Abstract
This paper presents novel models and design optimization methods for gapless deep waveform applications, where continuous streams of data must be processed reliably without dropping any samples. The approaches developed in this paper involve unified dataflow-based modeling of the interfaces and signal processing functionality of gapless deep waveform analysis. Bottleneck actors (computational modules) in the resulting dataflow model are then identified and tackled with approximate computing techniques. These techniques are developed and configured carefully so that large performance gains are achieved while keeping reductions in signal processing accuracy to a manageable level. Efficient actor- and graph-level code optimization techniques are also applied to further improve real-time performance. In addition to providing accurate, real-time processing on the experimental platform used in our experiments, the algorithm- and model-based formulation of the contributions in this part promotes their general utility in deep waveform analysis and their retargetability to other platforms.
Highlights
This paper is concerned with the design and implementation of an important class of digital signal processing (DSP) applications that we refer to as gapless DSP applications
We provide background on the DSPCAD Lightweight Dataflow Environment (LIDE), which is a software tool for dataflow-based design and implementation that we apply in this work
5.3 Throughput optimization we focus on further methods that we have applied to optimize the throughput of computationally intensive actors in the proposed deep jitter measurement system
Summary
This paper is concerned with the design and implementation of an important class of digital signal processing (DSP) applications that we refer to as gapless DSP applications. We design gapless DSP applications using modelbased techniques based on dataflow models of computation, which are widely used in signal processing design and implementation. In this form of dataflow, In this paper, we discuss the models and techniques in the context of a specific gapless DSP application, which is real-time jitter measurement of deep waveforms that has important applications in instrumentation for digital communication systems. The techniques are designed to address the challenges associated with gapless operation, real-time processing, and deep waveform analysis in a systematic, model-based manner [2]. Data values are encapsulated in objects called tokens as they pass across dataflow graph edges
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