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Unsharp masking image enhancement the parallel algorithm based on cross-platform [PDF]
Scientific Reports, 2022 In view of the low computational efficiency and the limitations of the platform of the unsharp masking image enhancement algorithm, an unsharp masking image enhancement parallel algorithm based on Open Computing Language (OpenCL) is proposed.
Yupu Song +4 more
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Lattice QCD based on OpenCL [PDF]
Computer Physics Communications, 2013 We present an OpenCL-based Lattice QCD application using a heatbath algorithm for the pure gauge case and Wilson fermions in the twisted mass formulation. The implementation is platform independent and can be used on AMD or NVIDIA GPUs, as well as on classical CPUs.
Volker Lindenstruth, Owe Philipsen
exaly +5 more sources
FPGA-based heterogeneous acceleration study for multidimensional cubing [PDF]
ITM Web of Conferences, 2022 Today’s information processing not only faces an explosion of data volume and data dimensions, but also has to meet the growing user requirements for timeliness.
Meng Yuan, Yang Jun, Li Jun
doaj +1 more source
Autotuning Parallel Programs by Model Checking
Моделирование и анализ информационных систем, 2021 The paper presents a new approach to autotuning data-parallel programs. Autotuning is a search for optimal program settings which maximize its performance.
Natalia Olegovna Garanina +1 more
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Fancier: A Unified
IEEE Access, 2021 Graphics Processing Units (GPUs) have evolved from very specialized designs geared towards computer graphics to accommodate general-purpose highly-parallel workloads.
Sergio Afonso, Francisco Almeida
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Parallel Transitive Closure Algorithm for Heterogeneous Architecture [PDF]
Jisuanji gongcheng, 2021 The traditional method for obtaining the transitive closure of the graphs faces the large amount of calculation and long calculation time. In order to improve the computing speed of the transitive closure algorithm for dealing with large amounts of data,
XIAO Han, GUO Baoyun, LI Cailin, ZHOU Qinglei
doaj +1 more source
OpenCL Implementation of FPGA-Based Signal Generation and Measurement
IEEE Access, 2019 Signal generation and measurement have been widely used in many engineering applications, such as for creating test signals in radar, communication, and software-defined radio.
Iman Firmansyah, Yoshiki Yamaguchi
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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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CitiusSynapse: A Deep Learning Framework for Embedded Systems
Applied Sciences, 2021 As embedded systems, such as smartphones with limited resources, have become increasingly popular, active research has recently been conducted on performing on-device deep learning in such systems.
Seungtae Hong, Hyunwoo Cho, Jeong-Si Kim
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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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