Computer Architecture and Organization
V semester
Anna University
By
Babu M, Assistant Professor
Department of ECE
RMK College of Engineering and Technology
Chennai
This document contains code for implementing depth first search (DFS) and breadth first search (BFS) algorithms on graphs. The DFS code uses a stack to search the graph in a depthward manner by recursively exploring each branch as deep as possible before backtracking. The BFS code uses a queue to search the graph in a breadthward manner by exploring all neighboring nodes first before moving to the next level. Both algorithms mark visited nodes to avoid cycles and search the entire graph by recursively calling the function on unvisited nodes.
This document discusses functions in LISP. It explains that functions are created using the defun macro, which defines a function name and parameters. The body of the function contains expressions, and the function returns the value of the last expression. Examples are given of defining simple functions to return hardcoded values, add a number, calculate a hypotenuse, and extract characters from a string. The document also provides examples of recursively defining the factorial function in both an iterative and recursive way.
The presentation discusses different graph visualization techniques including transaction graphs, address graphs, composite graphs, paths, and cluster graphs. It also covers libraries for graph visualization, methods for creating different graph types, and options for graph layout and interaction.
The document describes the A* algorithm, a pathfinding algorithm that is an improvement on Dijkstra's algorithm. A* uses a heuristic function to estimate the cost of the shortest path to the goal, in order to guide the search towards the most promising paths. This makes it more efficient than Dijkstra's algorithm for large graphs. The heuristic must be admissible, meaning it cannot overestimate costs, to guarantee an optimal solution. Consistent heuristics also guarantee optimality. A* minimizes the cost function f(n)=g(n)+h(n), where g(n) is the cost to reach node n and h(n) is the heuristic estimate from n to the goal. Examples are given
This document introduces the affine cipher encryption technique. It explains how to encrypt and decrypt messages using an affine cipher by:
1. Converting letters to numbers using their position in the alphabet.
2. Using the formula Y=(aP+k)%26 to encrypt numbers, where a is the multiplier, k is the shift, and p is the original letter's number.
3. Decrypting using the inverse of the multiplier and the same shift in the formula P=[(a^-1)(Y-k)]%26.
Worked examples are provided to illustrate encrypting the letter 'g' to 's' and decrypting it back. Flowcharts outline the full encryption and decryption processes
Conversion from infix to prefix using stackHaqnawaz Ch
This document is a data structures assignment that contains two tasks:
1) Converting an infix expression to postfix notation using a stack. The example infix expression is converted to postfix as -+-AB*C+DE+FG.
2) Evaluating the postfix expression from the first task by assigning values to variables and using a stack to calculate the result, which is 33.
% plot sin cos and tan
d=0:1:360;
r=(pi/180)*d;
s1=sin(r);
c1=cos(r);
t1=tan(r);
grid on
plot(r,s1,'-')
hold on
xlim([0,2*pi])
ylim([-2,2])
plot(r,c1,'r-')
plot(r,t1,'b--')
title("Graph of Sin(x) Cos(x) & Tan(x)")
xlabel("Angles")
ylabel("Values")
grid on
grid minor
legend("sin(x)","cos(x)","tan(x)")
This document contains code for implementing depth first search (DFS) and breadth first search (BFS) algorithms on graphs. The DFS code uses a stack to search the graph in a depthward manner by recursively exploring each branch as deep as possible before backtracking. The BFS code uses a queue to search the graph in a breadthward manner by exploring all neighboring nodes first before moving to the next level. Both algorithms mark visited nodes to avoid cycles and search the entire graph by recursively calling the function on unvisited nodes.
This document discusses functions in LISP. It explains that functions are created using the defun macro, which defines a function name and parameters. The body of the function contains expressions, and the function returns the value of the last expression. Examples are given of defining simple functions to return hardcoded values, add a number, calculate a hypotenuse, and extract characters from a string. The document also provides examples of recursively defining the factorial function in both an iterative and recursive way.
The presentation discusses different graph visualization techniques including transaction graphs, address graphs, composite graphs, paths, and cluster graphs. It also covers libraries for graph visualization, methods for creating different graph types, and options for graph layout and interaction.
