Integration of a convolutional neural network for speech-to-text recognition in an FPGA compiler flow

Deep Neural Network (DNNs) have increased significantly in size over the past decade. Partly due to this, the accuracy of DNNs in image classification and speech recognition tasks has increased as well. This enables a great potential for such models to be applied in real-world applications. However, due to their size, the compute and power...

Automated FPGA Hardware Synthesis for High-Throughput Big Data Filtering and Transformation: An SQL query transpiler targeting Vivado HLS C++ tools for high-level stream transformation and filtering on FPGAs using Apache Arrow.

Despite its advantages in performance and control, hardware design is mainly bottlenecked by high design complexity and long development time. This thesis explores the use of domain specific languages for high-level synthesis (HLS) of hardware data filters and transformations.<br/>The main goal of this thesis’ prototype is automating the...