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 /

Detalles Bibliográficos
Autor Corporativo:	SpringerLink (Online service)
Otros Autores:	Blanas, Spyros. (Editor ), Bordawekar, Rajesh. (Editor ), Lahiri, Tirthankar. (Editor ), Levandoski, Justin. (Editor ), Pavlo, Andrew. (Editor )
Formato:	eBook
Lenguaje:	English
Publicado:	Cham : Springer International Publishing : Imprint: Springer, 2017.
Edición:	1st ed. 2017.
Colección:	Information Systems and Applications, incl. Internet/Web, and HCI ; 10195
Materias:	Database management. Information storage and retrieval. Application software. Computer communication systems. Software engineering. Data structures (Computer science). Database Management. Information Storage and Retrieval. Information Systems Applications (incl. Internet). Computer Communication Networks. Software Engineering. Data Storage Representation.
Acceso en línea:	https://doi.org/10.1007/978-3-319-56111-0

Tabla de Contenidos:

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.

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