State space techniques have proven to be useful for measuring and improving the coverage of test vectors that are used during functional validation via simulation. By comparing th...
Increased complexity of simulation models and the related modeling needs for global supply chains have necessitated the execution of simulations on multiple processors. While dist...
Space is a spatial programming language designed to exploit the massive parallelism available in a formal model of computation called the Synchronic A-Ram, and physically related ...
— Many distributed systems may be limited in their performance by the number of transactions they are able to support per unit of time. In order to achieve fault tolerance and to...
Tal Anker, Danny Dolev, G. Greenman, I. Shnaiderma...
There is interplay between emotions and learning, but this interaction is far more complex than previous learning theories have articulated--this interplay interacts with other re...