The document describes the A* algorithm, a pathfinding algorithm that is an improvement on Dijkstra's algorithm. A* uses a heuristic function to estimate the cost of the shortest path to the goal, in order to guide the search towards the most promising paths. This makes it more efficient than Dijkstra's algorithm for large graphs. The heuristic must be admissible, meaning it cannot overestimate costs, to guarantee an optimal solution. Consistent heuristics also guarantee optimality. A* minimizes the cost function f(n)=g(n)+h(n), where g(n) is the cost to reach node n and h(n) is the heuristic estimate from n to the goal. Examples are given
This document introduces the affine cipher encryption technique. It explains how to encrypt and decrypt messages using an affine cipher by:
1. Converting letters to numbers using their position in the alphabet.
2. Using the formula Y=(aP+k)%26 to encrypt numbers, where a is the multiplier, k is the shift, and p is the original letter's number.
3. Decrypting using the inverse of the multiplier and the same shift in the formula P=[(a^-1)(Y-k)]%26.
Worked examples are provided to illustrate encrypting the letter 'g' to 's' and decrypting it back. Flowcharts outline the full encryption and decryption processes
Conversion from infix to prefix using stackHaqnawaz Ch
This document is a data structures assignment that contains two tasks:
1) Converting an infix expression to postfix notation using a stack. The example infix expression is converted to postfix as -+-AB*C+DE+FG.
2) Evaluating the postfix expression from the first task by assigning values to variables and using a stack to calculate the result, which is 33.
% plot sin cos and tan
d=0:1:360;
r=(pi/180)*d;
s1=sin(r);
c1=cos(r);
t1=tan(r);
grid on
plot(r,s1,'-')
hold on
xlim([0,2*pi])
ylim([-2,2])
plot(r,c1,'r-')
plot(r,t1,'b--')
title("Graph of Sin(x) Cos(x) & Tan(x)")
xlabel("Angles")
ylabel("Values")
grid on
grid minor
legend("sin(x)","cos(x)","tan(x)")
The document contains 6 MATLAB programs that generate Nyquist plots for different transfer functions. Each program calculates the numerator and denominator polynomials, calls the nyquist function to generate the plot, and may include additional commands like clc, clear all, clf, grid on, and axis to clean the workspace and formatting. The output of each program is a Nyquist plot.
This program uses the Runge-Kutta method of order 4 to solve a first order differential equation numerically. It takes initial values for x and y as input, calculates intermediate k values, updates x and y at each step, and prints the final y value. It iterates over the given x range with the specified step size to calculate y values at each step and prints the k values and y values calculated at each iteration.
A* search is a best-first graph search algorithm that finds a path from a given initial node to a goal node. It works by maintaining a tree of paths originating at the initial node and extending those paths one edge at a time until a path reaching the goal node is found. The algorithm uses an estimated total cost function f(n) = g(n) + h(n) to determine which path to extend next, where g(n) is the cost of the obtained path and h(n) is a heuristic function that estimates the cost of the cheapest path from the node to the goal.
The document discusses key concepts in digital image processing including array vs matrix operations, linear vs nonlinear operations, and arithmetic and logical operations. Array operations are performed on a pixel-by-pixel basis while matrix operations use matrix theory. A linear operator satisfies additivity and homogeneity, processing the sum and scaling of inputs the same as individual inputs summed or scaled. Logical operations like AND, OR, and NOT are applied to binary images.
This document discusses function operations such as addition, subtraction, multiplication, and division. It provides examples of writing expressions for the sum, difference, product, and quotient of two functions. It also addresses the domain and range of combined functions. Specifically, it gives an example of writing functions to model the distance traveled and effect of wind for an airplane traveling at a constant speed.
In computer science, functional programming is a programming paradigm—a style of building the structure and elements of computer programs—that treats computation as the evaluation of mathematical functions and avoids changing-state and mutable data.
This C program defines functions to add numbers to a queue and display the numbers in reverse order. The add() function takes user input of up to 5 numbers and stores them in an array. The display() function prints the numbers from the end of the array to the beginning to reverse the order, with front and rear pointers used to track the start and end of the queue. The main() function calls add() to populate the queue, then calls display() to print the numbers in reversed order.
