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Memory Management for Synthesis of DSP Software (Hardcover, New)
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Memory Management for Synthesis of DSP Software (Hardcover, New)
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Although programming in memory-restricted environments is never
easy, this holds especially true for digital signal processing
(DSP). The data-rich, computation-intensive nature of DSP makes
memory management a chief and challenging concern for designers.
Memory Management for Synthesis of DSP Software focuses on
minimizing memory requirements during the synthesis of DSP software
from dataflow representations. Dataflow representations are used in
many popular DSP design tools, and the methods of this book can be
applied in that context, as well as other contexts where dataflow
is used. This book systematically reviews research conducted by the
authors on memory minimization techniques for compiling synchronous
dataflow (SDF) specifications. Beginning with an overview of the
foundations of software synthesis techniques from SDF descriptions,
it examines aggressive buffer-sharing techniques that take
advantage of specific and quantifiable tradeoffs between code size
and buffer size to achieve high levels of buffer memory
optimization. The authors outline coarse-level strategies using
lifetime analysis and dynamic storage allocation (DSA) for
efficient buffer sharing as one approach and demonstrate the role
of the CBP (consumed-before-produced) parameter at a finer level
using a merging framework for buffer sharing. They present two
powerful algorithms for combining these sharing techniques and then
introduce techniques that are not restricted to the single
appearance scheduling space of the other techniques. Extensively
illustrated to clarify the mathematical concepts, Memory Management
for Synthesis of DSP Software presents a comprehensive survey of
state-of-the-art research in DSPsoftware synthesis.
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