دوره ساخت ماشین مجازی ALGOL N: از نحو به بهینه‌سازی همراه با فلش‌کارت آموزشی — ارائه روی فلش مموری

🎓 دوره آموزشی جامع

📚 اطلاعات دوره

عنوان دوره: دوره ساخت ماشین مجازی ALGOL N: از نحو به بهینه‌سازی

موضوع کلی: Computer Science > Compilers > Virtual Machines

موضوع میانی: ALGOL N Language and Compiler Implementation

📋 سرفصل‌های دوره

• 1. Overview of Virtual Machines and ALGOL N
• 2. Historical background of ALGOL N
• 3. Core language constructs of ALGOL N
• 4. Lexical analysis: tokenizing ALGOL N source
• 5. Regular expressions and pattern matching basics
• 6. Building lexer with flex/bison for ALGOL N
• 7. Syntax grammar definition for ALGOL N
• 8. Parsing strategies: top‑down vs bottom‑up
• 9. Recursive descent parser implementation
• 10. Abstract syntax tree (AST) structure design
• 11. Semantic analysis and attribute grammar
• 12. Symbol table management for ALGOL N identifiers
• 13. Scope resolution and name binding
• 14. Type system and type checking in ALGOL N
• 15. Expression evaluation and operator precedence
• 16. Control flow statements: if, while, repeat
• 17. Subprogram declarations and calling conventions
• 18. Parameter passing mechanisms (value, reference)
• 19. Activation records and stack frames layout
• 20. Runtime stack management and overflow handling
• 21. Exception handling and error reporting in VMs
• 22. Input/output primitives for ALGOL N runtime
• 23. Built‑in functions and library integration
• 24. Intermediate representation (IR) fundamentals
• 25. Three‑address code generation from AST
• 26. Static single assignment (SSA) form introduction
• 27. Register allocation basics for VM code
• 28. Instruction selection and pattern matching
• 29. Code layout and basic block formation
• 30. Control flow graph construction
• 31. Loop optimization techniques
• 32. Data‑flow analysis for live variables
• 33. Common subexpression elimination
• 34. Dead code elimination strategies
• 35. Strength reduction and induction variable simplification
• 36. Peephole optimization for VM instructions
• 37. Profile‑guided optimization introduction
• 38. Debugging virtual machine code with breakpoints
• 39. Instrumentation and tracing for VM debugging
• 40. Testing generated code with unit and property tests
• 41. Validation of VM behavior against reference implementation
• 42. Interfacing VM with native operating system calls
• 43. Security considerations in sandboxed execution
• 44. Portable virtual machine architecture design
• 45. Implementing garbage collection for ALGOL N runtime
• 46. Memory allocation strategies: heap vs nursery
• 47. Real‑time constraints and latency optimization
• 48. Multi‑threading model in ALGOL N VM
• 49. Concurrency primitives: semaphores, monitors
• 50. Event‑driven execution model
• 51. Just‑in‑time (JIT) compilation overview
• 52. JIT compilation pipeline: IR to machine code
• 53. Dynamic optimization based on runtime profiling
• 54. Code cache management and invalidation
• 55. Profiling JIT performance and benchmarking
• 56. Tools for VM development: debuggers, profilers, visualizers
• 57. Writing documentation and comments for VM code
• 58. Best practices for modular VM architecture
• 59. Common pitfalls in VM implementation
• 60. Case studies: existing ALGOL N VM projects
• 61. Extending VM with custom instruction sets
• 62. Adding new data types to the runtime
• 63. Implementing numeric libraries for ALGOL N
• 64. Integrating external libraries via FFI
• 65. Performance measurement methodologies
• 66. Benchmarking VM implementations across platforms
• 67. Future research directions in virtual machine design
• 68. Project planning and milestone setting for VM development
• 69. Collaborative development workflows for large VM projects
• 70. Deploying and maintaining production‑grade ALGOL N VMs