Workshop on Privacy-Preserving Machine Learning In Practice.

[BibT_eX]

[DOI]

Proceedings of the CCS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, 2020

Fleet: A Framework for Massively Parallel Streaming on FPGAs.

[BibT_eX]

[DOI]

James Thomas

Pat Hanrahan

Proceedings of the ASPLOS '20: Architectural Support for Programming Languages and Operating Systems, 2020

2019

Outsourcing Everyday Jobs to Thousands of Cloud Functions with gg.

[BibT_eX]

[DOI]

Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark.

[BibT_eX]

[DOI]

ACM SIGOPS Oper. Syst. Rev., 2019

BlazeIt: Optimizing Declarative Aggregation and Limit Queries for Neural Network-Based Video Analytics.

[BibT_eX]

[DOI]

Daniel Kang

Proc. VLDB Endow., 2019

ObliDB: Oblivious Query Processing for Secure Databases.

[BibT_eX]

[DOI]

Saba Eskandarian

Proc. VLDB Endow., 2019

MLPerf Training Benchmark.

[BibT_eX]

[DOI]

CoRR, 2019

Automated Lower Bounds on the I/O Complexity of Computation Graphs.

[BibT_eX]

[DOI]

Saachi Jain

Dimitris S. Papailiopoulos

CoRR, 2019

SysML: The New Frontier of Machine Learning Systems.

[BibT_eX]

[DOI]

Alexandros G. Dimakis

Anastasios Kyrillidis

CoRR, 2019

From Laptop to Lambda: Outsourcing Everyday Jobs to Thousands of Transient Functional Containers.

[BibT_eX]

[DOI]

Proceedings of the 2019 USENIX Annual Technical Conference, 2019

Optimizing data-intensive computations in existing libraries with split annotations.

[BibT_eX]

[DOI]

Shoumik Palkar

Proceedings of the 27th ACM Symposium on Operating Systems Principles, 2019

PipeDream: generalized pipeline parallelism for DNN training.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM Symposium on Operating Systems Principles, 2019

TASO: optimizing deep learning computation with automatic generation of graph substitutions.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM Symposium on Operating Systems Principles, 2019

Beyond Data and Model Parallelism for Deep Neural Networks.

[BibT_eX]

[DOI]

Zhihao Jia

Alex Aiken

Proceedings of the Second Conference on Machine Learning and Systems, SysML 2019, 2019

Optimizing DNN Computation with Relaxed Graph Substitutions.

[BibT_eX]

[DOI]

Proceedings of the Second Conference on Machine Learning and Systems, SysML 2019, 2019

LIT: Learned Intermediate Representation Training for Model Compression.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

To Index or Not to Index: Optimizing Exact Maximum Inner Product Search.

[BibT_eX]

[DOI]

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Lessons from Large-Scale Software as a Service at Databricks.

[BibT_eX]

[DOI]

Proceedings of the ACM Symposium on Cloud Computing, SoCC 2019, 2019

Challenges and Opportunities in DNN-Based Video Analytics: A Demonstration of the BlazeIt Video Query Engine.

[BibT_eX]

[DOI]

Daniel Kang

Proceedings of the 9th Biennial Conference on Innovative Data Systems Research, 2019

2018

Big Data Platforms for Data Analytics.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Evaluating End-to-End Optimization for Data Analytics Applications in Weld.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2018

Filter Before You Parse: Faster Analytics on Raw Data with Sparser.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2018

DIFF: A Relational Interface for Large-Scale Data Explanation.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2018

Accelerating the Machine Learning Lifecycle with MLflow.

[BibT_eX]

[DOI]

IEEE Data Eng. Bull., 2018

Splitability Annotations: Optimizing Black-Box Function Composition in Existing Libraries.

[BibT_eX]

[DOI]

Shoumik Palkar

CoRR, 2018

LIT: Block-wise Intermediate Representation Training for Model Compression.

[BibT_eX]

[DOI]

CoRR, 2018

BlazeIt: Fast Exploratory Video Queries using Neural Networks.

[BibT_eX]

[DOI]

Daniel Kang

CoRR, 2018

MISTIQUE: A System to Store and Query Model Intermediates for Model Diagnosis.

[BibT_eX]

[DOI]

Manasi Vartak

Joana M. F. da Trindade

Samuel Madden

Proceedings of the 2018 International Conference on Management of Data, 2018

Structured Streaming: A Declarative API for Real-Time Applications in Apache Spark.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Conference on Management of Data, 2018

2017

NoScope: Optimizing Deep CNN-Based Queries over Video Streams at Scale.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2017

An Oblivious General-Purpose SQL Database for the Cloud.

[BibT_eX]

[DOI]

Saba Eskandarian

CoRR, 2017

Weld: Rethinking the Interface Between Data-Intensive Applications.

[BibT_eX]

[DOI]

CoRR, 2017

Optimizing Deep CNN-Based Queries over Video Streams at Scale.

[BibT_eX]

[DOI]

CoRR, 2017

Infrastructure for Usable Machine Learning: The Stanford DAWN Project.

