FPGA implementation of a dense optical flow algorithm using altera openCL SDK

Name: FPGA implementation of a dense optical flow algorithm using altera openCL SDK
Author: Ulutaş, Umut, Tosun, Mustafa, Levent, Vecdi Emre, Büyükaydın, D., Akgün, T., Uğurdağ, Hasan Fatih

İsim	FPGA implementation of a dense optical flow algorithm using altera openCL SDK
Yazar	Ulutaş, Umut, Tosun, Mustafa, Levent, Vecdi Emre, Büyükaydın, D., Akgün, T., Uğurdağ, Hasan Fatih
Basım Tarihi:	2017
Basım Yeri	- Springer International Publishing
Konu	Altera SDK for OpenCL, Dense optical flow, FPGA, High-Level Synthesis
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	978-3-319-67596-1
Kayıt Numarası	d0e77f5e-d4be-4e17-b68a-0059ec35ec65
Lokasyon	Electrical & Electronics Engineering
Tarih	2017
Notlar	Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin	FPGA acceleration of compute-intensive algorithms is usually not regarded feasible because of the long Verilog or VHDL RTL design efforts they require. Data-parallel algorithms have an alternative platform for acceleration, namely, GPU. Two languages are widely used for GPU programming, CUDA and OpenCL. OpenCL is the choice of many coders due to its portability to most multi-core CPUs and most GPUs. OpenCL SDK for FPGAs and High-Level Synthesis (HLS) in general make FPGA acceleration truly feasible. In data-parallel applications, OpenCL based synthesis is preferred over traditional HLS as it can be seamlessly targeted to both GPUs and FPGAs. This paper shares our experiences in targeting a demanding optical flow algorithm to a high-end FPGA as well as a high-end GPU using OpenCL. We offer throughput and power consumption results on both platforms.
DOI	10.1007/978-3-319-67597-8_9
Cilt	778

Kaynağa git Özyeğin Üniversitesi

Aramaya Dön

Özyeğin Üniversitesi

Kaynağa git

FPGA implementation of a dense optical flow algorithm using altera openCL SDK

Yazar Ulutaş, Umut, Tosun, Mustafa, Levent, Vecdi Emre, Büyükaydın, D., Akgün, T., Uğurdağ, Hasan Fatih

Basım Tarihi 2017

Basım Yeri - Springer International Publishing

Konu Altera SDK for OpenCL, Dense optical flow, FPGA, High-Level Synthesis

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 978-3-319-67596-1

Kayıt Numarası d0e77f5e-d4be-4e17-b68a-0059ec35ec65

Lokasyon Electrical & Electronics Engineering

Tarih 2017

Notlar Due to copyright restrictions, the access to the full text of this article is only available via subscription.

Örnek Metin FPGA acceleration of compute-intensive algorithms is usually not regarded feasible because of the long Verilog or VHDL RTL design efforts they require. Data-parallel algorithms have an alternative platform for acceleration, namely, GPU. Two languages are widely used for GPU programming, CUDA and OpenCL. OpenCL is the choice of many coders due to its portability to most multi-core CPUs and most GPUs. OpenCL SDK for FPGAs and High-Level Synthesis (HLS) in general make FPGA acceleration truly feasible. In data-parallel applications, OpenCL based synthesis is preferred over traditional HLS as it can be seamlessly targeted to both GPUs and FPGAs. This paper shares our experiences in targeting a demanding optical flow algorithm to a high-end FPGA as well as a high-end GPU using OpenCL. We offer throughput and power consumption results on both platforms.

DOI 10.1007/978-3-319-67597-8_9

Cilt 778