Listar por tema "CUDA"
Mostrando ítems 1-10 de 10
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Evaluación de prestaciones mediante la aplicación HPL de clusters utilizando rCUDA
Universitat Jaume I (2014)A lo largo de este documento se describe el proyecto realizado en la asignatura SIU043-Trabajo Fin de Máster. Este trabajo se ha llevado a cabo en el grupo de investigación High Performance Computing and Architectures ... -
GPU acceleration of a non-standard finite element mesh truncation technique for electromagnetics
IEEE (2020-05-07)The emergence of General Purpose Graphics Processing Units (GPGPUs) provides new opportunities to accelerate applications involving a large number of regular computations. However, properly leveraging the computational ... -
GPU-Accelerated Vision for Robots: Improving System Throughput Using OpenCV and CUDA
IEEE (2020-06)OpenCV is an open source computer vision and machine learning library for C/C++/Python available for Windows, Linux, macOS, and Android platforms. It contains low-level image processing functions as well as high-level ... -
Improving the management efficiency of GPU workloads in data centers through GPU virtualization
Wiley (2019)Graphics processing units (GPUs) are currently used in data centers to reduce the execution time of compute‐intensive applications. However, the use of GPUs presents several side effects, such as increased acquisition costs ... -
Improving the user experience of the rCUDA remote GPU virtualization framework
Wiley (2014-10)Graphics processing units (GPUs) are being increasingly embraced by the high-performance computing community as an effective way to reduce execution time by accelerating parts of their applications. remote CUDA (rCUDA) was ... -
Increasing the Performance of Data Centers by Combining Remote GPU Virtualization with Slurm
IEEE (2016)The use of Graphics Processing Units (GPUs) presents several side effects, such as increased acquisition costs as well as larger space requirements. Furthermore, GPUs require a non-negligible amount of energy even ... -
On the benefits of the remote GPU virtualization mechanism: The rCUDA case
Wiley (2017-07-10)Graphics processing units (GPUs) are being adopted in many computing facilities given their extraordinary computing power, which makes it possible to accelerate many general purpose applications from different domains. ... -
Remote GPU Virtualization: Is It Useful?
IEEE (2016-03)Graphics Processing Units (GPUs) are currently used in many computing facilities. However, GPUs present several side effects, such as increased acquisition costs as well as larger space requirements. Also, GPUs still require ... -
Speeding up the log-polar transform with inexpensive parallel hardware: graphics units and multi-core architectures
Springer-Verlag (2012)Log-polar imaging is a kind of foveal, biologically inspired visual representation with advantageous properties in practical applications in computer vision, robotics, and other fields. While the cheapest, most flexible, ... -
Strategies to parallelize a finite element mesh truncation technique on multi-core and many-core architectures
Springer (2022-12-02)Achieving maximum parallel performance on multi-core CPUs and many-core GPUs is a challenging task depending on multiple factors. These include, for example, the number and granularity of the computations or the use of the ...