1) The document is a numerical methods assignment submitted by a student to their professor. It contains 4 problems solved using various numerical methods like Gauss-Seidel iteration, Lagrange interpolation, and Newton divided differences.
2) For problem 1, the solutions to a system of equations using Gauss-Seidel iteration are found to be x1= 1, x2= -2, x3= -3.
3) For problem 4, the value of f(5) is estimated using Newton divided differences to be 92.
HelsinkiOS Jan 2015: Useful iOS Code SnippetsJouni Miettunen
My presentation at HelsinkiOS January 2015 meetup. What code snippets and scripts do I copy from old project to a new one, e.g. automated build version numbering, debugging and app monitoring.
This experiment finds the minimum cost spanning tree of an undirected graph using Kruskal's algorithm. It takes the number of vertices and cost matrix as input, initializes parent and minimum cost variables, then iterates through the edges and adds the minimum cost edge between two unconnected vertices to the spanning tree until all vertices are connected. It outputs the edges of the minimum spanning tree and their total cost.
This C code implements the Dijkstra's algorithm to find the shortest paths between nodes in a graph. It takes the number of nodes and cost matrix as input, initializes the distance and from arrays, then iteratively updates the arrays until there are no more changes to find the shortest paths from each node to every other node. Finally, it prints out the from and distance values for each node.
The program implements a deque (double-ended queue) using pointers in C language. It defines a node structure with data and link fields. Functions are written to add elements to both front and rear of the deque, delete from front and rear, and display the deque. The main function tests the implementation by performing sample operations on the deque and displaying the results.
This document discusses data structures and looping in LISP. It notes that the only data structure in LISP is lists. It describes functions for accessing parts of lists like first, rest, append, and cons. It also demonstrates using dolist to iterate over lists, such as to write a function to reverse a list. Examples are provided to demonstrate applying these functions and looping construct to lists.
Gauss Seidal Method, For Numerical analysis. working matlab code. numeric analysis Gauss Seidal method. MATLAB provides tools to solve math. Using linear programing techniques we can easily solve system of equations. This file provides a running code of Gauss Seidal Method
This program defines functions to perform addition and subtraction operations on different data types, including integers, floats, and doubles. The main function uses a switch statement to call the appropriate function based on the user's choice, allowing them to select the type of calculation to perform. User input is obtained to provide the values to operate on, the calculation is performed, and the result is outputted.
Tim waters OpenHistoricalMap Changes to the OSM Stack. SOTM-US 2015chippy
This document discusses OpenHistoricalMap (OHM), which aims to create a map of everything that has ever existed by adding a time dimension to OpenStreetMap data. It provides background on OHM and outlines the technical stack used, including the website, editors, database replication, tile generation, and potential areas for future work like improved time-based querying and interfaces. The speaker encourages participants to get involved in further developing OHM through activities at an upcoming hack day.
The document contains 4 tables with statistical data that are partially filled in. It provides the calculations to determine the missing values in each table. The calculations use the formula that the frequency of each category divided by the total number of data points equals the relative frequency. It then fills in each table with the full statistical data.
This document contains code for implementing flood filling and boundary filling algorithms. It defines functions for 4-connected and 8-connected boundary filling (bfill4 and bfill8) and flood filling (ffill4 and ffill8). These functions recursively change the color of pixels connected to a starting pixel. The main function draws a polygon, performs 8-connected boundary and flood filling, and ends the graphics mode.
The document provides instructions on MIPS architecture and assembly language programming, including details about registers, instruction types such as arithmetic, data transfer, logical and branch instructions, and examples of how to write MIPS assembly code to perform operations like addition, subtraction, loading/storing data, and conditional branching. It also describes common instruction formats and how different instructions are used to implement an example program that performs an arithmetic calculation and stores the result conditionally based on two values being equal or not.
The document provides information about the MIPS instruction set. It discusses various types of instructions like arithmetic, logical, data transfer, conditional, and unconditional instructions. It provides examples of instructions like add, sub, lw, sw, beq, j, and, or, slt etc. It explains the operation of each instruction type with examples. The registers, memory addressing modes used in MIPS assembly language are also described.
