—Image population analysis is the class of statistical methods that plays a central role in understanding the development, evolution and disease of a population. However, these t...
While microprocessor designers turn to multicore architectures to sustain performance expectations, the dramatic increase in parallelism of such architectures will put substantial...
Susmit Biswas, Diana Franklin, Alan Savage, Ryan D...
Evolutionary Algorithms (EAs) are effective and robust methods for solving many practical problems such as feature selection, electrical circuits synthesis, and data mining. Howeve...
Despite a burgeoning demand for parallel programs, the tools available to developers working on shared-memory multicore processors have lagged behind. One reason for this is the l...
Marek Olszewski, Qin Zhao, David Koh, Jason Ansel,...
General-purpose microprocessors augmented with SIMD execution units enhance multimedia applications by exploiting data level parallelism. However, supporting/overhead related inst...