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: 5075
Venue: SIGMOD
Year: 2015
Pagerank: 8.0665558e-05
Overall Rank: 2,818 | 80.40%
DOI: 10.1145/2723372.2750543

Incoming Non-self Citations Over Time

Authors

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	0.00020197988
1,391	Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads	2018	VLDB	0.0001223506
1,532	Data Management in Machine Learning: Challenges, Techniques, and Systems	2017	SIGMOD	0.00011472681
2,350	An Intermediate Representation for Optimizing Machine Learning Pipelines	2019	VLDB	8.9788641e-05
2,896	Evaluating End-to-End Optimization for Data Analytics Applications in Weld	2018	VLDB	7.9452051e-05
3,918	On Optimizing Operator Fusion Plans for Large-Scale Machine Learning in SystemML	2018	VLDB	6.6315176e-05
4,677	Automatically Leveraging MapReduce Frameworks for Data-Intensive Applications	2018	SIGMOD	6.0047822e-05
5,427	The NebulaStream Platform: Data and Application Management for the Internet of Things	2020	CIDR	5.509468e-05
5,731	Babelfish: Efficient Execution of Polyglot Queries	2022	VLDB	5.3502065e-05
6,322	The BUDS Language for Distributed Bayesian Machine Learning	2017	SIGMOD	5.1124615e-05
6,658	Scalable Querying of Nested Data	2021	VLDB	4.9711629e-05
7,476	Lachesis: Automatic Partitioning for UDF-Centric Analytics	2021	VLDB	4.7188928e-05
9,001	The Power of Nested Parallelism in Big Data Processing – Hitting Three Flies with One Slap –	2021	SIGMOD	4.4107627e-05
9,437	BlockJoin: Efficient Matrix Partitioning Through Joins	2017	VLDB	4.3425552e-05
11,513	TraNCE: Transforming Nested Collections Efficiently	2021	VLDB	4.1945683e-05
11,840	Emma in Action: Declarative Dataflows for Scalable Data Analysis	2016	SIGMOD	4.1945683e-05

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.

Rank	Cited Paper	Year	Venue	Pagerank
3	Pig Latin: A Not-So-Foreign Language for Data Processing	2008	SIGMOD	0.0024183614
22	SCOPE: Easy and Efficient Parallel Processing of Massive Data Sets	2008	VLDB	0.0008456613
51	Including Group-By in Query Optimization	1994	VLDB	0.00067123727
70	Hive - A Warehousing Solution Over a Map-Reduce Framework	2009	VLDB	0.00059533166
202	LINQ: Reconciling Objects, Relations and XML in the .NET Framework	2006	SIGMOD	0.00034920912
413	HaLoop: Efficient Iterative Data Processing on Large Clusters	2010	VLDB	0.00023904409
1,265	Jaql: A Scripting Language for Large Scale Semistructured Data Analysis	2011	VLDB	0.00012947629
2,172	Spinning Fast Iterative Data Flows	2012	VLDB	9.3706587e-05
4,166	Sloth: Being Lazy is a Virtue (When Issuing Database Queries)	2014	SIGMOD	6.391976e-05
4,209	FERRY - Database-Supported Program Execution	2009	SIGMOD	6.3572003e-05

Semantically Similar Papers

Overall Rank	Paper	Year	Venue	Pagerank
1,873	An Architecture for Compiling UDF-centric Workflows	2015	VLDB	0.00010253002
6,658	Scalable Querying of Nested Data	2021	VLDB	4.9711629e-05
1,110	Parallel Evaluation of Conjunctive Queries	2011	PODS	0.00013968198
4,677	Automatically Leveraging MapReduce Frameworks for Data-Intensive Applications	2018	SIGMOD	6.0047822e-05
8,534	Translation of Array-Based Loops to Distributed Data-Parallel Programs	2020	VLDB	4.4937074e-05
1,355	SQL/MapReduce: A practical approach to self-describing, polymorphic, and parallelizable user-defined functions	2009	VLDB	0.00012404572
22	SCOPE: Easy and Efficient Parallel Processing of Massive Data Sets	2008	VLDB	0.0008456613
2,172	Spinning Fast Iterative Data Flows	2012	VLDB	9.3706587e-05
1,402	Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML	2014	VLDB	0.00012180605
11,840	Emma in Action: Declarative Dataflows for Scalable Data Analysis	2016	SIGMOD	4.1945683e-05