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Implicit Parallelism through Deep Language Embedding

Summary: Deeply embed data-analysis APIs in a host language to hide parallelism behind an IR and expose declarative dataflows. A compiler pipeline yields efficient data-parallel plans, removing runtime-engine syntax and showing gains on two systems. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5076
Venue
SIGMOD
Year
2015
Pagerank
8.0593793e-05
Overall Rank
2,823 | 80.39%
DOI
10.1145/2723372.2750543

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 16 of 16 citing papers.

Rank Citing Paper Year Venue Pagerank
557 SystemML: Declarative Machine Learning on Spark 2016 VLDB 0.00020186115
1,393 Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads 2018 VLDB 0.00012223372
1,534 Data Management in Machine Learning: Challenges, Techniques, and Systems 2017 SIGMOD 0.00011462072
2,355 An Intermediate Representation for Optimizing Machine Learning Pipelines 2019 VLDB 8.9727612e-05
2,904 Evaluating End-to-End Optimization for Data Analytics Applications in Weld 2018 VLDB 7.9403097e-05
3,920 On Optimizing Operator Fusion Plans for Large-Scale Machine Learning in SystemML 2018 VLDB 6.6246708e-05
4,676 Automatically Leveraging MapReduce Frameworks for Data-Intensive Applications 2018 SIGMOD 5.9992323e-05
5,438 The NebulaStream Platform: Data and Application Management for the Internet of Things 2020 CIDR 5.5041764e-05
5,741 Babelfish: Efficient Execution of Polyglot Queries 2022 VLDB 5.3450701e-05
6,321 The BUDS Language for Distributed Bayesian Machine Learning 2017 SIGMOD 5.1075833e-05
6,661 Scalable Querying of Nested Data 2021 VLDB 4.9663934e-05
7,459 Lachesis: Automatic Partitioning for UDF-Centric Analytics 2021 VLDB 4.7199075e-05
9,008 The Power of Nested Parallelism in Big Data Processing – Hitting Three Flies with One Slap – 2021 SIGMOD 4.4065351e-05
9,442 BlockJoin: Efficient Matrix Partitioning Through Joins 2017 VLDB 4.3384032e-05
11,517 TraNCE: Transforming Nested Collections Efficiently 2021 VLDB 4.1905499e-05
11,848 Emma in Action: Declarative Dataflows for Scalable Data Analysis 2016 SIGMOD 4.1905499e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

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

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