Hardware Acceleration for Query Processing: Leveraging FPGAs, CPUs, and Memory
Autor: | Oscar Palomar, Oriol Arcas-Abella, Timothy Hayes, Adria Armejach, Behzad Salami, Gorker Alp Malazgirt, Nehir Sonmez |
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Přispěvatelé: | Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors, Universitat Politècnica de Catalunya. Doctorat en Arquitectura de Computadors, Barcelona Supercomputing Center, Universitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions |
Rok vydání: | 2016 |
Předmět: |
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 |
Zdroj: | UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) |
ISSN: | 1521-9615 |
Popis: | 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. |
Databáze: | OpenAIRE |
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