Numerical of Page Table

Duration: 7 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 video is an educational lecture on computer architecture, specifically focusing on paging hardware and memory management. The instructor uses a digital whiteboard to solve problems presented in a table format. The table includes columns for System Memory (SM), Logical Address (LA), Main Memory (MM), Physical Address (PA), page bits (p), frame bits (f), offset bits (d), addressable unit, Process Size, and Page Table (PT) Size. The instructor systematically fills in the missing values for three different scenarios, demonstrating the relationships between logical and physical addresses, page table sizes, and memory constraints. He also references a diagram illustrating the paging hardware, showing how the CPU generates a logical address, which is split into a page number and offset, used to index a page table to find a frame number, which is then combined with the offset to form the physical address. The lecture emphasizes the calculation of bits required for different address components based on given memory sizes.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    In the first segment, the instructor focuses on the first row of the table. He writes '34' under the Logical Address (LA) column and '64MB' under Main Memory (MM). He calculates the page bits p as 24 and frame bits f as 16. He determines the offset bits d to be 10. He writes the Physical Address (PA) bits as 26. He calculates the Page Table (PT) Size as 2MB. He points to the diagram below the table, indicating the logical address is split into p and d, where p indexes the page table to retrieve the frame number f. The diagram shows a CPU block, a logical address block split into p and d, a page table block, and a physical memory block. The instructor points to the p part of the logical address and shows an arrow pointing to the page table.

  2. 2:00 – 5:00 02:00-05:00

    The instructor moves to the second row. He writes '44' for LA and '64MB' for MM. He calculates the Physical Address (PA) bits as 36. He writes p as 32 and f as 24. He sets the offset d to 12. He then calculates the Page Table Size. He writes the formula '1GB / 4KB' on the board, representing the process size divided by the page size. He performs the calculation using powers of 2, writing '2^30 / 2^12', which simplifies to '2^18'. He then multiplies by 3 bytes per entry, resulting in '768KB'. He writes '768KB' in the PT Size column. He explains that the page table size depends on the number of pages and the size of each entry.

  3. 5:00 – 7:28 05:00-07:28

    In the final segment, the instructor addresses the third row. He writes '39' for LA and '28' for MM. He calculates the Physical Address (PA) bits as 28. He writes p as 8 and f as 18. He sets the offset d to 8. He writes '512MB' for the Process Size. He completes the table, showing how different memory configurations affect the address structure and page table size. He writes the final values for p, f, and d to complete the third scenario. The instructor ensures all columns are filled for the third row, finalizing the set of examples.

The lecture systematically breaks down the components of paging hardware. By solving three distinct problems, the instructor reinforces the concepts of address translation, page table indexing, and memory size calculations. The visual aids, including the table and the hardware diagram, help clarify the abstract concepts of logical and physical addressing. The progression from simple bit calculations to page table size calculations demonstrates the increasing complexity of memory management.

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