Compaan: deriving process networks from Matlab for embedded signal processing architectures
CODES '00 Proceedings of the eighth international workshop on Hardware/software codesign
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Proceedings of the 37th Annual Design Automation Conference
High Performance Compilers for Parallel Computing
High Performance Compilers for Parallel Computing
Multiprocessor mapping of process networks: a JPEG decoding case study
Proceedings of the 15th international symposium on System Synthesis
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CC '94 Proceedings of the 5th International Conference on Compiler Construction
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In this paper we present a process splitting transformation for Kahn process networks. Running applications written in this parallel program specification on a multiprocessor architecture does not guarantee that the runtime requirements are met. Therefore, it may be necessary to further analyze and optimize Kahn process networks. In this paper, we will present a four-step transformation that results in a functionally equivalent process network, but with a changed and optimized network structure. The class of networks that can be handled is not restricted to static networks. The novelty of this approach is that it can also handle processes with dynamic program statements. We will illustrate the transformation prototyped in GCC for a JPEG decoder, showing a 21% performance improvements.