Ben Fei, Jinbai Liu
IEEE Transactions on Neural Networks
In this paper, we present several algorithms for performing all-to-many personalized communication on distributed memory parallel machines. We assume that each processor sends a different message (of potentially different size) to a subset of all the processors involved in the collective communication. The algorithms are based on decomposing the communication matrix into a set of partial permutations. We study the effectiveness of our algorithms from both the view of static scheduling and runtime scheduling. © 1995 Academic Press, Inc.
Ben Fei, Jinbai Liu
IEEE Transactions on Neural Networks
Guojing Cong, David A. Bader
Journal of Parallel and Distributed Computing
Liya Fan, Fa Zhang, et al.
JPDC
Freddy Lécué, Jeff Z. Pan
IJCAI 2013