With ever increasing computing power, it is possible to process ever more complex fluid simulations. However, a gap between data set sizes and our ability to visualize them remain...
Tony McLoughlin, Robert S. Laramee, Ronald Peikert...
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Abstract — In MIMD (Multiple Instruction stream, Multiple Data stream) execution, each processor has its own state. Although these states are generally considered to be independe...
Multicore processors have become ubiquitous in today’s systems, but exploiting the parallelism they offer remains difficult, especially for legacy application and applications ...
Recent studies on value locality reveal that many instructions are frequently executed with a small variety of inputs. This paper proposes an approach that integrates architecture...