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GPU architecture has traditionally been used in graphics application because of its enormous computing capability. Moreover, GPU architecture has also been used for general purpose computing in these days. Most of the current scheduling frameworks that are developed to handle GPGPU workload operate sequentially. This is problematic since this sequential approach may not be scalable for real-time systems,...
Traditional "monolithic" operating systems provide most services by its kernel. Examples of monolithic ones are Linux and Windows. However, a microkernel should be designed to reduce complexity and increase stability of the kernel rather than dump everything in kernel space. Furthermore, the microkernel should be made highly configurable, small, modular, and should be easily expendable without...
This paper presents the deep support vector machine (D-SVM) inspired by the increasing popularity of deep belief networks for image recognition. Our deep SVM trains an SVM in the standard way and then uses the kernel activations of support vectors as inputs for training another SVM at the next layer. In this way, instead of the normal linear combination of kernel activations, we can create non-linear...
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