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Proceedings Paper

Multi-mode sensor processing on a dynamically reconfigurable massively parallel processor array
Author(s): Paul Chen; Mike Butts; Brad Budlong; Paul Wasson
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Paper Abstract

This paper introduces a novel computing architecture that can be reconfigured in real time to adapt on demand to multi-mode sensor platforms' dynamic computational and functional requirements. This 1 teraOPS reconfigurable Massively Parallel Processor Array (MPPA) has 336 32-bit processors. The programmable 32-bit communication fabric provides streamlined inter-processor connections with deterministically high performance. Software programmability, scalability, ease of use, and fast reconfiguration time (ranging from microseconds to milliseconds) are the most significant advantages over FPGAs and DSPs. This paper introduces the MPPA architecture, its programming model, and methods of reconfigurability. An MPPA platform for reconfigurable computing is based on a structural object programming model. Objects are software programs running concurrently on hundreds of 32-bit RISC processors and memories. They exchange data and control through a network of self-synchronizing channels. A common application design pattern on this platform, called a work farm, is a parallel set of worker objects, with one input and one output stream. Statically configured work farms with homogeneous and heterogeneous sets of workers have been used in video compression and decompression, network processing, and graphics applications.

Paper Details

Date Published: 17 April 2008
PDF: 9 pages
Proc. SPIE 6968, Signal Processing, Sensor Fusion, and Target Recognition XVII, 69681V (17 April 2008); doi: 10.1117/12.797113
Show Author Affiliations
Paul Chen, Ambric, Inc. (United States)
Mike Butts, Ambric, Inc. (United States)
Brad Budlong, Ambric, Inc. (United States)
Paul Wasson, Ambric, Inc. (United States)


Published in SPIE Proceedings Vol. 6968:
Signal Processing, Sensor Fusion, and Target Recognition XVII
Ivan Kadar, Editor(s)

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