Computational biology research is now faced with the burgeoning number of genome data. The rigorous postprocessing of this data requires an increased role for high performance com...
Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...
Karthik Nagarajan, Brian Holland, Alan D. George, ...
: - Efficient task scheduling is essential for achieving high performance computing applications for distributed systems. Most of existing real-time systems consider schedulability...
Abstract. This paper presents new techniques for master-slave tasking on treeshaped networks with fully heterogeneous communication and processing resources. A large number of inde...
Cyril Banino-Rokkones, Olivier Beaumont, Lasse Nat...
— This paper deals with real-time control under computational constraints. A robust control approach to control/real-time scheduling co-design is proposed using the H∞ framewor...