Introduction to Algorithms
Modeling Stream-Based Applications Using the SBF Model of Computation
Journal of VLSI Signal Processing Systems
Porting DSP Applications across Design Tools Using the Dataflow Interchange Format
RSP '05 Proceedings of the 16th IEEE International Workshop on Rapid System Prototyping
Software synthesis from the dataflow interchange format
SCOPES '05 Proceedings of the 2005 workshop on Software and compilers for embedded systems
A SystemC-based design methodology for digital signal processing systems
EURASIP Journal on Embedded Systems
Functional DIF for Rapid Prototyping
RSP '08 Proceedings of the 2008 The 19th IEEE/IFIP International Symposium on Rapid System Prototyping
Embedded Multiprocessors: Scheduling and Synchronization
Embedded Multiprocessors: Scheduling and Synchronization
OpenDF: a dataflow toolset for reconfigurable hardware and multicore systems
ACM SIGARCH Computer Architecture News
Exploiting statically schedulable regions in dataflow programs
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Exploring the concurrency of an MPEG RVC decoder based on dataflow program analysis
IEEE Transactions on Circuits and Systems for Video Technology
A generalized scheduling approach for dynamic dataflow applications
Proceedings of the Conference on Design, Automation and Test in Europe
Software Code Generation for the RVC-CAL Language
Journal of Signal Processing Systems
Overview of the MPEG Reconfigurable Video Coding Framework
Journal of Signal Processing Systems
Task partitioning for multi-core network processors
CC'05 Proceedings of the 14th international conference on Compiler Construction
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Automatic Hierarchical Discovery of Quasi-Static Schedules of RVC-CAL Dataflow Programs
Journal of Signal Processing Systems
A rule-based quasi-static scheduling approach for static islands in dynamic dataflow graphs
ACM Transactions on Embedded Computing Systems (TECS)
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Dataflow descriptions have been used in a wide range of Digital Signal Processing (DSP) applications, such as multi-media processing, and wireless communications. Among various forms of dataflow modeling, Synchronous Dataflow (SDF) is geared towards static scheduling of computational modules, which improves system performance and predictability. However, many DSP applications do not fully conform to the restrictions of SDF modeling. More general dataflow models, such as CAL (Eker and Janneck 2003), have been developed to describe dynamically-structured DSP applications. Such generalized models can express dynamically changing functionality, but lose the powerful static scheduling capabilities provided by SDF. This paper focuses on the detection of SDF-like regions in dynamic dataflow descriptions--in particular, in the generalized specification framework of CAL. This is an important step for applying static scheduling techniques within a dynamic dataflow framework. Our techniques combine the advantages of different dataflow languages and tools, including CAL (Eker and Janneck 2003), DIF (Hsu et al. 2005) and CAL2C (Roquier et al. 2008). In addition to detecting SDF-like regions, we apply existing SDF scheduling techniques to exploit the static properties of these regions within enclosing dynamic dataflow models. Furthermore, we propose an optimized approach for mapping SDF-like regions onto parallel processing platforms such as multi-core processors.