Pipeline data path synthesis of fault-tolerant microarchitectures

Microarchitectural implementation of a real-time signal processing algorithm for mission-critical applications such as sensors on spacecrafts is characterized by two unique requirements: real-time processing of a steady stream of input signals, which requires a high-performance implementation such as pipelining, and reliable operation over the mission lifetime, which mandates support for fault-tolerance. The authors relate high-performance and fault-tolerance constraints to chip area, and present a methodology for synthesizing area-efficient microarchitectures satisfying these requirements. High-performance is achieved via pipelining, while desired fault-tolerance is realized using hardware redundancy. The framework has been used to synthesize high-performance and fault-tolerant microarchitectures for a variety of signal processing algorithms. Additionally, the framework has been used to explore design trade-offs between high-performance and high-reliability microarchitectures, subject to a maximum area constraint.<<ETX>>

[1]  Alice C. Parker,et al.  Sehwa: a software package for synthesis of pipelines from behavioral specifications , 1988, IEEE Trans. Comput. Aided Des. Integr. Circuits Syst..

[2]  Israel Koren,et al.  Fault tolerance in VLSI circuits , 1990, Computer.

[3]  Ramesh Karri,et al.  High-level synthesis of fault-tolerant ASICs , 1992, [Proceedings] 1992 IEEE International Symposium on Circuits and Systems.

[4]  Ramesh Karri,et al.  ALPS: an algorithm for pipeline data path synthesis , 1991, MICRO 24.

[5]  Ramesh Karri,et al.  Transformation-based high-level synthesis of fault-tolerant ASICs , 1992, [1992] Proceedings 29th ACM/IEEE Design Automation Conference.

[6]  Minh N. Do,et al.  Youn-Long Steve Lin , 1992 .