Extracting performance from many-core architectures requires software engineers to create multi-threaded applications, which significantly complicates the already daunting task of...
Mutation-based Evolutionary Algorithms, also known as Evolutionary Programming (EP) are commonly applied to Artificial Neural Networks (ANN) parameters optimization. This paper pre...
Kristina Davoian, Alexander Reichel, Wolfram-Manfr...
Much work on skewed, stochastic, high dimensional, and biased datasets usually implicitly solve each problem separately. Recently, we have been approached by Texas Commission on En...
—IP-Lookup is a challenging problem because of the increasing routing table sizes, increased traffic, and higher speed links. These characteristics lead to the prevalence of hard...
This paper describes Automatic Pool Allocation, a transformation framework that segregates distinct instances of heap-based data structures into seperate memory pools and allows h...