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
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