CHAMILKA MIHIRAJ PERERA

The Central Processing Unit (CPU) stands at the heart of every modern computing device, executing instructions and performing calculations that drive the functionality we interact with daily. To comprehend the inner workings of a CPU, we need to delve into its key components: the Arithmetic Logic Unit (ALU), Control Unit (CU), Register Memory, Cache Memory, and CPU Speed. What is a CPU? The CPU, often referred to as the “brain” of a computer, is responsible for executing instructions from software programs. It performs essential tasks such as arithmetic operations, logical comparisons, data manipulation, and managing the flow of data within the system. The CPU interacts with other hardware components, such as memory and input and output devices, to ensure the seamless functioning of a computer. ALU, CU, and Register Memory The CPU is divided into various components, each with a specific role. The  Arithmetic Logic Unit (ALU)  is the component responsible for carrying out arithmetic ope

In the intricate realm of computing, memory plays a pivotal role in storing and accessing data that fuels our digital experiences. This article embarks on a journey to unravel the nuances of computer memory, including main memory, secondary memory, the responsibilities of RAM, various types of RAM, and the intriguing concept of memory hierarchy. Understanding Computer Memory Computer memory refers to the physical components and systems that store data for processing, retrieval, and storage purposes. Memory enables devices to perform tasks efficiently and facilitates the smooth execution of software applications. In essence, memory serves as the repository where both data and instructions are stored, either temporarily or permanently. Main Memory vs. Secondary Memory Two distinct categories of computer memory exist: main memory and secondary memory. Main memory, commonly referred to as RAM (Random Access Memory), is a volatile form of memory that allows rapid data access and retrieval.

In the realm of modern computing, Graphics Processing Units (GPUs) have emerged as powerhouses driving visual experiences, scientific simulations, and more. This article embarks on a journey to unravel the intricacies of GPUs, differentiate between onboard and dedicated graphics, explore the diverse user base, and delve into the fascinating world of GPU technologies. Understanding GPUs A Graphics Processing Unit (GPU) is a specialized electronic circuit designed to accelerate image rendering and complex mathematical computations. Originally intended for rendering graphics, GPUs have evolved into versatile processors capable of handling parallel processing tasks efficiently. GPUs consist of numerous cores that can simultaneously perform calculations, making them particularly adept at tasks that require massive parallelism. Onboard vs. Dedicated Graphics In the landscape of GPUs, two primary categories exist  onboard graphics  and  dedicated graphics . Onboard graphics are integrated int

  Introduction Logic gates are fundamental components of digital circuits that form the backbone of modern technology. These gates process binary signals (0s and 1s) and perform logical operations, making them essential for computing, communication, and various electronic devices. In this article, we will delve into the world of logic gates, exploring their types, functions, and applications. 1. What are Logic Gates? At their core, logic gates are simple electronic devices that take one or more binary inputs and produce a binary output based on specific logical operations. These operations follow the principles of Boolean algebra, where true is represented as 1 and false as 0. The basic operations performed by logic gates include AND, OR, NOT, NAND, NOR, and XOR. 2. Types of Logic Gates a) AND Gate: The AND gate outputs 1 only when all of its inputs are 1. It behaves like the logical “AND” operator in Boolean algebra. b) OR Gate: The OR gate produces an output of 1 if any of its inputs

Introduction In the world of digital electronics, multiplexers, or MUX, are like the conductor of a symphony, seamlessly coordinating data from multiple sources to a single destination. Among the various types of MUX, the 2:1, 4:1, 8:1, and 16:1 configurations hold a significant place in modern electronic design. In this Medium post, we will delve into each of these multiplexers, exploring their operation, applications, and importance in shaping the world of digital circuits. 2:1 MUX — The Fundamental Building Block At its core, a 2:1 MUX is the simplest form of a multiplexer. It has two data inputs (I0 and I1), one output (Y), and a single control input (S). The control input (S) acts as the selector, determining which of the two data inputs is transmitted to the output. When the control input is low (0), I0 is selected, and when it is high (1), I1 is chosen. The truth table and Logic gate for a 2:1 MUX is as follows: 2:1 MUXs find applications in basic data routing, multiplexing digi