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Author International Workshop on Accelerating Data Analysis and Data Management Systems Using Modern Processor and Storage Architectures (7th : 2016 : New Delhi, India)

Title Data management on new hardware : 7th International Workshop on Accelerating Data Analysis and Data Management Systems Using Modern Processor and Storage Architectures, ADMS 2016 and 4th International Workshop on In-Memory Data Management and Analytics, IMDM 2016, New Delhi, India, September 1, 2016, Revised selected papers / Spyros Blanas, Rajesh Bordawekar, Tirthankar Lahiri, Justin Levandoski, Andrew Pavlo (eds)
Published Cham, Switzerland : Springer, 2017
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Description 1 online resource (vii, 167 pages) : illustrations
Series LNCS sublibrary. SL 3, Information systems and applications, incl. Internet/Web, and HCI
Lecture notes in computer science, 0302-9743 ; 10195
LNCS sublibrary. SL 3, Information systems and applications, incl. Internet/Web, and HCI.
Lecture notes in computer science ; 10195. 0302-9743
Contents Accelerating analytics/data management systems -- Workloads (including traditional OLTP, data warehousing/OLAP, ETL streaming/real-time, business analytics, and XML/RDF processing) -- Running memory-only environments, using processors (e.g. commodity and specialized multi-core, GPUs and FPGAs, storage systems (e.g. storage-class memories like SSDs and phase-change memory) -- Hybrid programming models like CUDA, OpenCL, and Open ACC -- Interplay between overall system design, core algorithms, query optimization strategies, programming approaches, performance modeling and evaluation, from the perspective of data management applications
Summary This book contains selected papers from the 7th International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures, ADMS 2016, and the 4th International Workshop on In-Memory Data Management and Analytics, IMDM 2016, held in New Dehli, India, in September 2016. The joint Workshops were co-located with VLDB 2016. The 9 papers presented were carefully reviewed and selected from 18 submissions. They investigate opportunities in accelerating analytics/data management systems and workloads (including traditional OLTP, data warehousing/OLAP, ETL streaming/real-time, business analytics, and XML/RDF processing) running memory-only environments, using processors (e.g. commodity and specialized multi-core, GPUs and FPGAs, storage systems (e.g. storage-class memories like SSDs and phase-change memory), and hybrid programming models like CUDA, OpenCL, and Open ACC. The papers also explore the interplay between overall system design, core algorithms, query optimization strategies, programming approaches, performance modeling and evaluation, from the perspective of data management applications
Notes Includes author index
Online resource; title from PDF title page (SpringerLink, viewed April 4, 2017)
Subject Database management -- Congresses.
Memory management (Computer science) -- Congresses.
Genre/Form Conference papers and proceedings.
Conference papers and proceedings.
Form Electronic book
Author Blanas, Spyros, editor
Bordawekar, Rajesh, editor
Lahiri, Tirthankar, editor
Levandoski, Justin, editor
Pavlo, Andrew, editor
IMDM (Workshop) (4th : 2016 : New Delhi, India), jointly held conference
ISBN 3319561111 (electronic bk.)
9783319561110 (electronic bk.)
(print)
Other Titles ADMS 2016
IMDM 2016