Download PDF by Guang R. Gao: A Code Mapping Scheme for Dataflow Software Pipelining


By Guang R. Gao

ISBN-10: 1461367824

ISBN-13: 9781461367826

ISBN-10: 1461539889

ISBN-13: 9781461539889

This monograph developed from my Ph. D dissertation accomplished on the Laboratory of laptop technology, MIT, throughout the summer time of 1986. In my dissertation I proposed a pipelined code mapping scheme for array operations on static dataflow architectures. the most addition to this paintings is located in bankruptcy 12, reflecting new learn effects constructed over the past 3 years given that I joined McGill University-results dependent upon the foundations in my dissertation. The terminology dataflow smooth­ ware pipelining has been always used given that ebook of our 1988 paper at the argument-fetching dataflow structure version at McGill college [43]. within the first a part of this ebook we describe the static info circulate graph version as an operational version for concurrent computation. we glance at timing issues for application graph execution on an excellent static dataflow desktop, study the idea of pipe lining, and represent its functionality. We talk about balancing recommendations used to rework convinced graphs into absolutely pipelined information stream graphs. particularly, we express how optimum balancing of an acyclic info circulate graph will be formulated as a linear programming challenge for which an optimum answer exists. As an incredible outcome, we express the optimum balancing challenge of acyclic information circulate graphs is reduceable to a category of linear programming challenge, the internet­ paintings move challenge, for which famous effective algorithms exist. This outcome disproves the conjecture that such difficulties are computationally hard.

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Such pipelining is an effective way to organize parallel computation on a static data flow machine. In this section we introduce the basic concepts for such pipelining and establish important criteria for pipelining performance. 1 we first illustrate the basic concepts of pipelining in ,the static dataflow model through some examples. 2 we discuss timing considerations during program execution of the static data flow graph model. 3. 4 we introduce the notion of a balanced data flow graph. 1 29 Basic Concepts of Pipelining Pipelining is a well-known approach in the design of conventional computers, for exploiting parallelism.

Instead, we use an X inside the actor to indicate that it is enabled in the configuration shown. A key notion closely related to the study of maximum pipelining is introduced in the following definition: Definition Let G be a one-in-one-out static pipeline, and let s be the input actor and v be an arbitrary actor of G, other that s. If the lengths of any two distinct paths from s to v are equal, G is called a balanced graph. Every path from an input node to an output node through a balanced graph must contain the exact same number of actors.

In general, a well-behaved data flow graph (with a certain initial configuration) may have many valid execution sequences. The determinate property of the static data flow graph model guarantees that it is necessary to examine only one execution sequence to derive the result of graph execution [108]. In terms of the results produced by the computation, all execution sequences represent the "same" computation. As we will see later, this determinate nature simplifies the pipelining of data flow graphs.

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A Code Mapping Scheme for Dataflow Software Pipelining by Guang R. Gao

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