Tim Kraska

Tim Kraska

Massachusetts Institute of Technology

H-index: 58

North America-United States

About Tim Kraska

Tim Kraska, With an exceptional h-index of 58 and a recent h-index of 48 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of Systems for ML, ML for Systems.

His recent articles reflect a diverse array of research interests and contributions to the field:

Stage: Query Execution Time Prediction in Amazon Redshift

Predicate caching: Query-driven secondary indexing for cloud data warehouses

Intelligent scaling in Amazon Redshift

Automated multidimensional data layouts in Amazon Redshift

Panda: Performance debugging for databases using LLM agents

Piperag: Fast retrieval-augmented generation via algorithm-system co-design

Robust query driven cardinality estimation under changing workloads

Technical Perspective for Sherman: A Write-Optimized Distributed B+ Tree Index on Disaggregated Memory

Tim Kraska Information

University

Position

___

Citations(all)

13722

Citations(since 2020)

8490

Cited By

8230

hIndex(all)

58

hIndex(since 2020)

48

i10Index(all)

138

i10Index(since 2020)

118

Email

University Profile Page

Massachusetts Institute of Technology

Google Scholar

View Google Scholar Profile

Tim Kraska Skills & Research Interests

Systems for ML

ML for Systems

Top articles of Tim Kraska

Title

Journal

Author(s)

Publication Date

Stage: Query Execution Time Prediction in Amazon Redshift

arXiv preprint arXiv:2403.02286

Ziniu Wu

Ryan Marcus

Zhengchun Liu

Parimarjan Negi

Vikram Nathan

...

2024/3/4

Predicate caching: Query-driven secondary indexing for cloud data warehouses

Tobias Schmidt

Andreas Kipf

Dominik Horn

Gaurav Saxena

Tim Kraska

2024

Intelligent scaling in Amazon Redshift

Vikram Nathan

Vikramank Singh

Zhengchun Liu

Mohammad Rahman

Andreas Kipf

...

2024

Automated multidimensional data layouts in Amazon Redshift

Jialin Ding

Matt Abrams

Sanghita Bandyopadhyay

Luciano Di Palma

Yanzhu Ji

...

2024

Panda: Performance debugging for databases using LLM agents

Vikramank Singh

Kapil Eknath Vaidya

Vinayshekhar Bannihatti Kumar

Sopan Khosla

Murali Narayanaswamy

...

2024

Piperag: Fast retrieval-augmented generation via algorithm-system co-design

arXiv preprint arXiv:2403.05676

Wenqi Jiang

Shuai Zhang

Boran Han

Jie Wang

Bernie Wang

...

2024/3/8

Robust query driven cardinality estimation under changing workloads

Proceedings of the VLDB Endowment

Parimarjan Negi

Ziniu Wu

Andreas Kipf

Nesime Tatbul

Ryan Marcus

...

2023/2/1

Technical Perspective for Sherman: A Write-Optimized Distributed B+ Tree Index on Disaggregated Memory

ACM SIGMOD Record

Tim Kraska

2023/6/8

Extract-transform-load for video streams

arXiv preprint arXiv:2310.04830

Ferdinand Kossmann

Ziniu Wu

Eugenie Lai

Nesime Tatbul

Lei Cao

...

2023/10/7

CorBit: Leveraging Correlations for Compressing Bitmap Indexes

Xi Lyu

Andreas Kipf

Pascal Pfeil

Dominik Horn

Jana Giceva

...

2023

Auto-WLM: Machine learning enhanced workload management in Amazon Redshift

Gaurav Saxena

Mohammad Rahman

Naresh Chainani

Chunbin Lin

George Caragea

...

2023/6/4

Seed: Domain-specific data curation with large language models

arXiv e-prints

Zui Chen

Lei Cao

Sam Madden

Tim Kraska

Zeyuan Shang

...

2023/10

Hyperspecialized Compilation for Serverless Data Analytics

Leonhard Spiegelberg

Tim Kraska

Malte Schwarzkopf

2023

FactorJoin: a new cardinality estimation framework for join queries

Proceedings of the ACM on Management of Data

Ziniu Wu

Parimarjan Negi

Mohammad Alizadeh

Tim Kraska

Samuel Madden

2023/5/30

Seed: Simple, efficient, and effective data management via large language models

arXiv preprint arXiv:2310.00749

Zui CHen

Lei Cao

Sam Madden

Ju Fan

Nan Tang

...

2023/10/1

Designing an energy-efficient, learning-enhanced algorithm to sort 1TB of ASCII data

Sort Benchmark. Retrieved December

Ani Kristo

Padmanabhan Pillai

Tim Kraska

2023

Parallel External Sorting of ASCII Records Using Learned Models

arXiv preprint arXiv:2305.05671

Ani Kristo

Tim Kraska

2023/5/8

Visual data computing platform using a progressive computation engine

2023/9/14

Should Drag-and-Drop Analytics Become Part of the Data Scientist Toolkit?

Benedetto J Buratti

Philipp Eichmann

Zeyuan Shang

Emanuel Zgraggen

Jack Blanc

...

2023

Unshackling Database Benchmarking from Synthetic Workloads

Parimarjan Negi

Laurent Bindschaedler

Mohammad Alizadeh

Tim Kraska

Jyoti Leeka

...

2023/4/3

See List of Professors in Tim Kraska University(Massachusetts Institute of Technology)

Co-Authors

H-index: 203
Michael I. Jordan

Michael I. Jordan

University of California, Berkeley

H-index: 124
David Patterson

David Patterson

University of California, Berkeley

H-index: 112
Samuel Madden

Samuel Madden

Massachusetts Institute of Technology

H-index: 106
Michael Franklin

Michael Franklin

University of Chicago

H-index: 84
Stanley Zdonik

Stanley Zdonik

Brown University

H-index: 63
John Duchi

John Duchi

Stanford University

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