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A polymorphous computing fabric

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3 Author(s)
Wolinski, C. ; Rennes I Univ., France ; Gokhale, M. ; McCave, K.

We propose a polymorphous computing fabric-based system (FBS) well suited to digital signal processing (DSP) and image processing applications. We have implemented our design on a system on a programmable chip (SoPC). The fabric's highly parameterized cellular architecture enables customized synthesis of fabric instances to achieve high performance for different classes of applications. The system's innovative global memory provides a host control processor with random access to all the variables and instructions on the fabric. The fabric supports several computing models including multiple instruction, multiple data (MIMD); single program, multiple data (SPMD); and systolic flow and permits dynamic reconfiguration of communication patterns. To illustrate the capabilities of our approach, we present two fabric instances with implementations of representative applications including a k-means clustering algorithm, a bank of finite impulse response (FIR) filters, an N-tap FIR filter (N is the number of taps of the filter), and a vector-by-matrix multiplication. Each fabric instance holds 52 cells on the Altera Excalibur ARM embedded processor system

Published in:

Micro, IEEE  (Volume:22 ,  Issue: 5 )

Date of Publication:

Sep/Oct 2002

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