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Mahadevan Sankara Subramanian

dblp:39/11411 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2012
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
1 paper
Query processing and optimization · 77% Database system architecture and tuning · 23%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Parallel and multicore computing · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Query processing and optimization › query optimization
distributed query optimization		 0.112012
Query optimization in microsoft SQL server PDW · SIGMOD Conference 2012
Database system architecture and tuning
parallel database system		 0.012012
Query optimization in microsoft SQL server PDW · SIGMOD Conference 2012
Parallel and multicore computing › parallel architecture
massively parallel processing		 0.012012
Query optimization in microsoft SQL server PDW · SIGMOD Conference 2012
YearPublicationVenuePosition
2012 Query optimization in microsoft SQL server PDW
abstract
In recent years, Massively Parallel Processors have increasingly been used to manage and query vast amounts of data. Dramatic performance improvements are achieved through distributed execution of queries across many nodes. Query optimization for such system is a challenging and important problem.
Srinath Shankar, Rimma V. Nehme, Josep Aguilar-Saborit, Mostafa Elhemali, Alan Halverson, Eric Robinson, Mahadevan Sankara Subramanian, David J. DeWitt, César A. Galindo-Legaria
 SIGMOD Conference8