In this paper we present parallel algorithms for stabilizing large linear c
ontrol systems on multicomputers. Our algorithms first separate the stable
part of the linear control system and then compute a stabilizing feedback f
or the unstable part. Both stages are solved by means of the matrix sign fu
nction which presents a high degree of parallelism and scalability.
The experimental results on an IBM SP2 platform show the performance of our
approach.