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A GPU is a circuit board with a dedicated processor designed specifically to handle intense computational requirements of displaying graphics. These were earlier known as 3D accelerators, because the main job of these units deals with objects represented in 3 dimensions. There are various applications that require a 3D world to be simulated as realistically as possible on a computer screen. These include 3D animations in games, movies and other real world simulations. It takes a lot of computing power to represent a 3D world due to the great am ....etc

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Definition
Affordable bandwidth will be as essential to the Information Revolution in the21 st century as inexpensive power was to the Industrial Revolution in the 18 th and 19 th centuries. Today's global communications infrastructures of landlines, cellular towers, and satellites are inadequately equipped to support the increasing worldwide demand for faster, better, and less expensive service. At a time when conventional ground and satellite systems are facing increasing obstacles and spiraling costs, a low cost solution is being advocated. ....etc

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GPU Implementation of Extended Gaussian Mixture Model for Background Subtraction



What is GPU Computing?


GPU computing or GPGPU is the use of a GPU (graphics processing unit) to do general purpose scientific and engineering computing.

The model for GPU computing is to use a CPU and GPU together in a heterogeneous co-processing computing model. The sequential part of the application runs on the CPU and the computationally-intensive part is accelerat ....etc

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Introduction
Due to physical limitations, the clock speed of CPU’s has come to maximum limit. However, the Moore’s Law still holds, which means there still exists the ability to pack more transistors on a chip. The recent trend in the microprocessor industry is to put more cores (processors) into a single chip. Parallelism is the future of computing. Future microprocessor development efforts will continue to concentrate on adding cores rather than increasing single thread performance. One example of this trend is ....etc

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There are a growing number of people who want to use remotely sensed data and GIS data. What is needed is a large-scale processing and storage system that provides high bandwidth at low cost.

Scalable computing clusters, ranging from a cluster of (homogeneous or heterogeneous) PCs or workstations, to SMPs, are rapidly becoming the standard platforms for high-performance and large-scale computing. To utilize the resources of a parallel computer, a problem had to be algorithmically expressed as comprising a set of concurrently executing sub-p ....etc

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This article is presented by:
Marc Lalonde
David Byrns
Langis Gagnon
Normand Teasdale
Denis Laurendeau
Real-time eye blink detection with GPU-based SIFT tracking
ABSTRACT
This paper reports on the implementation of a GPUbased, real-time eye blink detector on very low contrast images acquired under near-infrared illumination. This detector is part of a multi-sensor data acquisition and analysis system for driver performance assessment and training. E ....etc

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Abstract—We consider the use of commodity graphics processing units (GPUs) for the common task of numerically integrating ordinary differential equations (ODEs), achieving speedups of up to 115-fold over comparable serial CPU implementations, and 15-fold over multithreaded CPU code with SIMD intrinsics. Using Lorenz '96 models as a case study, single and double precision benchmarks are established for both the widely used DOPRI5 method and computationally tailored low-storage . A range of configurations are assessed on each, including multi ....etc

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