Open Access

Memory-Optimized Software Synthesis from Dataflow Program Graphs with Large Size Data Samples

EURASIP Journal on Advances in Signal Processing20032003:650391

Received: 28 February 2002

Published: 20 May 2003


In multimedia and graphics applications, data samples of nonprimitive type require significant amount of buffer memory. This paper addresses the problem of minimizing the buffer memory requirement for such applications in embedded software synthesis from graphical dataflow programs based on the synchronous dataflow (SDF) model with the given execution order of nodes. We propose a memory minimization technique that separates global memory buffers from local pointer buffers: the global buffers store live data samples and the local buffers store the pointers to the global buffer entries. The proposed algorithm reduces 67% memory for a JPEG encoder, 40% for an H.263 encoder compared with unshared versions, and 22% compared with the previous sharing algorithm for the H.263 encoder. Through extensive buffer sharing optimization, we believe that automatic software synthesis from dataflow program graphs achieves the comparable code quality with the manually optimized code in terms of memory requirement.


software synthesis memory optimization multimedia dataflow

Authors’ Affiliations

The School of Electrical Engineering and Computer Science, Seoul National University


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