The document provides examples of C++ code using functions like cout, printf, and getch. It includes programs that:
1) Prints numbers 1 to 20, printing "hola1" or "hola2" depending on if the number is divisible by 3.
2) Calculates and prints the expression A+B+C-100, where A=20, B=30, C=60.
3) Calculates and prints the expression (a - b) * (a + b), where a=6, b=3.
The document contains 6 MATLAB programs that generate Nyquist plots for different transfer functions. Each program calculates the numerator and denominator polynomials, calls the nyquist function to generate the plot, and may include additional commands like clc, clear all, clf, grid on, and axis to clean the workspace and formatting. The output of each program is a Nyquist plot.
This program uses the Runge-Kutta method of order 4 to solve a first order differential equation numerically. It takes initial values for x and y as input, calculates intermediate k values, updates x and y at each step, and prints the final y value. It iterates over the given x range with the specified step size to calculate y values at each step and prints the k values and y values calculated at each iteration.
A* search is a best-first graph search algorithm that finds a path from a given initial node to a goal node. It works by maintaining a tree of paths originating at the initial node and extending those paths one edge at a time until a path reaching the goal node is found. The algorithm uses an estimated total cost function f(n) = g(n) + h(n) to determine which path to extend next, where g(n) is the cost of the obtained path and h(n) is a heuristic function that estimates the cost of the cheapest path from the node to the goal.
The document discusses key concepts in digital image processing including array vs matrix operations, linear vs nonlinear operations, and arithmetic and logical operations. Array operations are performed on a pixel-by-pixel basis while matrix operations use matrix theory. A linear operator satisfies additivity and homogeneity, processing the sum and scaling of inputs the same as individual inputs summed or scaled. Logical operations like AND, OR, and NOT are applied to binary images.
This document discusses function operations such as addition, subtraction, multiplication, and division. It provides examples of writing expressions for the sum, difference, product, and quotient of two functions. It also addresses the domain and range of combined functions. Specifically, it gives an example of writing functions to model the distance traveled and effect of wind for an airplane traveling at a constant speed.
In computer science, functional programming is a programming paradigm—a style of building the structure and elements of computer programs—that treats computation as the evaluation of mathematical functions and avoids changing-state and mutable data.
This C program defines functions to add numbers to a queue and display the numbers in reverse order. The add() function takes user input of up to 5 numbers and stores them in an array. The display() function prints the numbers from the end of the array to the beginning to reverse the order, with front and rear pointers used to track the start and end of the queue. The main() function calls add() to populate the queue, then calls display() to print the numbers in reversed order.
1) The document is a numerical methods assignment submitted by a student to their professor. It contains 4 problems solved using various numerical methods like Gauss-Seidel iteration, Lagrange interpolation, and Newton divided differences.
2) For problem 1, the solutions to a system of equations using Gauss-Seidel iteration are found to be x1= 1, x2= -2, x3= -3.
3) For problem 4, the value of f(5) is estimated using Newton divided differences to be 92.
HelsinkiOS Jan 2015: Useful iOS Code SnippetsJouni Miettunen
My presentation at HelsinkiOS January 2015 meetup. What code snippets and scripts do I copy from old project to a new one, e.g. automated build version numbering, debugging and app monitoring.
This experiment finds the minimum cost spanning tree of an undirected graph using Kruskal's algorithm. It takes the number of vertices and cost matrix as input, initializes parent and minimum cost variables, then iterates through the edges and adds the minimum cost edge between two unconnected vertices to the spanning tree until all vertices are connected. It outputs the edges of the minimum spanning tree and their total cost.
This C code implements the Dijkstra's algorithm to find the shortest paths between nodes in a graph. It takes the number of nodes and cost matrix as input, initializes the distance and from arrays, then iteratively updates the arrays until there are no more changes to find the shortest paths from each node to every other node. Finally, it prints out the from and distance values for each node.
The program implements a deque (double-ended queue) using pointers in C language. It defines a node structure with data and link fields. Functions are written to add elements to both front and rear of the deque, delete from front and rear, and display the deque. The main function tests the implementation by performing sample operations on the deque and displaying the results.
