Abstract--Recurrent neural networks have become a prominent tool for optimizations including linear or nonlinear variational inequalities and programming, due to its regular mathem...
In this work we propose a scanline optimization procedure for computational stereo using a linear smoothness cost model performed by programmable graphics hardware. The main idea ...
Abstract. Conventional middleware architectures suffer from insufficient module-level reusability and the ability to adapt in face of functionality evolution and diversification....
SVM systems are a cheaper and flexible way to implement the shared memory programming paradigm. Their huge flexibility is due to their software implementation; however, this is al...
Selection of the most suitable nodes on a network to execute a parallel application requires matching the network status to the application requirements. We propose and validate a...