DocumentCode :
3144367
Title :
LAPP: A Low Power Array Accelerator with Binary Compatibility
Author :
Devisetti, Naveen ; Iwakami, Takuya ; Yoshimura, Kazuhiro ; Nakada, Takashi ; Yao, Jun ; Nakashima, Yasuhiko
Author_Institution :
Nara Inst. of Sci. & Technol., Nara, Japan
fYear :
2011
fDate :
16-20 May 2011
Firstpage :
854
Lastpage :
862
Abstract :
Recently, reconfigurable architectures are becoming popular to achieve good energy efficiency. In this paper we designed an energy efficient, high-performance accelerator, named Linear Array Pipeline Processor (LAPP). LAPP works to accelerate existing machine code executions to improve performance while maintaining the binary compatibility, instead of using special codes. With its highly reconfigurable feature, LAPP architecture is designed to effectively work with unit gating through a sufficiently long period to conceal the gating penalty, and thereby incurs minimum power consumption for a given workload. Specifically, codes are mapped fixedly onto Functional Unit (FU) array with minimized caches and registers, and they are pipeline executed with data stream. The synthesized results show that the area of a 36-stage LAPP is equal to 9.5 times that of a traditional processor core area. Compared to a Many-Core Processor (MCP) of the same area, an LAPP-simulator based estimation indicates that LAPP can achieve about 10 times the power efficiency for 9 image processing workloads.
Keywords :
cache storage; low-power electronics; multiprocessing systems; pipeline processing; reconfigurable architectures; LAPP architecture; binary compatibility; cache; energy efficiency; functional unit; gating penalty; high-performance accelerator; linear array pipeline processor; low power array accelerator; machine code execution; many-core processor; power consumption; processor core area; reconfigurable architecture; register; unit gating; Arrays; Clocks; Pipelines; Power supplies; Prefetching; Registers; VLIW;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel and Distributed Processing Workshops and Phd Forum (IPDPSW), 2011 IEEE International Symposium on
Conference_Location :
Shanghai
ISSN :
1530-2075
Print_ISBN :
978-1-61284-425-1
Electronic_ISBN :
1530-2075
Type :
conf
DOI :
10.1109/IPDPS.2011.223
Filename :
6008930
Link To Document :
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