Título:
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Stand-alone memory controller for graphics system
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Autor/a:
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Hussain, Tassadaq; Palomar Pérez, Óscar; Unsal, Osman Sabri; Cristal Kestelman, Adrián; Ayguadé Parra, Eduard; Valero Cortés, Mateo; Haider, Amna
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Otros autores:
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Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors; Universitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions |
Abstract:
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There has been a dramatic increase in the complexity of graphics applications in System-on-Chip (SoC) with a corresponding
increase in performance requirements. Various powerful and expensive
platforms to support graphical applications appeared recently. All these
platforms require a high performance core that manages and schedules
the high speed data of graphics peripherals (camera, display, etc.) and
an efficient on chip scheduler. In this article we design and propose a SoC
based Programmable Graphics Controller (PGC) that handles graphics
peripherals efficiently. The data access patterns are described in the pro-
gram memory; the PGC reads them, generates transactions and manages
both bus and connected peripherals without the support of a master core.
The proposed system is highly reliable in terms of cost, performance and
power. The PGC based system is implemented and tested on a Xilinx
ML505 FPGA board. The performance of the PGC is compared with
the Microblaze processor based graphic system. When compared with
the baseline system, the results show that the PGC captures video at 2x
of higher frame rate and achieves 3.4x to 7.4x of speedup while process-
ing images. PGC consumes 30% less hardware resources and 22% less
on-chip power than the baseline system. |
Abstract:
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Peer Reviewed |
Materia(s):
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-Àrees temàtiques de la UPC::Informàtica::Hardware -Àrees temàtiques de la UPC::Informàtica::Informàtica teòrica::Algorísmica i teoria de la complexitat -Computational complexity -Computer graphics -Computer hardware -Computer systems organization and communication networks -Algorithm analysis and problem complexity -Complexitat computacional -Infografia |
Derechos:
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Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Tipo de documento:
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Artículo - Versión publicada Objeto de conferencia |
Editor:
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Springer
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Compartir:
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