ISCAS OpenIR
Multiconstraint Static Scheduling of Synchronous Dataflow Graphs Via Retiming and Unfolding
Zhu, XY; Geilen, M; Basten, T; Stuijk, S
2016
SourceIEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS
ISSN0278-0070
Volume35Issue:6Pages:905-918
English AbstractSynchronous dataflow graphs (SDFGs) are widely used to represent digital signal processing algorithms and streaming media applications. This paper presents several methods for binding and scheduling SDFGs on a multiprocessor platform. Exploring the state space generated by a self-timed execution (STE) of an SDFG, we present an exact method for static rate-optimal scheduling of SDFGs via implicit retiming and unfolding. By modeling a constraint as an extra enabling condition for the STE, we get a constrained STE which implies a schedule under the constraint. We present a general framework for scheduling SDFGs under constraints on the number of processors, buffer sizes, auto-concurrency, or combinations of them. Exploring the state space generated by the constrained STE, we can check whether a retiming, which leads to a rate-optimal schedule under the processor (or memory) constraint, exists. Combining this with a binary search strategy, we present heuristic methods to find a proper retiming and a static scheduling that schedules the retimed SDFG with optimal rate and with as few processors (or as little storage space) as possible. None of the methods explicitly converts an SDFG to its equivalent homogenous SDFG, the size of which may be tremendously larger than the original SDFG. We perform experiments on several models of real applications and hundreds of synthetic SDFGs. The results show that the exact method outperforms existing methods significantly; our heuristics reduce the resources used and are computationally efficient.; Synchronous dataflow graphs (SDFGs) are widely used to represent digital signal processing algorithms and streaming media applications. This paper presents several methods for binding and scheduling SDFGs on a multiprocessor platform. Exploring the state space generated by a self-timed execution (STE) of an SDFG, we present an exact method for static rate-optimal scheduling of SDFGs via implicit retiming and unfolding. By modeling a constraint as an extra enabling condition for the STE, we get a constrained STE which implies a schedule under the constraint. We present a general framework for scheduling SDFGs under constraints on the number of processors, buffer sizes, auto-concurrency, or combinations of them. Exploring the state space generated by the constrained STE, we can check whether a retiming, which leads to a rate-optimal schedule under the processor (or memory) constraint, exists. Combining this with a binary search strategy, we present heuristic methods to find a proper retiming and a static scheduling that schedules the retimed SDFG with optimal rate and with as few processors (or as little storage space) as possible. None of the methods explicitly converts an SDFG to its equivalent homogenous SDFG, the size of which may be tremendously larger than the original SDFG. We perform experiments on several models of real applications and hundreds of synthetic SDFGs. The results show that the exact method outperforms existing methods significantly; our heuristics reduce the resources used and are computationally efficient.
Indexed TypeSCI
KeywordMapping Multiconstraint Resource Optimization Scheduling Timing Optimization
DepartmentChinese Acad Sci, Inst Software, State Key Lab Comp Sci, Beijing 100190, Peoples R China. Eindhoven Univ Technol, Dept Elect Engn, POB 513, NL-5600 MB Eindhoven, Netherlands. TNO Embedded Syst Innovat, Eindhoven, Netherlands.
Language英语
WOS IDWOS:000377105700003
Citation statistics
Cited Times:12[WOS]   [WOS Record]     [Related Records in WOS]
Content Type期刊论文
URIhttp://ir.iscas.ac.cn/handle/311060/17327
Collection中国科学院软件研究所
Recommended Citation
GB/T 7714
Zhu, XY,Geilen, M,Basten, T,et al. Multiconstraint Static Scheduling of Synchronous Dataflow Graphs Via Retiming and Unfolding[J]. IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS,2016,35(6):905-918.
APA Zhu, XY,Geilen, M,Basten, T,&Stuijk, S.(2016).Multiconstraint Static Scheduling of Synchronous Dataflow Graphs Via Retiming and Unfolding.IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS,35(6),905-918.
MLA Zhu, XY,et al."Multiconstraint Static Scheduling of Synchronous Dataflow Graphs Via Retiming and Unfolding".IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS 35.6(2016):905-918.
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