PhD dissertation on “SIMD Architecture of Deep Convolutional Neural Networks (DCNNs) using Heterogeneous Hardware”
mohammedhassan2024-04-30T07:16:55+00:00A PH.D dissertation was discussed in Department of Computer Engineering/College of Engineering at University of Mosul entitled "SIMD Architecture of Deep Convolutional Neural Networks (DCNNs) using Heterogeneous Hardware" submitted by the student (Mamoon abd al Jabaar Thanoon) and under the supervision Prof. Dr. Shifaa Abdulrahman Dawood on Monday, April 29, 2024. The dissertation dealt with the investment of SIMD architectures in a new way to present a parallel deep system based on a proposed new deep network of limited size. This network has effectively contributed to represent and implement the SIMD parallel architecture in an environment with limited resources and low [Read More]