👉 Packed computing, also known as hardware-software co-design or hardware acceleration, is a computing paradigm where specialized hardware components are integrated with optimized software to perform specific tasks more efficiently than general-purpose processors alone. This approach involves designing and packing together hardware elements like GPUs, FPGAs, or ASICs with tailored software algorithms to maximize performance and energy efficiency for particular workloads. By closely aligning hardware capabilities with software requirements, packed computing enables faster processing speeds and lower power consumption, making it particularly valuable in fields like machine learning, graphics rendering, and scientific simulations where specific computational tasks are prevalent. This method leverages the strengths of both hardware and software, resulting in more efficient and effective computing solutions.