This document discusses data structures and looping in LISP. It notes that the only data structure in LISP is lists. It describes functions for accessing parts of lists like first, rest, append, and cons. It also demonstrates using dolist to iterate over lists, such as to write a function to reverse a list. Examples are provided to demonstrate applying these functions and looping construct to lists.
Gauss Seidal Method, For Numerical analysis. working matlab code. numeric analysis Gauss Seidal method. MATLAB provides tools to solve math. Using linear programing techniques we can easily solve system of equations. This file provides a running code of Gauss Seidal Method
This program defines functions to perform addition and subtraction operations on different data types, including integers, floats, and doubles. The main function uses a switch statement to call the appropriate function based on the user's choice, allowing them to select the type of calculation to perform. User input is obtained to provide the values to operate on, the calculation is performed, and the result is outputted.
Tim waters OpenHistoricalMap Changes to the OSM Stack. SOTM-US 2015chippy
This document discusses OpenHistoricalMap (OHM), which aims to create a map of everything that has ever existed by adding a time dimension to OpenStreetMap data. It provides background on OHM and outlines the technical stack used, including the website, editors, database replication, tile generation, and potential areas for future work like improved time-based querying and interfaces. The speaker encourages participants to get involved in further developing OHM through activities at an upcoming hack day.
The document contains 4 tables with statistical data that are partially filled in. It provides the calculations to determine the missing values in each table. The calculations use the formula that the frequency of each category divided by the total number of data points equals the relative frequency. It then fills in each table with the full statistical data.
This document contains code for implementing flood filling and boundary filling algorithms. It defines functions for 4-connected and 8-connected boundary filling (bfill4 and bfill8) and flood filling (ffill4 and ffill8). These functions recursively change the color of pixels connected to a starting pixel. The main function draws a polygon, performs 8-connected boundary and flood filling, and ends the graphics mode.
The document provides instructions on MIPS architecture and assembly language programming, including details about registers, instruction types such as arithmetic, data transfer, logical and branch instructions, and examples of how to write MIPS assembly code to perform operations like addition, subtraction, loading/storing data, and conditional branching. It also describes common instruction formats and how different instructions are used to implement an example program that performs an arithmetic calculation and stores the result conditionally based on two values being equal or not.
The document provides information about the MIPS instruction set. It discusses various types of instructions like arithmetic, logical, data transfer, conditional, and unconditional instructions. It provides examples of instructions like add, sub, lw, sw, beq, j, and, or, slt etc. It explains the operation of each instruction type with examples. The registers, memory addressing modes used in MIPS assembly language are also described.
The document provides examples of C++ code using functions like cout, printf, and getch. It includes programs that:
1) Prints numbers 1 to 20, printing "hola1" or "hola2" depending on if the number is divisible by 3.
2) Calculates and prints the expression A+B+C-100, where A=20, B=30, C=60.
3) Calculates and prints the expression (a - b) * (a + b), where a=6, b=3.
This document discusses using the Frama-C framework to formally verify C and C++ code. It provides examples of using Frama-C to verify functions that find the minimum of integer values, including abs(), min(), and min3(). Specifications for these functions are written using the ACSL specification language. Frama-C is then used to prove that the implementations satisfy the specifications. The document also discusses how concepts from Frama-C like LE (less than or equal) can be mapped to similar concepts in languages like Coq that are used for formal verification.
In the early days of computer science coding was viewed as an art. In the modern world of software engineering we may have lost the art to make way for rules and best practices. The International Obfuscated C Code Contest offers a chance for the coder to think beyond the rules of software engineering and unleash their creative side. We'll explore some of the more interesting entries in the past, take a closer look at some exotic C syntax, and finish up by exploring Bruce Holloway's 1986 entry.
From the Un-Distinguished Lecture Series (http://ws.cs.ubc.ca/~udls/). The talk was given Feb. 2, 2007
The document contains code snippets demonstrating the use of blocks and Grand Central Dispatch (GCD) in C. It shows examples of creating and using blocks, dispatch queues, dispatch groups, semaphores, and other GCD features for concurrency and parallelism.
Gentle Introduction to Functional ProgrammingSaurabh Singh
This slide is basically aimed at professionals and students to introduce them with functional programming.
