This paper is about the use of metric data structures in high-dimensionalor non-Euclidean space to permit cached sufficientstatisticsaccelerationsof learning algorithms. It has re...
This paper presents a highly predictable, low overhead and yet dynamic, memory allocation strategy for embedded systems with scratch-pad memory. A scratch-pad is a fast compiler-m...
To exploit increased instruction-level parallelism available in modern processors, we describe the formation and optimization of tracenets, an integrated approach to reducing the ...
Alexandre E. Eichenberger, Waleed Meleis, Suman Ma...
: The present work is devoted to the research of investment projects’ financing issues. Within this paper a data analytical tool for an optimal financing schema computation on th...
Mikhail D. Godlevskiy, Valentina V. Moskalenko, Vl...
Distributed computations, dealing with large amounts of data, are scheduled in Grid clusters today using either a task-centric mechanism, or a worker-centric mechanism. Because of ...