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Efficient Hardware Acceleration on SoC-FPGA using OpenCL
Field Programmable Gate Arrays (FPGAs) are taking over the conventional processors in the ﬁeld of High Performance computing. With the advent of FPGA architectures and High level synthesis tools, FPGAs can now be easily ...
In-Situ Implementation and Training of Convolutional Neural Network on FPGAs
The main objective of this thesis is to investigate the efficiency of in-situ trainable Convolutional Neural Networks (CNNs) on modern programmable System-on-Chip (SoC) Field Programmable Gate Arrays (FPGAs) composed of ...