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International Workshop on Accelerating Data Analysis and Data Management Systems Using Modern Processor and Storage Architectures (2016 :)

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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 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Data management on new hardware/ edited by Spyros Blanas ... [et al.].
其他題名:	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 /
其他題名:	ADMS 2016
其他作者:	Blanas, Spyros.
團體作者:	International Workshop on Accelerating Data Analysis and Data Management Systems Using Modern Processor and Storage Architectures
出版者:	Cham :Springer International Publishing : : 2017.,
面頁冊數:	vii, 167 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer eBooks
標題:	Memory management (Computer science) - Congresses. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-56111-0
ISBN:	9783319561110

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 /
Data management on new hardware7th 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 /[electronic resource] :ADMS 2016edited by Spyros Blanas ... [et al.]. - Cham :Springer International Publishing :2017. - vii, 167 p. :ill., digital ;24 cm. - Lecture notes in computer science,101950302-9743 ;. - Lecture notes in computer science ;10195..

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.

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.

ISBN: 9783319561110

Standard No.: 10.1007/978-3-319-56111-0doiSubjects--Topical Terms:

1072266
Memory management (Computer science)
--Congresses.

LC Class. No.: QA76.9.M45

Dewey Class. No.: 005.435

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