Distributed Kalman filter via Gaussian belief propagation
Danny Bickson, Ori Shental, et al.
Allerton 2008
The existence of a schedule for a partially ordered set of unit length tasks on m identical processors is known to be NP-complete (J. D. Ullman, NP-complete scheduling problems, J. Comput. System Sci., 10 (1975), 384-393). The problem remains NP-complete even if we restrict the precedence graph to be of height bounded by a constant. (J. K. Lenkstra and A. H. G. Rinnooy Kan, Complexity of scheduling under precedence constraints, Operations Res., 26 (1978), 22-35; D. Dolev and M. K. Warmuth, "Scheduling Flat Graphs," IBM Research Report RJ 3398, 1982). In these NP-completeness proofs the upper bound on the number of available processors varies with the problem instance. We present a polynomial algorithm for the case where the upper bound on the number of available processors and the height of the precedence graph are both constants. © 1984.
Danny Bickson, Ori Shental, et al.
Allerton 2008
Yaron Weinsberg, Danny Dolev, et al.
ACM SIGPLAN Notices
Danny Dolev, Cynthia Dwork, et al.
Journal of the ACM (JACM)
Andrei Z. Broder, Danny Dolev
FOCS 1984