Dheeraj Punia

Introduction Design entry, synthesis, implementation, and device programming are just a few of the stages or phases in the FPGA design flow. The implementation stage involves selecting and configuring an IP address, as well as creating the RTL and limitations. The implementation creates the file needed to program the device by using synthesis and place

Field-Programmable Gate Arrays (FPGAs) are becoming an interesting alternative for next-generation High-Performance Computing (HPC) systems, with changeable fabrics delivering increased performance over time. However, the optimisation process of FPGA designs should be abstracted to a higher level to gain traction among traditional Von Neumann systems. Overall system performance, power consumption, thermal performance, and design cycle

ADAS (Advanced Driver Assistance Systems): An autonomous vehicle, often known as a driverless automobile, is able to operate itself and perform important tasks without the need for human intervention thanks to its ability to understand its environment. Self-driving cars utilize a variety of sensors to sense their surroundings, including thermographic cameras, radar, lidar, sonar, GPS,

FPGA Design: An FPGA is a programmable logic device with a matrix of reconfigurable gate array logic circuits. When an FPGA is configured, the internal circuitry is coupled in such a way that the software program is implemented in hardware. Unlike processors, FPGAs process logic on dedicated hardware and do not have an operating system.

The Field Programmable Gate Array (FPGA) industry is expected to grow in the coming years as more military and aerospace applications, such as waveform generation, image processing, and secure communication, adopt FPGAs. Demand for FPGA is expected to increase due to increased adoption in areas such as security, network processing, and Deep Packet Inspection (DPI). This