Modern high-level synthesis (HLS) tools greatly reduce the turn-around time of designing
and implementing complex FPGA-based accelerators. They also expose various …

Edge Computing has emerged as a new computing paradigm dedicated for mobile
performance enhancement and energy efficiency purposes. Specifically, it benefits today's …

This work present an efficient hardware architecture of Support Vector Machine (SVM) for
the classification of Hyperspectral remotely sensed data using High Level Synthesis (HLS) …

Recently, Edge Computing has emerged as a new computing paradigm dedicated for
mobile applications for performance enhancement and energy efficiency purposes …

Designs generated by high-level synthesis (HLS) tools typically achieve a lower frequency
compared to manual RTL designs. In this work, we study the timing issues in a diverse set of …

FPGA vendors provide OpenCL software development kits for easier programmability, with
the goal of replacing the time-consuming and error-prone register-transfer level (RTL) …

Heterogeneous computing with field-programmable gate-arrays (FPGAs) has demonstrated
orders of magnitude improvement in computing efficiency for many applications. However …

Despite increasing adoption of high-level synthesis (HLS) for its design productivity
advantage, success in achieving high quality-of-results out-of-the-box is often hindered by …

As the most critical stage in FPGA HLS, scheduling depends heavily on heuristics due to
their speed, flexibility, and scalability. However, designing heuristics easily involves human …

Object detection represents one of the most important and challenging task in computer
vision applications. Boosting-based approaches deal with computational intensive …