Artificial intelligence (AI) algorithms are gaining importance as the backbone of different fields like computer vision, robotics, finance, biotechnology, etc., which will radically change human life. However, the computational complexity involved in AI algorithms continues to impose a challenge to state-of-the-art computing systems, particularly when the application demands low power, high throughput and low latency. At the same time, the use of field programmable gate arrays (FPGAs) for compute-intensive applications is increasingly prevalent due to the parallelism provided by thousands of configurable logic blocks (CLBs), on-chip processor core, and other resources accessible for...