Design and Analysis of a Simple Computer System

    November 3, 2024

Objective:
Students will design, simulate, and analyze the architecture of a simplified computer system, applying concepts from Stephen D. Burd’s materials such as the CPU, memory hierarchy, I/O, and instruction set architecture (ISA).
Components:
1. System Design:
. CPU Design: Create a simple CPU model using a reduced instruction set computer (RISC) approach. Define basic instructions (e.g., load, store, add, subtract, branch).
. Memory Hierarchy: Implement a basic memory model, including main and cache levels. Focus on cache size, block size, and hit/miss rates.
. I/O Subsystem: Design a basic input/output mechanism. Discuss how devices are interfaced and controlled.
2. Simulation:
. Use a tool like Logisim, Digital, or SimulIDE to simulate the designed system.
. Using the CPU’s instruction set, students should simulate a few simple programs (like addition, subtraction, and loops).
3. Performance Analysis:
. Analyze how changes in cache size or block size affect system performance. Use simulation results to discuss trade-offs in system design.
. Discuss clock cycles per instruction (CPI) and total execution time for different program workloads.
4. Research Component:
. Compare the project’s simple architecture to modern real-world processors. Highlight key differences in instruction sets, memory systems, and I/O handling.
Deliverables:
1. System Architecture Report: Detailed report on the system’s design, including diagrams and explanations of components (CPU, memory, I/O).
2. Simulation Code: Provide the simulation model and test programs.
3. Performance Analysis: Analysis of system performance under different configurations (e.g., cache sizes) with graphs and explanations.
4. Presentation: A short presentation summarizing the system design, simulation results, and performance findings.
Evaluation Criteria:
1. Correctness of the CPU design and instruction set implementation.
2. Completeness of the memory and I/O subsystems.
3. Simulation Accuracy: Does the simulated system work as expected?
4. Performance Analysis: Quality of the performance study and insights.
5. Presentation and Report: Clarity, depth of explanation, and professionalism.

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