dissertation · QRU Quaderns de Recerca en Urbanisme · 2011

Decision Support Database Management System Acceleration Using Vector Processor

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Abstract

English: This work takes a top-down approach to accelerating decision support systems (DSS) on x86-64\n\t\t\t\t microprocessors using true vector ISA extensions. First, a state of art DSS database management\n\t\t\t\t system (DBMS) is pro led and bottlenecks are identi ed. From this, the bottlenecked\n\t\t\t\t functions are analysed for data-level parallelism and a discussion is given as to why the existing\n\t\t\t\t multimedia SIMD extensions (SSE) are not suitable for capturing this parallelism. A vector ISA\n\t\t\t\t is derived from what is found to be necessary in these functions; additionally, a complementary\n\t\t\t\t microarchitecture is proposed that draws on prior research done in vector microprocessors but\n\t\t\t\t is also optimised for the properties found in the pro led application. Finally, the ISA and microarchitecture\n\t\t\t\t are implemented and evaluated using a cycle-accurate x86-64 microarchitecture\n\t\t\t\t simulator.

Cite this paper

APA 7

Hayes, T. (2011). Decision Support Database Management System Acceleration Using Vector Processor. QRU Quaderns de Recerca en Urbanisme.

MLA 9

Hayes, Timothy. “Decision Support Database Management System Acceleration Using Vector Processor.” QRU Quaderns de Recerca en Urbanisme, 2011.

Chicago

Hayes, Timothy. 2011. “Decision Support Database Management System Acceleration Using Vector Processor.” QRU Quaderns de Recerca en Urbanisme.

Harvard

Hayes, T. (2011) ‘Decision Support Database Management System Acceleration Using Vector Processor’, QRU Quaderns de Recerca en Urbanisme.

BibTeX

@phdthesis{hayes2011decision,
  title = {{Decision Support Database Management System Acceleration Using Vector Processor}},
  author = {Hayes, Timothy},
  school = {QRU Quaderns de Recerca en Urbanisme},
  year = {2011}
}

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