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SPOOF: Sum-Product Optimization and Operator Fusion for Large-Scale Machine Learning

Summary: Introduces Spoof, an automatic framework that unifies algebraic simplification (sum-product) rewrites and operator fusion/codegen for ML DAGs to exploit linear-algebra properties and sparsity. Produces fused kernels with performance close to hand-tuned code and modest compile overhead. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
298
Venue
CIDR
Year
2017
Pagerank
6.1261819e-05
Overall Rank
4,508 | 68.68%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 12 of 12 citing papers.

Rank Citing Paper Year Venue Pagerank
1,283 Towards Linear Algebra over Normalized Data 2017 VLDB 0.00012826013
1,534 Data Management in Machine Learning: Challenges, Techniques, and Systems 2017 SIGMOD 0.00011462072
2,197 Enabling and Optimizing Non-linear Feature Interactions in Factorized Linear Algebra 2019 SIGMOD 9.3117431e-05
2,355 An Intermediate Representation for Optimizing Machine Learning Pipelines 2019 VLDB 8.9727612e-05
3,280 A Layered Aggregate Engine for Analytics Workloads 2019 SIGMOD 7.2813732e-05
3,920 On Optimizing Operator Fusion Plans for Large-Scale Machine Learning in SystemML 2018 VLDB 6.6246708e-05
4,779 LIMA: Fine-grained Lineage Tracing and Reuse in Machine Learning Systems 2021 SIGMOD 5.9259373e-05
4,835 MNC: Structure-Exploiting Sparsity Estimation for Matrix Expressions 2019 SIGMOD 5.8861112e-05
5,497 SPORES: Sum-Product Optimization via Relational Equality Saturation for Large Scale Linear Algebra 2020 VLDB 5.4741034e-05
8,258 FuseME: Distributed Matrix Computation Engine based on Cuboid-based Fused Operator and Plan Generation 2022 SIGMOD 4.5424271e-05
8,515 UPLIFT: Parallelization Strategies for Feature Transformations in Machine Learning Workloads 2022 VLDB 4.4901466e-05
11,341 Redundancy Elimination in Distributed Matrix Computation 2022 SIGMOD 4.1905499e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 23 of 23 cited papers.

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

Rank Cited Paper Year Venue Pagerank
51 Including Group-By in Query Optimization 1994 VLDB 0.00067060283
59 Efficiently Compiling Efficient Query Plans for Modern Hardware 2011 VLDB 0.0006445664
249 Eager Aggregation and Lazy Aggregation 1995 VLDB 0.00030773137
557 SystemML: Declarative Machine Learning on Spark 2016 VLDB 0.00020186115
564 FAQ: Questions Asked Frequently 2016 PODS 0.00020002796
638 Towards a Unified Architecture for in-RDBMS Analytics 2012 SIGMOD 0.00018810785
701 Building Efficient Query Engines in a High-Level Language 2014 VLDB 0.00017893039
832 Learning Linear Regression Models over Factorized Joins 2016 SIGMOD 0.00016089705
851 Scaling Factorization Machines to Relational Data 2013 VLDB 0.00015909639
1,074 RIOT: I/O-Efficient Numerical Computing without SQL 2009 CIDR 0.00014238255
1,172 Learning Generalized Linear Models Over Normalized Data 2015 SIGMOD 0.00013504249
1,255 Aggregation and Ordering in Factorised Databases 2013 VLDB 0.00013011216
1,260 Data Blocks: Hybrid OLTP and OLAP on Compressed Storage using both Vectorization and Compilation 2016 SIGMOD 0.00012990853
1,875 An Architecture for Compiling UDF-centric Workflows 2015 VLDB 0.00010243959
1,970 Compressed Linear Algebra for Large-Scale Machine Learning 2016 VLDB 9.9024431e-05
2,383 How to Architect a Query Compiler 2016 SIGMOD 8.9198524e-05
2,672 Cumulon: Optimizing Statistical Data Analysis in the Cloud 2013 SIGMOD 8.3334428e-05
4,319 Fast Queries Over Heterogeneous Data Through Engine Customization 2016 VLDB 6.2823814e-05
4,390 Estimating Compilation Time of a Query Optimizer 2003 SIGMOD 6.2193128e-05
4,807 Resource Elasticity for Large-Scale Machine Learning 2015 SIGMOD 5.9045148e-05
6,540 Profiling R on a Contemporary Processor 2015 VLDB 5.0168106e-05
7,828 Measuring and Optimizing Distributed Array Programs 2016 VLDB 4.6374634e-05
7,880 DBToaster: Agile Views in a Dynamic Data Management System 2011 CIDR 4.6250755e-05
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