An architecture for fast and general data processing on large clusters

von Zaharia, Matei
Veröffentlicht 2016

Spark: the definitive guide : big data processing made simple

von Chambers, Bill
Veröffentlicht 2018

Data algorithms with spark : recipes and design patterns for scaling up using PySpark

von Parsian, Mahmoud
Veröffentlicht 2022

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

von Khattab, Omar
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 33 of 36 (2022)

Estimating and Explaining Model Performance When Both Covariates and Labels Shift

von Chen, Lingjiao
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 15 of 50 (2023)

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

von Kang, Daniel
Veröffentlicht in VLDB (46. : 2020 : Online) 46th International Conference on Very Large Data Bases ; Volume 1 of 5 (2020)

FRUGALML: HOW TO USE ML PREDICTION APIS MORE ACCURATELY AND CHEAPLY

von Chen, Lingjiao
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 13 of 27 (2021)

Learning Spark : [lightning-fast data analysis]

Veröffentlicht 2015

Heterogeneity-Aware Cluster Scheduling Policies for Deep Learning Workloads

von Narayanan, Deepak
Veröffentlicht in USENIX Symposium on Operating Systems Design and Implementation (14. : 2020 : Online) 14th USENIX Symposium on Operating Systems Design and Implementation (OSDI'20) ; Volume 1 of 2 (2020)

MEMORY-EFFICIENT PIPELINE-PARALLEL DNN TRAINING

von NARAYANAN, DEEPAK
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 10 of 16 (2022)

Approximate Selection with Guarantees using Proxies

von Kang, Daniel
Veröffentlicht in VLDB (46. : 2020 : Online) 46th International Conference on Very Large Data Bases ; Volume 3 of 5 (2020)

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

von Kraft, Peter
Veröffentlicht in VLDB (46. : 2020 : Online) 46th International Conference on Very Large Data Bases ; Volume 5 of 5 (2020)

Accelerating Approximate Aggregation Queries with Expensive Predicates

von Kang, Daniel
Veröffentlicht in VLDB (47. : 2021 : Kopenhagen; Online) 47th International Conference on Very Large Data Bases 2021 ; Part 3 of 4 (2021)

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

von Chen, Lingjiao
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 32 of 50 (2023)

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

von Balazinska, Magdalena
Veröffentlicht in International Conference on Very Large Data Bases (48. : 2022 : Sydney; Online) 48th International Conference on Very Large Data Bases (VLDB 2022) ; Part 6 of 6 (2023)

A Polystore Based Database Operating System (DBOS)

von Cafarella, Michael
Veröffentlicht in POLY (2020 : Online) Heterogeneous data management, polystores, and analytics for healthcare (2021)

DBOS: A DBMS-oriented Operating System

von Skiadopoulos, Athinagoras
Veröffentlicht in International Conference on Very Large Data Bases (48. : 2022 : Sydney; Online) 48th International Conference on Very Large Data Bases (VLDB 2022) ; Part 1 of 6 (2023)