The usage of FPGAs for the acceleration of Convolutional Neuronal Nets (CNNs) with OpenCL. Two alternatives for implementation
Language: English
Published by GRIN Verlag, 2019
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 15.71
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Druck auf Anfrage Neuware - Printed after ordering - Seminar paper from the year 2018 in the subject Engineering - Computer Engineering, grade: 1.0, University of Paderborn, language: English, abstract: Convolutional Neuronal Nets (CNNs) are state-of-the art Neuronal Networks, which are used in many fields like video analysis, face detection or image classification. Due to high requirements regarding computational resources and memory bandwidth, CNNs are mainly executed on special accelerator hardware which is more powerful and energy efficient than general purpose processors. This paper will give an overview of the usage of FPGAs for the acceleration of computation intensive CNNs with OpenCL, proposing two different implementation alternatives.The first approach is based on nested loops, which are inspired by the mathematical formula of multidimensional convolutions. The second strategy transforms the computational problem into a matrix multiplication problem on the fly. The approaches are followed by common optimization techniques used for FPGA designs based on high level synthesis (HLS). Afterwards, the proposed implementations are compared to a CNN implementation on an Intel Xeon CPU in order to demonstrate the advantages in terms of performance and energy efficiency.…
Seller Inventory # 9783668861305
- Title
- The usage of FPGAs for the acceleration of Convolutional Neuronal Nets (CNNs) with OpenCL. Two alternatives for implementation
- Author
- Christian Lienen
- Publisher
- GRIN Verlag
- Publication year
- 2019
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 3668861307
- ISBN 13
- 9783668861305
- Item weight
- 51 grams
- Dimensions
- 210x148x3 mm
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