I haven't used much functional programming terminologies because I personally feel they could be overwhelming to people getting introduced to FP for the first time. For similar reasons I have deliberately avoided using any functional programming language and kept the discussions programming language agnostic as far as possible.
This document discusses functional programming in Python. It begins by defining functional programming and some of its key concepts like immutable data, functions as first-class citizens, and recursion. It then shows how Python supports functional programming with features like first-class functions, lambda expressions, and built-in functions like map, filter and reduce. Finally, it discusses other functional programming techniques in Python like partial function application, currying, and tail call optimization, while noting some of Python's limitations for functional programming like its non-pure nature and lack of pattern matching.
The document discusses various aspects of functions in C programming including passing values to functions, returning values from functions, and more advanced features like returning non-integer values, call by value/reference, and recursion. It provides examples of defining and calling functions, passing arguments, returning single and multiple values, and illustrates proper and improper usage of functions.
Hardware multithreading allows multiple threads to share the functional units of a single processor by switching between threads when one thread is stalled. There are three main types of hardware multithreading: coarse-grained multithreading switches threads on long latency events like L2 cache misses; fine-grained multithreading switches threads every clock cycle in a round-robin fashion for high throughput but poor single-thread performance; simultaneous multithreading combines fine-grained multithreading with superscalar processing to further improve throughput by hiding memory latency but increases conflicts for shared resources.
Introduction to Advance Computer Architecturebabuece
Audio Version available in YouTube Link : https://www.youtube.com/AKSHARAM?sub_confirmation=1
subscribe the channel
Computer Architecture and Organization
V semester
Anna University
By
Babu M, Assistant Professor
Department of ECE
RMK College of Engineering and Technology
Chennai
Audio Version available in YouTube Link : https://www.youtube.com/AKSHARAM?sub_confirmation=1
subscribe the channel
Computer Architecture and Organization
V semester
Anna University
By
Babu M, Assistant Professor
Department of ECE
RMK College of Engineering and Technology
Chennai
Audio Version available in YouTube Link : https://www.youtube.com/AKSHARAM?sub_confirmation=1
subscribe the channel
Computer Architecture and Organization
V semester
Anna University
By
Babu M, Assistant Professor
Department of ECE
RMK College of Engineering and Technology
Chennai
Audio Version available in YouTube Link : https://www.youtube.com/AKSHARAM?sub_confirmation=1
subscribe the channel
Computer Architecture and Organization
V semester
Anna University
By
Babu M, Assistant Professor
Department of ECE
RMK College of Engineering and Technology
Chennai
Audio Version available in YouTube Link : https://www.youtube.com/AKSHARAM?sub_confirmation=1
subscribe the channel
Computer Architecture and Organization
V semester
Anna University
By
Babu M, Assistant Professor
Department of ECE
RMK College of Engineering and Technology
Chennai
Exception | How Exceptions are Handled in MIPS architecturebabuece
Audio Version available in YouTube Link : https://www.youtube.com/AKSHARAM?sub_confirmation=1
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Computer Architecture and Organization
V semester
Anna University
By
Babu M, Assistant Professor
Department of ECE
RMK College of Engineering and Technology
Chennai
Introduction to Embedded Laboratory EC 8711 babuece
The document discusses ARM processors and provides information about why they are widely used, their history and design. It notes that ARM is one of the most licensed processor cores in the world and is used in many portable devices due to its low power consumption and reasonable performance. It provides brief descriptions of some ARM cores and their features. Finally, it lists some example equipment that incorporates ARM cores.
