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 /

Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Blanas, Spyros. (Editor), Bordawekar, Rajesh. (Editor), Lahiri, Tirthankar. (Editor), Levandoski, Justin. (Editor), Pavlo, Andrew. (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
Edition:1st ed. 2017.
Series:Information Systems and Applications, incl. Internet/Web, and HCI ; 10195
Subjects:
Online Access:https://doi.org/10.1007/978-3-319-56111-0
Table of 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.