@inbook {19277,
	title = {Heterogeneous Design in Functional DIF},
	booktitle = {Transactions on High-Performance Embedded Architectures and Compilers IV},
	series = {Lecture Notes in Computer Science},
	year = {2011},
	month = {2011},
	pages = {391 - 408},
	publisher = {Springer Berlin Heidelberg},
	organization = {Springer Berlin Heidelberg},
	abstract = {Dataflow formalisms have provided designers of digital signal processing (DSP) systems with analysis and optimizations for many years. As system complexity increases, designers are relying on more types of dataflow models to describe applications while retaining these implementation benefits. The semantic range of DSP-oriented dataflow models has expanded to cover heterogeneous models and dynamic applications, but efficient design, simulation, and scheduling of such applications has not. To facilitate implementing heterogeneous applications, we utilize a new dataflow model of computation and show how actors designed in other dataflow models are directly supported by this framework, allowing system designers to immediately compose and simulate actors from different models. Using examples, we show how this approach can be applied to quickly describe and functionally simulate a heterogeneous dataflow-based application such that a designer may analyze and tune trade-offs among different models and schedules for simulation time, memory consumption, and schedule size.},
	keywords = {Arithmetic and Logic Structures, Computer Communication Networks, Dataflow, heterogeneous, Input/Output and Data Communications, Logic Design, Processor Architectures, Programming Languages, Compilers, Interpreters, Signal processing},
	isbn = {978-3-642-24567-1, 978-3-642-24568-8},
	url = {http://link.springer.com/chapter/10.1007/978-3-642-24568-8_20},
	author = {Plishker,William and Sane, Nimish and Kiemb, Mary and Bhattacharyya, Shuvra S.},
	editor = {Stenstr{\"o}m, Per}
}
@inbook {19300,
	title = {Dynamic and Multidimensional Dataflow Graphs},
	booktitle = {Handbook of Signal Processing Systems},
	year = {2010},
	month = {2010},
	pages = {899 - 930},
	publisher = {Springer US},
	organization = {Springer US},
	abstract = {Much of the work to date on dataflow models for signal processing system design has focused decidable dataflow models that are best suited for onedimensional signal processing. In this chapter, we review more general dataflow modeling techniques that are targeted to applications that include multidimensional signal processing and dynamic dataflow behavior. As dataflow techniques are applied to signal processing systems that are more complex, and demand increasing degrees of agility and flexibility, these classes of more general dataflow models are of correspondingly increasing interest. We begin with a discussion of two dataflow modeling techniques - multi-dimensional synchronous dataflow and windowed dataflow - that are targeted towards multidimensional signal processing applications. We then provide a motivation for dynamic dataflow models of computation, and review a number of specific methods that have emerged in this class of models. Our coverage of dynamic dataflowmodels in this chapter includes Boolean dataflow, the stream-based function model, CAL, parameterized dataflow, and enable-invoke dataflow.},
	keywords = {Communications Engineering, Networks, Computer Systems Organization and Communication Networks, Processor Architectures, Signal, Image and Speech Processing},
	isbn = {978-1-4419-6344-4, 978-1-4419-6345-1},
	url = {http://link.springer.com/chapter/10.1007/978-1-4419-6345-1_32},
	author = {Bhattacharyya, Shuvra S. and Deprettere, Ed F. and Keinert, Joachim},
	editor = {Bhattacharyya, Shuvra S. and Deprettere, Ed F. and Leupers, Rainer and Takala, Jarmo}
}
