Characterizing Loop Acceleration in Heterogeneous Computing

Harnessing FPGA Technology for Enhanced Biomedical Computation

“…FPGAs have also emerged as a vital component in the Internet of Things (IoT) domain, particularly in edge computing for real-time data analysis and decision-making processes. Their reconfigurability enables adaptation to the dynamic IoT landscape, facilitating efficient data traffic management, robust security protocols, and deployment of machine learning algorithms in IoT gateways [2].…”

Unmanned Vehicles in Smart Farming: a Survey and a Glance at Future Horizons

“…The increase of on-chip integration capabilities has allowed decades of improvements and performance boosts with respect to possible target technologies for digital designs. Graphics Processing Units (GPUs) [32] and Massively Parallel Processor Arrays (MPPAs) [13] gained popularity for accelerated execution of compute-intensive applications along years, but still struggle to meet the ever increasing demand for computing power within a tight power budget [7]. Application specific accelerators, built leveraging on Application Specific Integrated Circuit (ASIC) technologies, coupled to more traditional processors, were traditionally the preferred choice in the embedded domain due to their unquestionable advantages in terms of area, speed and energy efficiency.…”

Design of an energy-efficient nonvolatile lookup table circuit using active-load-localized circuitry with self-terminated writing/reading

“…Because users can implement their desired hardware immediately by just changing the configuration data, FPGA-based design can follow up exponential growth of IoT applications. 4,5) Especially, FPGA is an important hardware platform for neural-network-based artificial-intelligence applications where massively parallel matrix computation is required. [6][7][8][9][10][11][12] In spite of the great potential of the FPGA, a inevitable standby power issue 13) exists in the conventional SRAM-based FPGA.…”