Cherin Joseph

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Graphic processing unit (GPU)-based general-purpose computing is developing as a viable alternative to CPU-based computing in many domains. Today’s tools for GPU analysis include simulators like GPGPU-Sim, Multi2Sim, and Barra. While useful for modeling first-order effects, these tools do not provide a detailed view of GPU microarchitecture and(More)
Digital Neural Network implementations based on the perceptron model require the use of multi-bit representation of signals and weights. This results in the usage of multi-bit multipliers in each neuron, leading to prohibitively large chip areas. Another problem with hardware implementations of neural networks is the low utilization of chip area due to(More)
Abstract: Graphic Processing Unit (GPU) based general purpose computing is developing as a viable alternative to CPU based computing in many domains. In this paper, we introduce MIAOW (Many-core Integrated Accelerator Of Wisconsin), an open source RTL implementation of the AMD Southern Islands GPGPU ISA, capable of running unmodified OpenCL-based(More)
This paper suggests a new approach for automatic selective deblurring of the blurred regions in an image. We have evaluated the degree of blurness (β) at the edges and applied the deblurring algorithm where β is significantly large. Blurring increases the width of the edges and the original gray level values of the pixels are lost. We have(More)
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