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Dynamic Dataflow Graphs

Tutkimustuotosvertaisarvioitu

Standard

Dynamic Dataflow Graphs. / Theelen, Bart D.; Deprettere, Ed F.; Bhattacharyya, Shuvra.

Handbook of Signal Processing Systems. Springer, 2019. s. 1173-1210.

Tutkimustuotosvertaisarvioitu

Harvard

Theelen, BD, Deprettere, EF & Bhattacharyya, S 2019, Dynamic Dataflow Graphs. julkaisussa Handbook of Signal Processing Systems. Springer, Sivut 1173-1210. https://doi.org/10.1007/978-3-319-91734-4_32

APA

Theelen, B. D., Deprettere, E. F., & Bhattacharyya, S. (2019). Dynamic Dataflow Graphs. teoksessa Handbook of Signal Processing Systems (Sivut 1173-1210). Springer. https://doi.org/10.1007/978-3-319-91734-4_32

Vancouver

Theelen BD, Deprettere EF, Bhattacharyya S. Dynamic Dataflow Graphs. julkaisussa Handbook of Signal Processing Systems. Springer. 2019. s. 1173-1210 https://doi.org/10.1007/978-3-319-91734-4_32

Author

Theelen, Bart D. ; Deprettere, Ed F. ; Bhattacharyya, Shuvra. / Dynamic Dataflow Graphs. Handbook of Signal Processing Systems. Springer, 2019. Sivut 1173-1210

Bibtex - Lataa

@inbook{c0e29d9a6e9f4b80906e6c1c345e83c7,
title = "Dynamic Dataflow Graphs",
abstract = "Much of the work to date on dataflow models for signal processing system design has focused on decidable dataflow models. This chapter reviews more general dataflow modeling techniques targeted to applications that include dynamic dataflow behavior. The complexity in such applications demands for increased degrees of agility and flexibility in dataflow models. With the application of dataflow techniques addressing these challenges, interest in classes of more general dataflow models has risen correspondingly. We first provide a motivation for dynamic dataflow models of computation, and review a number of specific methods that have emerged in this class of models. The dynamic dataflow models covered in this chapter are Boolean Dataflow, CAL, Parameterized Dataflow, Enable-Invoke Dataflow, Scenario-Aware Dataflow, and Dynamic Polyhedral Process Networks.",
author = "Theelen, {Bart D.} and Deprettere, {Ed F.} and Shuvra Bhattacharyya",
year = "2019",
doi = "10.1007/978-3-319-91734-4_32",
language = "English",
isbn = "978-3-319-91733-7",
pages = "1173--1210",
booktitle = "Handbook of Signal Processing Systems",
publisher = "Springer",

}

RIS (suitable for import to EndNote) - Lataa

TY - CHAP

T1 - Dynamic Dataflow Graphs

AU - Theelen, Bart D.

AU - Deprettere, Ed F.

AU - Bhattacharyya, Shuvra

PY - 2019

Y1 - 2019

N2 - Much of the work to date on dataflow models for signal processing system design has focused on decidable dataflow models. This chapter reviews more general dataflow modeling techniques targeted to applications that include dynamic dataflow behavior. The complexity in such applications demands for increased degrees of agility and flexibility in dataflow models. With the application of dataflow techniques addressing these challenges, interest in classes of more general dataflow models has risen correspondingly. We first provide a motivation for dynamic dataflow models of computation, and review a number of specific methods that have emerged in this class of models. The dynamic dataflow models covered in this chapter are Boolean Dataflow, CAL, Parameterized Dataflow, Enable-Invoke Dataflow, Scenario-Aware Dataflow, and Dynamic Polyhedral Process Networks.

AB - Much of the work to date on dataflow models for signal processing system design has focused on decidable dataflow models. This chapter reviews more general dataflow modeling techniques targeted to applications that include dynamic dataflow behavior. The complexity in such applications demands for increased degrees of agility and flexibility in dataflow models. With the application of dataflow techniques addressing these challenges, interest in classes of more general dataflow models has risen correspondingly. We first provide a motivation for dynamic dataflow models of computation, and review a number of specific methods that have emerged in this class of models. The dynamic dataflow models covered in this chapter are Boolean Dataflow, CAL, Parameterized Dataflow, Enable-Invoke Dataflow, Scenario-Aware Dataflow, and Dynamic Polyhedral Process Networks.

U2 - 10.1007/978-3-319-91734-4_32

DO - 10.1007/978-3-319-91734-4_32

M3 - Chapter

SN - 978-3-319-91733-7

SP - 1173

EP - 1210

BT - Handbook of Signal Processing Systems

PB - Springer

ER -