Results 1 to 10 of about 15,151 (210)
Unsharp masking image enhancement the parallel algorithm based on cross-platform [PDF]
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
doaj +2 more sources
FPGA-based accelerators have recently evolved as strong competitors to the traditional GPU-based accelerators in modern high-performance computing systems. They offer both high computational capabilities and considerably lower energy consumption.
Fahad Bin Muslim, Liang, Luciano Lavagno
exaly +3 more sources
FPGA-based heterogeneous acceleration study for multidimensional cubing [PDF]
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
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
doaj +1 more source
Fancier: A Unified
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
doaj +1 more source
Parallel Transitive Closure Algorithm for Heterogeneous Architecture [PDF]
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
An OpenCL-based parallel acceleration of aSobel edge detection algorithm Using IntelFPGA technology
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
doaj +1 more source
CitiusSynapse: A Deep Learning Framework for Embedded Systems
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
doaj +1 more source
OpenCL Implementation of FPGA-Based Signal Generation and Measurement
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
doaj +1 more source
GPU Computing with Python: Performance, Energy Efficiency and Usability
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
doaj +1 more source

