@huihoo: MIT 6.004 "Computation Structures" (Computation Structures) https://ocw.mit.edu/courses/6-004-computation-structures-spring-2017/… This is a classic course…

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Sharing resources from MIT 6.004, “Computation Structures,” a classic open course that explains, from the bottom up, the complete process of building computer systems—from transistors, logic gates, and instruction sets to pipelined CPUs, caches, and parallel processing—with slides, videos, and exercises.

MIT 6.004 "Computation Structures" https://ocw.mit.edu/courses/6-004-computation-structures-spring-2017/… This is a classic core undergraduate course in computer science and electrical engineering Taught by Professor Chris Terman, the course takes a bottom-up approach to showing how computer systems are built step by step, from the most basic physical components (transistors) to complex modern multicore computer systems It helps you understand the processes and details of how program code becomes native instructions, how it enters the cache, how instructions flow through the CPU pipeline, and how transistors switch on and off The course's 21 chapters are divided into four main sections: 1. Hardware Foundations: From Physics to Logic (Chapters 1–6) Information fundamentals and digital abstraction, CMOS and combinational logic, sequential logic and finite-state machines 2. The Hardware–Software Interface: Instruction Sets and Architecture Design (Chapters 7–12) Performance measurement and design trade-offs, instruction set design and assembly, compilers and stacks 3. Processor Design: Building the Beta Computer (Chapters 13–16) Building the Beta processor, pipeline design, memory arrays and caches 4. Modern Operating Systems and Parallel Processing (Chapters 17–21) Virtual memory, exceptions, interrupts and devices, concurrency, synchronization and parallelism Includes slides, videos and exercises—worth bookmarking
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MIT 6.004 “Computation Structures” (Computation Structures) https://ocw.mit.edu/courses/6-004-computation-structures-spring-2017/…

This is a classic core undergraduate course in computer science and electrical engineering Taught by Professor Chris Terman, the course takes a bottom-up approach to showing how computer systems are built step by step, from the most basic physical components (transistors) to complex modern multicore computer systems It helps explain the processes and details of how program code becomes native instructions, how it enters the cache, how the CPU pipeline operates, and how transistors switch on and off

The course’s 21 chapters are divided into four main sections:

  1. The Foundations of Hardware: From Physics to Logic (Chapters 1–6) Fundamentals of information and digital abstraction, CMOS and combinational logic, sequential logic and finite-state machines
  2. The Hardware–Software Interface: Instruction Sets and Architecture Design (Chapters 7–12) Performance measurement and design tradeoffs, instruction set design and assembly, compilers and stacks
  3. Processor Design: Building the Beta Computer (Chapters 13–16) Building the Beta processor, pipeline design, memory arrays and caches
  4. Modern Operating Systems and Parallel Processing (Chapters 17–21) Virtual memory, exceptions, interrupts and devices, concurrency, synchronization and parallelism

Includes slides, videos and exercises—worth bookmarking


Computation Structures | Electrical Engineering and Computer Science | MIT OpenCourseWare

Source: https://ocw.mit.edu/courses/6-004-computation-structures-spring-2017/

Course Description

This course introduces architecture of digital systems, emphasizing structural principles common to a wide range of technologies. It covers the topics including multilevel implementation strategies, definition of new primitives (e.g., gates, instructions, procedures, processes) and their mechanization using lower-level …

This course introduces architecture of digital systems, emphasizing structural principles common to a wide range of technologies. It covers the topics including multilevel implementation strategies, definition of new primitives (e.g., gates, instructions, procedures, processes) and their mechanization using lower-level elements. It also includes analysis of potential concurrency, precedence constraints and performance measures, pipelined and multidimensional systems, instruction set design issues and architectural support for contemporary software structures.

Course Info

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      • Computer Design and Engineering (https://ocw.mit.edu/search/?t=Computer+Design+and+Engineering) - - Digital Systems (https://ocw.mit.edu/search/?t=Digital+Systems)

Course Info

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Departments

Topics

Learning Resource Types

Programming Assignments with Examples

Gray Fox (@huihoo): CS 3410:Computer System Organization and Programming This is a core computer science course at Cornell University It primarily introduces computer organization, systems programming, and the interface between hardware and software

Core course content:

  • Systems programming in C: pointers, memory allocation (Stack/Heap), bitwise operations, data structures, compilation and linking
  • RISC-V

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