Pipeline hazards | Structural Hazard, Data Hazard & Control Hazardbabuece
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Computer Architecture and Organization
V semester
Anna University
By
Babu M, Assistant Professor
Department of ECE
RMK College of Engineering and Technology
Chennai
Audio Version available in YouTube Link : https://www.youtube.com/AKSHARAM?sub_confirmation=1
subscribe the channel
Computer Architecture and Organization
V semester
Anna University
By
Babu M, Assistant Professor
Department of ECE
RMK College of Engineering and Technology
Chennai
Audio Version available in YouTube Link : www.youtube.com/Aksharam
subscribe the channel
Computer Architecture and Organization
V semester
Anna University
By
Babu M, Assistant Professor
Department of ECE
RMK College of Engineering and Technology
Chennai
Audio Version available in YouTube Link : www.youtube.com/Aksharam
subscribe the channel
Computer Architecture and Organization
V semester
Anna University
By
Babu M, Assistant Professor
Department of ECE
RMK College of Engineering and Technology
Chennai
Audio Version available in YouTube Link : www.youtube.com/Aksharam
subscribe the channel
Computer Architecture and Organization
V semester
Anna University
By
Babu M, Assistant Professor
Department of ECE
RMK College of Engineering and Technology
Chennai
Audio Version available in YouTube Link : www.youtube.com/Aksharam
subscribe the channel
Computer Architecture and Organization
V semester
Anna University
By
Babu M, Assistant Professor
Department of ECE
RMK College of Engineering and Technology
Chennai
Audio Version available in YouTube Link : www.youtube.com/Aksharam
subscribe the channel
Computer Architecture and Organization
V semester
Anna University
By
Babu M, Assistant Professor
Department of ECE
RMK College of Engineering and Technology
Chennai
Audio Version available in YouTube Link : www.youtube.com/Aksharam
subscribe the channel
Computer Architecture and Organization
V semester
Anna University
By
Babu M, Assistant Professor
Department of ECE
RMK College of Engineering and Technology
Chennai
The document describes Booth's algorithm for multiplying two binary numbers in two's complement notation. It was invented by Andrew Booth in 1950 to increase the speed of calculations on desk calculators that were faster at shifting than adding. The algorithm handles both positive and negative multipliers uniformly. It then provides an example of multiplying two positive binary numbers (+13 x +7) using Booth's algorithm in four steps: 1) representing the numbers in binary, 2) recoding the multiplier, 3) performing the multiplication, and 4) verifying the result.
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Computer Architecture and Organization
V semester
Anna University
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Babu M, Assistant Professor
Department of ECE
RMK College of Engineering and Technology
Chennai
Booth's algorithm allows for the binary multiplication of a positive multiplicand and negative multiplier. It involves 3 steps:
1) Representing the multiplicand and multiplier in binary, with the negative multiplier represented in 2's complement form.
2) Recoding the bits of the multiplier according to Booth's recoding table to translate it into a signed-digit form.
3) Multiplying the multiplicand by the recoded multiplier through successive additions or subtractions of the multiplicand according to the recoded bits. The result is the binary product of the positive and negative values.
Audio Version available in YouTube Link : www.youtube.com/Aksharam
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Computer Architecture and Organization
V semester
Anna University
By
Babu M, Assistant Professor
Department of ECE
RMK College of Engineering and Technology
Chennai
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMSIJNSA Journal
The smart irrigation system represents an innovative approach to optimize water usage in agricultural and landscaping practices. The integration of cutting-edge technologies, including sensors, actuators, and data analysis, empowers this system to provide accurate monitoring and control of irrigation processes by leveraging real-time environmental conditions. The main objective of a smart irrigation system is to optimize water efficiency, minimize expenses, and foster the adoption of sustainable water management methods. This paper conducts a systematic risk assessment by exploring the key components/assets and their functionalities in the smart irrigation system. The crucial role of sensors in gathering data on soil moisture, weather patterns, and plant well-being is emphasized in this system. These sensors enable intelligent decision-making in irrigation scheduling and water distribution, leading to enhanced water efficiency and sustainable water management practices. Actuators enable automated control of irrigation devices, ensuring precise and targeted water delivery to plants. Additionally, the paper addresses the potential threat and vulnerabilities associated with smart irrigation systems. It discusses limitations of the system, such as power constraints and computational capabilities, and calculates the potential security risks. The paper suggests possible risk treatment methods for effective secure system operation. In conclusion, the paper emphasizes the significant benefits of implementing smart irrigation systems, including improved water conservation, increased crop yield, and reduced environmental impact. Additionally, based on the security analysis conducted, the paper recommends the implementation of countermeasures and security approaches to address vulnerabilities and ensure the integrity and reliability of the system. By incorporating these measures, smart irrigation technology can revolutionize water management practices in agriculture, promoting sustainability, resource efficiency, and safeguarding against potential security threats.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
TIME DIVISION MULTIPLEXING TECHNIQUE FOR COMMUNICATION SYSTEMHODECEDSIET
Time Division Multiplexing (TDM) is a method of transmitting multiple signals over a single communication channel by dividing the signal into many segments, each having a very short duration of time. These time slots are then allocated to different data streams, allowing multiple signals to share the same transmission medium efficiently. TDM is widely used in telecommunications and data communication systems.
