In this paper, we consider the problem of optimal self-embedding Lapalcian data hiding for the state-dependent channels. In particular, we propose to decompose the Laplacian data ...
Oleksiy J. Koval, Sviatoslav Voloshynovskiy, Thier...
Automatic Global Data Partitioning for Distributed Memory Machines DMMs is a di cult problem. In this work, we present a partitioning strategy called 'Hyperplane Partitioning...
The problem of evaluating the dominant eigenvalue of real matrices using Monte Carlo numerical methods is considered. Three almost optimal Monte Carlo algorithms are presented:
Ivan Dimov, Vassil N. Alexandrov, Aneta Karaivanov...
Effective use of communication networks is critical to the performance and scalability of parallel applications. Partitioned Global Address Space languages like UPC bring the pro...
One of the outcomes of DARPA’s HPCS program has been the creation of three new high productivity languages: Chapel, Fortress, and X10. While these languages have introduced impro...