History of Compiler

Duration: 3 min

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Module outline

  1. About Course: About the Course
  2. General Aptitude & Reasoning: Number System, Percentage, Ratio and Proportion (Ratios), Average, Profit and Loss, Simple Interest and Compound Interest, Time and Work, Speed Time and Distance, Mixture and Alligation, Data Interpretation, Algebra, Probability, Permutation and Combination, Venn Diagram, HCF LCM, Divisibility Rules, Age Problems, Pipe and Cistern, Partnership, Linear Algebra, Sequence and Series (Series), Statistics, Powers and Exponents (Surds and Indices), Arithmetic, Mensuration and Geometry, Calculus, Trigonometry, Vectors, Speed Mathematics and Basic Mathematics, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning), Analogy, Series (Number and Letter Series) (Numerical Relations and Reasoning), Puzzle Solving (Puzzles), Syllogisms, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Calendar, Seating Arrangements, Coding Decoding, Blood Relations, Directions (Direction Test), Clock, Analytical Reasoning (Counting Figures Reasoning), Ranking, Order and Sequence, Logical Sequence Of Words, Inequality, Data Sufficiency, Cubes & Dices
  3. Computer Networks & Cybersecurity: Introduction to CN, Data Communication, DLL: Access Control, DLL: Flow Control, DLL: Error Control, DLL: Framing, Data Link Layer - Ethernet, Net Layer: IPv4 & Proto, Net Layer: IP Addressing, Net Layer:Routing Protocol, Transport Layer Services, TL: Congestion & UDP, Application Layer, Hardware Basics, Network Security
  4. Programming, Data Structures & Algorithms: C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling, OOPS with C++, Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing, Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Greedy Algorithms, Dynamic Programming, Minimum Spanning Trees, Shortest Path Algos, Advanced Algorithms
  5. AI, Machine Learning, Big Data & Cloud: Emerging Tech Trends, Artificial Intelligence, Big Data Systems, Approaches to AI, Search Algorithms, Knowledge Representation, Cloud Computing
  6. Digital Logic & Computer Organization: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Combinational Circuit, Sequential Circuits, Number System, Number Representation, Basics of COA, Floating Point Rep, Cache Memory Organization, Input Output Organisation, Pipelining, Instr Formats & Modes, Register Transfer and Microoperations, Control Unit Design, Programming the Basic Computer
  7. TOC & Compiler: Introduction to TOC, Deterministic FA (DFA), Non-Deterministic FA, Regular Expressions, Grammar, Regular Language Properties, Moore & Mealy Machines, Pushdown Automata & CFG, Turing Machines, Complexity Theory, Intro to Compilers, Lexical Analysis, Grammar & CFG, Syntax Analysis: Top-Down, Syntax Analysis: Bottom-Up, Semantic Analysis & SDT, Intermediate Code Gen, Code Optimization, Run Time Environment
  8. Discrete Mathematics: Set Theory, Relations, Functions, Graph Theory, Group Theory, Propositional and Predicate Logic
  9. Operating System: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Threads & Process Creation, Deadlock, Memory Management, Virtual Memory, Disc Scheduling, File Management, Unix OS, Linux OS, Distributed Systems
  10. Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management, Object Oriented Technology, HTML Basics, JavaScript-Basics, Java, XML
  11. Database Management System: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, File Organization & Indexing, Relational Algebra, SQL, Relational Calculus, Transaction Management, Concurrency Control, Database Recovery, Data Warehousing & Mining, Enhanced Data Models, NoSQL
  12. Other Recurring CS Topics: Basics of Computer Graphics, 2-D Geometrical Transforms and Viewing, Multimedia
  13. Live Classes: ISRO Live classes
  14. Full Mock Test:
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

The lecture provides a detailed historical overview of the development of compilers in computer science, focusing on key milestones and the individuals responsible for them. It begins by distinguishing between early implementations and the modern concept of a compiler. The instructor highlights key figures like Corrado Böhm and Grace Hopper, clarifying the specific nature of their contributions and correcting common misconceptions about the term 'compiler.' The discussion then transitions to the development of the first compiler in the modern sense by Alick Glennie and the first commercially available compiler by the FORTRAN team at IBM, marking significant steps in the industry's evolution.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The instructor discusses the first practical compiler written by Corrado Böhm in 1951 for his PhD thesis, as shown on the slide. He then moves to Grace Hopper, noting she wrote the first implemented compiler and coined the term 'compiler' for her A-0 system. The instructor emphasizes that Hopper's system functioned as a loader or linker, not the modern notion of a compiler, underlining these specific phrases on the screen to clarify the distinction. He specifically underlines 'PhD thesis' and 'modern notion of a compiler' to ensure students understand the nuance between early systems and what we consider a compiler today. The visual aid includes a photo of Corrado Böhm and Grace Hopper in uniform.

  2. 2:00 – 2:35 02:00-02:35

    The slide updates to discuss the first Autocode and compiler in the modern sense developed by Alick Glennie in 1952 at the University of Manchester for the Mark 1 computer. The instructor underlines Glennie's name and the year 1952. Finally, the lecture covers the FORTRAN team led by John W. Backus at IBM, who introduced the first commercially available compiler in 1957, noting it took 18 person-years to create, which the instructor underlines for emphasis. This section highlights the shift from academic research to commercial application, marking a pivotal moment in software development history. The slide features black and white photos of Alick Glennie and John Backus.

The video traces the evolution of compiler technology from early academic theses and loader systems to the first modern compilers and commercial products. It emphasizes the distinction between early implementations like Hopper's A-0 and the true modern compiler concept established by Glennie and Backus. This progression illustrates the maturation of programming tools from theoretical concepts to practical, industry-standard software.

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