Harvard

• Harvard architecture separates the storage of data and instructions into two separate memory units.
• The dual-memory setup of Harvard architecture allows simultaneous access to both instructions and data, which can improve performance for certain applications.
• Harvard architecture is particularly useful in embedded systems and digital signal processing (DSP)
• Data processing can occur in parallel in Harvard architecture as there are separate pathways for data and instructions.
• Harvard systems generally require more complex hardware design than Von Neumann systems
• Harvard architecture hardware is typically more expensive than Von Neumann hardware as it requires separate RAM for instructions and data sets