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Tuple-oriented Compression for Large-scale Mini-batch Stochastic Gradient Descent

Summary: Proposes tuple-oriented compression (TOC) for mini-batch SGD, preserving tuple boundaries while using LZW-inspired coding. Enables compressed-domain matrix operations on TOC, delivering up to 51x compression and 10.2x speedups for MGD workloads with no decompression overhead. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5602
Venue
SIGMOD
Year
2019
Pagerank
5.0184189e-05
Overall Rank
6,535 | 54.59%
DOI
10.1145/3299869.3300070

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Showing 18 of 18 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
132 Integrating Compression and Execution in Column-Oriented Database Systems 2006 SIGMOD 0.00043697853
139 The MADlib Analytics Library or MAD Skills, the SQL 2012 VLDB 0.00042320525
241 DB2 with BLU Acceleration: So Much More than Just a Column Store 2013 VLDB 0.00031314629
543 MLbase: A Distributed Machine-learning System 2013 CIDR 0.0002050918
638 Towards a Unified Architecture for in-RDBMS Analytics 2012 SIGMOD 0.00018810785
832 Learning Linear Regression Models over Factorized Joins 2016 SIGMOD 0.00016089705
901 To Join or Not to Join? Thinking Twice about Joins before Feature Selection 2016 SIGMOD 0.00015462938
1,165 Simulation of Database-Valued Markov Chains Using SimSQL 2013 SIGMOD 0.00013567206
1,172 Learning Generalized Linear Models Over Normalized Data 2015 SIGMOD 0.00013504249
1,267 BitWeaving: Fast Scans for Main Memory Data Processing 2013 SIGMOD 0.00012917585
1,283 Towards Linear Algebra over Normalized Data 2017 VLDB 0.00012826013
1,407 Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML 2014 VLDB 0.00012163413
1,970 Compressed Linear Algebra for Large-Scale Machine Learning 2016 VLDB 9.9024431e-05
2,821 An Experimental Study of Bitmap Compression vs. Inverted List Compression 2017 SIGMOD 8.0639288e-05
3,640 Bolt-on Differential Privacy for Scalable Stochastic Gradient Descent-based Analytics 2017 SIGMOD 6.8886042e-05
4,394 Scalable Asynchronous Gradient Descent Optimization for Out-of-Core Models 2017 VLDB 6.2173726e-05
6,984 A Cost-based Optimizer for Gradient Descent Optimization 2017 SIGMOD 4.8680519e-05
7,171 Leveraging Compression in the Tableau Data Engine 2014 SIGMOD 4.8071091e-05
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