COMBINING BACKGROUND MEMORY MANAGEMENT AND REGULAR ARRAY CO-PARTITIONING, ILLUSTRATED ON A FULL MOTION ESTIMATION KERNEL
作者:
RAINER SCHAFFER,
FRANCKY CATTHOOR,
RENATE MERKER,
期刊:
Parallel Algorithms and Applications
(Taylor Available online 2000)
卷期:
Volume 15,
issue 3-4
页码: 201-228
ISSN:1063-7192
年代: 2000
DOI:10.1080/01495730008947356
出版商: Taylor & Francis Group
关键词: Low-power system design;Memory management;Regular array synthesis;Motion estimation architecture;B.6.3 (Design Aids;Automatic synthesis;Optimization);(C.1.2: Multiple Data Stream Architectures (Multiprocessors);Array and vector processors)
数据来源: Taylor
摘要:
In this paper an approach is presented to combine the design of background memory architectures and processor arrays for data dominated real-time applications. The formalized data transfer and storage exploration (DTSE) approach of IMEC involves a methodology for the design of a low-power small-size background memory organizations, meeting real-time constraints. The systematic space-time transformation and the subsequent co-partitioning approach of the Dresden University of Technology, allow the design of realistic processor arrays adapted to a given memory architecture. However, neither methodology can derive on its own the complete solution of a fully optimized memory organization, combining background and foreground memory. Extensions to enable this important problem will be presented here. First, both complementary methodologies will be summarized. Next, the main emphasis in this paper will be on the approach to design the processor array within the context of an already optimized and hence given memory architecture. The feasibility of the proposed combination is demonstrated on a representative test-vehicle for an important class of applications, namely a full motion estimation kernel in MPEG.
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