منابع مشابه
GPGPU Processing in CUDA Architecture
The future of computation is the Graphical Processing Unit, i.e. the GPU. The promise that the graphics cards have shown in the field of image processing and accelerated rendering of 3D scenes, and the computational capability that these GPUs possess, they are developing into great parallel computing units. It is quite simple to program a graphics processor to perform general parallel tasks. Bu...
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High resolution imagery from synthetic aperture radar (SAR) video data requires numerical computations of the order of gigaflops (GFLOP). The computational burden increases with the image size and the amount of input raw video signals. General purpose graphic processor units (GPGPU) can play a pivotal role in parallel processing the raw video data to generate SAR imagery in a much faster proces...
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* Corresponding author – [email protected]. Graduate student at TUM, work carried out the GE-Global research working towards a master thesis at TUM. Abstract: Many high performance computing algorithms are bandwidth limited, hence the need for optimal data rearrangement kernels as well as their easy integration into the rest of the application. In this work, we have built a CUDA library of fas...
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With the advancement in digitalization vast amount of Image data is uploaded and used via Internet in today’s world. With this revolution in uses of multimedia data, key problem in the area of Image processing, Computer vision and big data analytics is how to analyze, effectively process and extract useful information from such data. Traditional tactics to process such a data are extremely time...
متن کاملParallel perfusion imaging processing using GPGPU
BACKGROUND AND PURPOSE The objective of brain perfusion quantification is to generate parametric maps of relevant hemodynamic quantities such as cerebral blood flow (CBF), cerebral blood volume (CBV) and mean transit time (MTT) that can be used in diagnosis of acute stroke. These calculations involve deconvolution operations that can be very computationally expensive when using local Arterial I...
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ژورنال
عنوان ژورنال: Advanced Computing: An International Journal
سال: 2012
ISSN: 2229-726X
DOI: 10.5121/acij.2012.3109