### How TDM Works
1. **Time Slots Allocation**: The core principle of TDM is to assign distinct time slots to each signal. During each time slot, the respective signal is transmitted, and then the process repeats cyclically. For example, if there are four signals to be transmitted, the TDM cycle will divide time into four slots, each assigned to one signal.
2. **Synchronization**: Synchronization is crucial in TDM systems to ensure that the signals are correctly aligned with their respective time slots. Both the transmitter and receiver must be synchronized to avoid any overlap or loss of data. This synchronization is typically maintained by a clock signal that ensures time slots are accurately aligned.
3. **Frame Structure**: TDM data is organized into frames, where each frame consists of a set of time slots. Each frame is repeated at regular intervals, ensuring continuous transmission of data streams. The frame structure helps in managing the data streams and maintaining the synchronization between the transmitter and receiver.
4. **Multiplexer and Demultiplexer**: At the transmitting end, a multiplexer combines multiple input signals into a single composite signal by assigning each signal to a specific time slot. At the receiving end, a demultiplexer separates the composite signal back into individual signals based on their respective time slots.
### Types of TDM
1. **Synchronous TDM**: In synchronous TDM, time slots are pre-assigned to each signal, regardless of whether the signal has data to transmit or not. This can lead to inefficiencies if some time slots remain empty due to the absence of data.
2. **Asynchronous TDM (or Statistical TDM)**: Asynchronous TDM addresses the inefficiencies of synchronous TDM by allocating time slots dynamically based on the presence of data. Time slots are assigned only when there is data to transmit, which optimizes the use of the communication channel.
### Applications of TDM
- **Telecommunications**: TDM is extensively used in telecommunication systems, such as in T1 and E1 lines, where multiple telephone calls are transmitted over a single line by assigning each call to a specific time slot.
- **Digital Audio and Video Broadcasting**: TDM is used in broadcasting systems to transmit multiple audio or video streams over a single channel, ensuring efficient use of bandwidth.
- **Computer Networks**: TDM is used in network protocols and systems to manage the transmission of data from multiple sources over a single network medium.
### Advantages of TDM
- **Efficient Use of Bandwidth**: TDM all
7. EXAMPLE
f = (g + h) – (i + j)
(g + h) add $s1,$t0,$t1
(i + j) add $s2,$t2,$t3
sub $s0,$s1,$s2
sw $s0, 16($s4)
g lw $t0,20($s4)
h lw $t1,24($s4)
i lw $t2,28($s4)
J lw $t4,32($s4)
8. LOGICAL INSTRUCTIONS
AND
SHIFT LEFT LOGICAL
SHIFT RIGHT LOGICAL
AND IMMEDIATE
and $s1,$s2,$s3
sll $s1,$s2,10
srl $s1,$s2,10
andi $s1,$s2,20
$s1 = $s2 & $s3
$s1 = $s2 << 10
$s1 = $s2 >> 10
$s1 = $s2 & 20
11. EXAMPLE
if (i==j)
f = g + h;
else
f = g – h;
lw $t0,28($s4)
lw $t1,32($s4)
lw $t2,20($s4)
lw $t3,24($s4)
bne $t0,$t2,Else
add $s0,$t2,$t3
j Exit
Else sub $s0,$t2,$t3
Exit sw $s0,16($s4)
Editor's Notes
Notes to presenter:
Description of what you learned in your own words on one side.
Include information about the topic
Details about the topic will also be helpful here.
Tell the story of your learning experience. Just like a story there should always be a beginning, middle and an end.
On the other side, you can add a graphic that provides evidence of what you learned.
Feel free to use more than one slide to reflect upon your process. It also helps to add some video of your process.