Quick Reads  ·  Concepts Explained Simply

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Short articles. One concept at a time.

These are focused reads — not full courses. Each article covers one idea clearly and moves on. Good for building foundational knowledge before diving into the deeper courses.

01
What Is a Computer?
Input, processing, output. Main components, hardware vs software, and types of computers.
02
Hardware vs Software
A clear overview of physical components vs. digital code and how they coordinate.
03
Understanding the CPU
The processor core and how it reads and executes machine instructions.
04
Inside the CPU
ALU, Control Unit, Registers, and buses coordinating internal operations.
05
Understanding Memory & Storage
The difference between temporary memory (RAM) and long-term permanent storage drives.
06
Intro to Computer Architecture
System design rules, registers, instructions, ISA, and microarchitectural layers.
07
RISC vs CISC Architecture
Comparing Reduced Instruction Set (RISC) and Complex Instruction Set (CISC) approaches.
08
ARM vs x86 Architecture
High performance vs. power efficiency: comparing the two dominant computing platforms.
09
Introduction to Cache Memory
High-speed SRAM buffers, L1/L2/L3 caches, and how they prevent processor memory stalls.
10
Pipelining in Processors
Overlapping instruction execution, standard stages (Fetch, Decode, Execute), hazards, and branch prediction.
11
Multicore Processors
Independent execution cores, parallel processing, SMT/Hyper-Threading, and multi-core performance limits.
12
CPU vs GPU
Comparing the Central Processing Unit (CPU) and Graphics Processing Unit (GPU) — sequential vs. parallel processing, architecture designs, and AI computing roles.
13
Motherboard Basics
The physical foundation of system hardware — CPU socket, RAM slots, PCIe lanes, chipset interfaces, and BIOS/UEFI startup layers.
14
What Happens When You Power On a Computer?
Detailed walkthrough of the computer boot process — power-on, BIOS/UEFI firmware, POST checks, bootloader execution, and OS kernel loading.
15
Introduction to Embedded Systems
Specialized computing architectures combining hardware firmware, low-power microcontrollers (MCUs), real-time determinism, and IoT networks.
16
Operating System Basics
System software orchestrations: CPU scheduling, virtual memory management, device drivers, and core user-kernel interface space boundaries.
17
Virtual Memory Basics
Memory virtualization concepts: physical RAM paging, page faults, swap space/page files, virtual address translation, and system thrashing.
18
Introduction to System-on-Chip (SoC) Architecture
Highly integrated silicon processors consolidating the CPU, GPU, memory controllers, built-in wireless transceivers, and dedicated NPUs on a single chip.
19
Introduction to Processor Scheduling
Task execution orchestrations: operating system ready queues, CPU time-slicing intervals, context-switching overheads, and multi-core symmetric multiprocessing.
20
Introduction to Parallel Computing
Concurrent calculation models: task decomposition, CPU/GPU hardware capabilities, data vs task parallelism boundaries, and scale challenges.
21
Introduction to Artificial Intelligence Hardware
Specialized AI acceleration processors: parallel matrix math, GPUs, TPUs, NPUs, and the critical role of high-bandwidth memory for deep learning workflows.
22
Future of Computer Architecture
Where processor design is heading: AI integration, heterogeneous computing, chiplet architecture, 3D stacking, power efficiency, and quantum and neuromorphic computing.
23
Conclusion — Understanding Modern Computing Systems
A closing overview of the fundamentals series, covering how hardware and software work together and what advanced topics to explore next.