1. Hardware Acceleration for Query Processing: Leveraging FPGAs, CPUs, and Memory
- Author
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Oscar Palomar, Oriol Arcas-Abella, Timothy Hayes, Adria Armejach, Behzad Salami, Gorker Alp Malazgirt, Nehir Sonmez, Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors, Universitat Politècnica de Catalunya. Doctorat en Arquitectura de Computadors, Barcelona Supercomputing Center, and Universitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions
- Subjects
General Computer Science ,Computer science ,Informàtica::Sistemes d'informació [Àrees temàtiques de la UPC] ,02 engineering and technology ,computer.software_genre ,Database management system ,01 natural sciences ,Hardware ,Software ,Relational database management system ,Component (UML) ,0103 physical sciences ,0202 electrical engineering, electronic engineering, information engineering ,Computer architecture ,Relational databases ,Field-programmable gate array ,Scientific computing ,010302 applied physics ,Matrius de portes programables per l'usuari ,business.industry ,Online analytical processing ,General Engineering ,Software development ,Field programmable gate arrays ,Supercomputing ,020202 computer hardware & architecture ,Bases de dades relacionals ,Memory management ,Hardware acceleration ,business ,Centres informàtics ,computer ,Data processing service centers - Abstract
Database management systems have become an indispensable tool for industry, government, and academia, and form a significant component of modern datacenters. They can be used in a multitude of scenarios, including online analytical processing, data mining, e-commerce, and scientific analysis. Given the exponential growth in new data produced each year, there is a pressure on software and hardware developers to create datacenters that can cope with increasing requirements. The authors look at the organization of a modern relational database management system and propose optimizations and redesign for the storage access, memory, and CPU. The research leading to these results has received funding from the EU’s Seventh Framework Programme (FP7/2007- 2013) under the AXLE project (grant 318633). Gorker Alp Malazgirt undertook this work with a Severo Ochoa grant at the Barcelona Supercomputing Center.
- Published
- 2016
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