Results 11 to 20 of about 1,012 (185)
Noise Removal from Remote Sensed Images by NonLocal Means with OpenCL Algorithm
Remote Sensing, 2020 We introduce a multi-platform portable implementation of the NonLocal Means methodology aimed at noise removal from remotely sensed images. It is particularly suited for hyperspectral sensors for which real-time applications are not possible with only ...
Donatella Granata +3 more
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Performance Optimization of Object Tracking Algorithms in OpenCV on GPUs
Applied Sciences, 2022 Machine-learning-based computer vision is increasingly versatile and being leveraged by a wide range of smart devices. Due to the limited performance/energy budget of computing units in smart devices, the careful implementation of computer vision ...
Jaehyun Song +2 more
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A Two-Level Task Scheduler on Multiple DSP System for OpenCL
Advances in Mechanical Engineering, 2014 This paper addresses the problem that multiple DSP system does not support OpenCL programming. With the compiler, runtime, and the kernel scheduler proposed, an OpenCL application becomes portable not only between multiple CPU and GPU, but also between ...
Li Tian, Cai Meng, Fugen Zhou
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AMD APU systems as a platform for scientific computing [PDF]
Computer Methods in Materials Science, 2015 In our current work we investigate the possibility of using modern AMD APU architecture in scientific and technical computing. The architecture combines both a CPU and a GPU in a single Accelerated Processing Unit, which theoretically allows for ...
Filip Krużel, Krzysztof Banaś
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vkpolybench: A crossplatform Vulkan Compute port of the PolyBench/GPU benchmark suite
SoftwareX, 2021 PolyBench is a well-known set of benchmarks characterized by embarrassingly parallel kernels able to run on Graphic Processing Units (GPUs). While Polybench GPU kernels leverage well-established GP-GPU APIs such as CUDA and OpenCL, in this paper we ...
Nicola Capodieci, Roberto Cavicchioli
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An OpenCL-based parallel acceleration of aSobel edge detection algorithm Using IntelFPGA technology
South African Computer Journal, 2020 This paper examines the feasibility of using commercial out-of-the-box Reconfigurable Field Programmable Gate Array (FPGA) technology and the OpenCL framework to create efficient Sobel edge-detection implementation, which is considered a fundamental part
Abedalmuhdi Almomany +4 more
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GPU Computing with Python: Performance, Energy Efficiency and Usability
Computation, 2020 In this work, we examine the performance, energy efficiency, and usability when using Python for developing high-performance computing codes running on the graphics processing unit (GPU).
Håvard H. Holm +2 more
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Implementation of the Lattice Boltzmann Method on Heterogeneous Hardware and Platforms using OpenCL
Advances in Electrical and Computer Engineering, 2012 The Lattice Boltzmann method (LBM) has become an alternative method for computational fluid dynamics with a wide range of applications. Besides its numerical stability and accuracy, one of the major advantages of LBM is its relatively easy ...
TEKIC, P. M. +2 more
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Study of access template to graphics engine GM effect on the performance
Advanced Engineering Research, 2016 The work objective is to study the effect of the graphical processor unit computational cores load level and memory access pattern on the memory bus bandwidth and scaling acceleration.
RomanV. . Arzumanyan +1 more
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Cogent Engineering, 2018 Computation in engineering and science can often benefit from acceleration due to lengthy calculation times for certain classes of numerical models.
Junjie Gu, Attila Michael Zsaki
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