DBScholar

Back to papers

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
he920ee1b443cd526
Venue
SIGMOD
Year
2015
Pagerank
8.0534972e-05
Overall Rank
2,754 | 81.49%
DOI
10.1145/2723372.2750543

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{alexandrov_sigmod15,
        title = {{Implicit Parallelism through Deep Language Embedding}},
        author = {Alexandrov, Alexander and Thamsen, Lauritz and Kunft, Andreas and Kao, Odej and Katsifodimos, Asterios and Herb, Tobias and Schüler, Felix and Markl, Volker},
        series = {{SIGMOD} '15},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2723372.2750543},
        url = {https://dl.acm.org/doi/10.1145/2723372.2750543},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

Showing 16 of 16 citing papers.

Rank Citing Paper Year Venue Pagerank
415 SystemML: Declarative Machine Learning on Spark 2016 VLDB 0.0001865959
1,255 Data Management in Machine Learning: Challenges, Techniques, and Systems 2017 SIGMOD 0.00011325762
2,036 Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads 2018 VLDB 9.1520279e-05
2,249 Evaluating End-to-End Optimization for Data Analytics Applications in Weld 2018 VLDB 8.7549752e-05
2,264 An Intermediate Representation for Optimizing Machine Learning Pipelines 2019 VLDB 8.7289107e-05
3,101 On Optimizing Operator Fusion Plans for Large-Scale Machine Learning in SystemML 2018 VLDB 7.649219e-05
4,654 Automatically Leveraging MapReduce Frameworks for Data-Intensive Applications 2018 SIGMOD 6.4849398e-05
5,230 Babelfish: Efficient Execution of Polyglot Queries 2022 VLDB 6.2189001e-05
5,343 The NebulaStream Platform: Data and Application Management for the Internet of Things 2020 CIDR 6.1708665e-05
6,144 The BUDS Language for Distributed Bayesian Machine Learning 2017 SIGMOD 5.8717563e-05
6,438 Scalable Querying of Nested Data 2021 VLDB 5.7851309e-05
7,386 Lachesis: Automatic Partitioning for UDF-Centric Analytics 2021 VLDB 5.538189e-05
9,034 The Power of Nested Parallelism in Big Data Processing – Hitting Three Flies with One Slap – 2021 SIGMOD 5.2334993e-05
9,822 BlockJoin: Efficient Matrix Partitioning Through Joins 2017 VLDB 5.1254832e-05
12,015 TraNCE: Transforming Nested Collections Efficiently 2021 VLDB 4.9793485e-05
12,336 Emma in Action: Declarative Dataflows for Scalable Data Analysis 2016 SIGMOD 4.9793485e-05
Previous Page 1 / 1 Next

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.

Previous Page 1 / 1 Next

Semantically Similar Papers