A new approach to some possibilistic linear programming problems
Fuzzy Sets and Systems
Synthesis and simulation of digital systems containing interacting hardware and software components
DAC '92 Proceedings of the 29th ACM/IEEE Design Automation Conference
Retiming synchronous circuitry with imprecise delays
DAC '95 Proceedings of the 32nd annual ACM/IEEE Design Automation Conference
Hardware-Software Cosynthesis for Microcontrollers
IEEE Design & Test
CASTLE: an interactive environment for HW-SW Co-Design
CODES '94 Proceedings of the 3rd international workshop on Hardware/software co-design
Partitioning of VLSI circuits and systems
DAC '96 Proceedings of the 33rd annual Design Automation Conference
Reducing the complexity of ILP formulations for synthesis
ISSS '97 Proceedings of the 10th international symposium on System synthesis
A hardware/software partitioner using a dynamically determined granularity
DAC '97 Proceedings of the 34th annual Design Automation Conference
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The problem of hardware-software partitioning in the design of embedded systems is addressed. Uncertainties about the performance of the options for realization are expressed in triangular possibilistic numbers. To handle such numbers an integer programming formulation of the partitioning problem is derived. This formulation can be converted into a possibilistic program without changing the asymptotic computational complexity. The approach is illustrated with results obtained with the receiver part of a transceiver of a wireless indoor spread spectrum system. This example and several other experiments have shown that these optimizations can reach solutions within seconds for designs of that complexity and above.