Title :
OpenCL implementation of unsharp filtering on GPU and FPGA
Author :
Unel, Ozge ; Akgun, Toygar
Author_Institution :
Bilgisayar Muhendisligi Bolumu, Hacettepe Univ., Ankara, Turkey
Abstract :
The purpose of this study is to evaluate the performance of two dimensional multi-threaded linear filtering process on the GPU and FPGA platforms. To obtain the implementation on varying platforms, OpenCL API is used. OpenCL provides platform independent programming advantage. The results on three different platforms are compared to each other within this scope. These platforms are CPU, GPU, and FPGA. With changing filter and video frame sizes, varying processing times on these platforms are observed, and platform dependent advantages/disadvantages are studied.
Keywords :
application program interfaces; field programmable gate arrays; graphics processing units; multi-threading; CPU; FPGA; GPU; OpenCL API; OpenCL implementation; performance evaluation; two dimensional multithreaded linear filtering process; unsharp filtering; video frame sizes; Conferences; Field programmable gate arrays; Filtering; Graphics processing units; Kernel; Random access memory; Signal processing; FPGA; GPU; OpenCL; data-paralel; massive multithreading;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2014 22nd
Conference_Location :
Trabzon
DOI :
10.1109/SIU.2014.6830203