[BibT_eX]

[DOI]

CoRR, 2017

SimDex: Exploiting Model Similarity in Exact Matrix Factorization Recommendations.

[BibT_eX]

[DOI]

CoRR, 2017

Stadium: A Distributed Metadata-Private Messaging System.

[BibT_eX]

[DOI]

Proceedings of the 26th Symposium on Operating Systems Principles, 2017

Splinter: Practical Private Queries on Public Data.

[BibT_eX]

[DOI]

Proceedings of the 14th USENIX Symposium on Networked Systems Design and Implementation, 2017

DIY Hosting for Online Privacy.

[BibT_eX]

[DOI]

Shoumik Palkar

Proceedings of the 16th ACM Workshop on Hot Topics in Networks, Palo Alto, CA, USA, 2017

A Common Runtime for High Performance Data Analysis.

[BibT_eX]

[DOI]

Proceedings of the 8th Biennial Conference on Innovative Data Systems Research, 2017

Making caches work for graph analytics.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Voodoo - A Vector Algebra for Portable Database Performance on Modern Hardware.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2016

MLlib: Machine Learning in Apache Spark.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2016

Stadium: A Distributed Metadata-Private Messaging System.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2016

Optimizing Cache Performance for Graph Analytics.

[BibT_eX]

[DOI]

CoRR, 2016

Apache Spark: a unified engine for big data processing.

[BibT_eX]

[DOI]

Commun. ACM, 2016

SparkR: Scaling R Programs with Spark.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Conference on Management of Data, 2016

ModelDB: a system for machine learning model management.

[BibT_eX]

[DOI]

Proceedings of the Workshop on Human-In-the-Loop Data Analytics, 2016

Introduction to Spark 2.0 for Database Researchers.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Conference on Management of Data, 2016

FairRide: Near-Optimal, Fair Cache Sharing.

[BibT_eX]

[DOI]

Proceedings of the 13th USENIX Symposium on Networked Systems Design and Implementation, 2016

Yggdrasil: An Optimized System for Training Deep Decision Trees at Scale.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Matrix Computations and Optimization in Apache Spark.

[BibT_eX]

[DOI]

Evan Randall Sparks

Aaron Staple

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

GraphFrames: an integrated API for mixing graph and relational queries.

[BibT_eX]

[DOI]

Proceedings of the Fourth International Workshop on Graph Data Management Experiences and Systems, Redwood Shores, CA, USA, June 24, 2016

2015

Scaling Spark in the Real World: Performance and Usability.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2015

linalg: Matrix Computations in Apache Spark.

[BibT_eX]

[DOI]

Evan Randall Sparks

Alexander Ulanov

CoRR, 2015

Vuvuzela: scalable private messaging resistant to traffic analysis.

[BibT_eX]

[DOI]

Proceedings of the 25th Symposium on Operating Systems Principles, 2015

Spark SQL: Relational Data Processing in Spark.

[BibT_eX]

[DOI]

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

2014

Tachyon: Reliable, Memory Speed Storage for Cluster Computing Frameworks.

[BibT_eX]

[DOI]

Proceedings of the ACM Symposium on Cloud Computing, 2014

2013

An Architecture for and Fast and General Data Processing on Large Clusters.

[BibT_eX]

[DOI]

Matei A. Zaharia

PhD thesis, 2013

Large-Scale Estimation in Cyberphysical Systems Using Streaming Data: A Case Study With Arterial Traffic Estimation.

[BibT_eX]

[DOI]

IEEE Trans Autom. Sci. Eng., 2013

Discretized streams: fault-tolerant streaming computation at scale.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGOPS 24th Symposium on Operating Systems Principles, 2013

Sparrow: distributed, low latency scheduling.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGOPS 24th Symposium on Operating Systems Principles, 2013

Shark: SQL and rich analytics at scale.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

Choosy: max-min fair sharing for datacenter jobs with constraints.

[BibT_eX]

[DOI]

Proceedings of the Eighth Eurosys Conference 2013, 2013

2012

Fast and Interactive Analytics over Hadoop Data with Spark.

[BibT_eX]

[DOI]

James Murphy McCauley

Michael J. Franklin

Scott Shenker

Ion Stoica

Large Scale Estimation in Cyberphysical Systems using Streaming Data: a Case Study with Smartphone Traces

[BibT_eX]

[DOI]

CoRR, 2012

Cloud Terminal: Secure Access to Sensitive Applications from Untrusted Systems.

[BibT_eX]

[DOI]

Proceedings of the 2012 USENIX Annual Technical Conference, 2012

Shark: fast data analysis using coarse-grained distributed memory.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

Multi-resource fair queueing for packet processing.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGCOMM 2012 Conference, 2012

Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing.

[BibT_eX]

[DOI]

Proceedings of the 9th USENIX Symposium on Networked Systems Design and Implementation, 2012

Discretized Streams: An Efficient and Fault-Tolerant Model for Stream Processing on Large Clusters.

[BibT_eX]

[DOI]

Proceedings of the 4th USENIX Workshop on Hot Topics in Cloud Computing, 2012

Optimally Designing Games for Cognitive Science Research.

[BibT_eX]

[DOI]

Anna N. Rafferty