Browsing by Subject "GPU"
Now showing items 1-15 of 15
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(2018-08-09)Graphics Processing Units (GPUs) have been predominantly accepted for various general purpose applications due to a massive degree of parallelism. The demand for large-scale GPUs processing an enormous volume of data with ...
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(2015-12-07)In order to simulate geographical phenomenon, many complex and high precision models have been developed by scientists. But at most time common hardware and implementation of those computation models are not capable of ...
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(2015-05-08)As process technology shrinks, the transistor count on CPUs has increased. The breakdown of Dennard scaling has led to diminishing returns in terms of performance per power. A trend which promises to impact future CPU ...
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(2021-03-11)Today, hardware accelerators are widely accepted as a cost-effective solution for emerging applications in computing platforms from servers to mobile devices. Servers often leverage manycore accelerators such as Graphics ...
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(Texas A&M University, 2007-04-25)A real-time self-shadowing technique is described. State of the art shadowing techniques that utilize modern hardware often require multiple rendering passes and introduce rendering artifacts. Combining separate ideas from ...
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(2016-04-08)With increasing number of cores on a chip, the complexity of modeling hardware using virtual prototype is increasing rapidly. Typical SOCs today have multipro-cessors connected through a bus or NOC architecture which can ...
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(Texas A&M University, 2005-02-17)This thesis presents a method for combining GPU programming with traditional programming to create a fluid simulation based watercolor tool for artists. This application provides a graphical interface and a canvas ...
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GPU-based Parallel Computing Models and Implementations for Two-party Privacy-preserving Protocols (2013-11-25)In (two-party) privacy-preserving-based applications, two users use encrypted inputs to compute a function without giving out plaintext of their input values. Privacy-preserving computing algorithms have to utilize a large ...
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(Texas A&M University, 2008-10-10)This thesis presents a method to implement a hybrid particle/grid uid simulation on graphics hardware. The goal is to speed up the simulation by exploiting the parallelism of the graphics processing unit, or GPU. The ...
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(2014-09-22)Monte Carlo Simulations use random number generators and aggregation in order to numerically solve various real-world problems that are too difficult to solve analytically. They are currently the gold standard for simulating ...
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(2017-05-05)Graphical processing unit (GPU) can support multiple operations in parallel by executing it on multiple thread unit known as warp i.e. multiple threads running the same instruction. Each time miss happens at private cache ...
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(2011-08-08)Radiosity is a global illumination algorithm used by artists, architects, and engineers for its realistic simulation of lighting. Since the illumination model is global, complexity and run time grow as larger environments ...
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(2018-04-25)The rapid growth of video processing techniques has led to remarkable contributions in several applications such as compression, filtering, segmentation and object tracking. A fundamental task of video surveillance cameras ...
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(2009-06-02)Reinforcement learning is a machine learning technique designed to mimic the way animals learn by receiving rewards and punishment. It is designed to train intelligent agents when very little is known about the agent’s ...
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(2012-10-19)In this thesis we have presented an implementation of soft Multi Input Multi Output (MIMO) detection, single tree search algorithm on Graphics Processing Units (GPUs). We have compared its performance on different GPUs and ...