Memory protection

Microcode

Pipelining

Superscalar

Very long instruction word (VLIW)

Branch Prediction

Graphics Processor (GPU)

Parallel Programming

Superpipelining

Vector Processors

Multithreading

Small Multiprocessors

Multiprocessor Interconnect

Large Multiprocessors

Directory Protocols

Set Architectures

Verilog

Exception handling

Cache (computing)

ELE/COS 475 Computer Architecture Princeton University Fall 2019 This course offers an in-depth understanding of modern computer processor and system architecture. It covers topics like instruction-set architecture, processor organization, cache, memory, multiprocessors, and more. Designed for senior-level undergraduates and first-year graduate students. An in-depth study of the fundamentals of modern computer processor and system architecture. Students will develop a strong theoretical and practical understanding of modern, cutting-edge computer architectures and implementations. Studied topics include: Instruction-set architecture and high-performance processor organization including pipelining, out-of-order execution, as well as data and instruction parallelism. Cache, memory, and storage architectures. Multiprocessors and multicore processors. Coherent caches. Interconnection and network infrastructures. If the course indicates that enrollment capacity has been reached, students are encouraged to come to the class and speak with the professor about enrollment. Approximately 20 pages of reading per week. Homework - 5 problem sets during the semester.  This course is targeted at senior-level undergraduates and first-year graduate students. Students should have a good working understanding of digital logic, basic processor design and organization, pipelining, and simple cache design. ELE 375/COS 375 and ELE 206/COS 306 or equivalent knowledge are necessary to succeed in ELE 475. Use of the Verilog hardware description language will be used in this course and prior knowledge of Verilog will be very helpful, but not required. **Required text:**

1.  Computer Architecture: A Quantitative Approach 5th or 6th edition
    -  John L. Hennessy and David A. Patterson
    -  Princeton University Library Owns

**Recommended Text:**

-  Modern Processor Design: Fundamentals of Superscalar Processors (1st Edition), 2004. First and second printing are the same.
    -  John P. Shen and Mikko H. Lipasti
    -  Approximately $68 on [Amazon](http://www.amazon.com/Modern-Processor-Design-Fundamentals-Superscalar/dp/1478607831/ "http://www.amazon.com/Modern-Processor-Design-Fundamentals-Superscalar/dp/1478607831/")
    -  ISBN: 978-1478607830
    -  Princeton University Library Owns

**Other Text:**

-  Verilog HDL: A Guide to Digital Design and Synthesis, (2nd Edition), 2003.
    -  Samir Palnitkar
    -  ISBN: 0-13-044911-3
    -  This book is a good Verilog reference as we will be using Verilog in the labs for this course. If you already know Verilog for synthesis than this may not be needed. The 1st and 2nd editions of this book work. Likewise there are many other Verilog references on the web and other books are available.
    -  The 1st edition can be purchased used from Amazon for less than $10, the 2nd edition is more expensive.
    -  Princeton University Library has free online access to this book: [Online Safari Version On Princeton Network](http://proquest.safaribooksonline.com/?uiCode=princeun&xmlId=0130449113 "http://proquest.safaribooksonline.com/?uiCode=princeun&xmlId=0130449113")

ELE/COS 475 Computer Architecture

Computer Systems

Machine organization

String (computer science)

Vector (C++)

System Programming

Memory allocation

Array (data structure)

Pointer (computer programming)

struct (C programming language)

Data structure alignment

Collection Summary

Signed number representations

Assembly language

Calling Conventions

Stack (abstract data type)

Caching

Operating system

Privilege separation

Virtual memory

Page table

Process Control

Process (computing)

Inter-Process Communication (IPC)

Thread (computing)

Race condition

Synchronization (computer science)

Synchronization Patterns

Deadlock

Networking

Scalability

Distributed Scalability

Failures

Consistency (database systems)

Real-world Distributed Systems

CS 131: Fundamentals of Computer Systems Brown University Spring 2020 This course delves deep into the foundational principles behind computer systems, ranging from hardware intricacies to the vast global internet. Students gain insights into systems programming, the architecture of computer systems, concurrency, and the dynamics of distributed systems. Notably, the curriculum includes projects that offer hands-on experience, like building library functions, creating a toy OS, and designing a scalable key-value storage service. It's a stepping stone to advanced courses like Distributed Systems, Databases, and Computer Systems Security. The goal of **CS 131/CSCI 1310** is to teach the fundamentals behind the "magic" of computer systems from the hardware level to the global internet. We'll cover the ideas, principles and abstractions that unify computer systems design – from how your laptop runs multiple programs at the same time, to how companies like Instagram, AirBnB, and Google operate large websites, to how easy it is to exploit security vulnerabilities on badly designed systems. This is a great class for students who are interested in learning **what** systems programming is, **how** systems work, and **why** these systems are so critical to modern technology. We will look at topics arranged in four main blocks during the course, building up your understanding across the whole systems stack:

1. **Computer Systems Basics**: programming in systems programming languages (C and C++); memory; how code executes; and why machine and memory organization mean that some code runs much faster than other code that implements the same algorithm.
    *Project*: you will build your own versions of standard library functions and a vector data structure (strvec), and you will develop your own debugging memory allocator, helping you understand common memory bugs in systems programming languages (DMalloc).
1. **Fundamentals of Operating Systems**: how your computer runs even buggy or incorrect programs without crashing; how it keeps your secrets in one program safe from others; and how an operating system like Windows, Mac OS X, or Linux works.
    *Project*: you will implement memory isolation via virtual memory in your own toy operating system (WeensyOS)!
1. **Concurrency and Parallel Programming**: how your computer can run multiple programs at the same time; how you can share memory even if running programs on multiple processors; why programming with concurrency is very difficult; and how concurrency is behind almost all major web services today.
    *Project*: you will implement the server-side component of a peer payment application called "Vunmo", and make it handle requests from many users.
1. **Distributed Systems**: what happens when you use more than one computer and have computers communicate over networks like the Internet; how hundreds of computer can work together to solve problems far too big for one computer; and how programs running distributedly can survive the failure of participating computers.
    *Project*: you will implement a sharded key-value storage service that can (in principle) scale over hundreds or thousands of machines.

The first block, Computer Systems Basics, begins today. It's about how we represent data and code in terms the computer can understand. But today's lecture is also a teaser lecture, so we'll see the material raise questions that you cannot yet answer (but you will, hopefully, at the end of the course!). CS 131/CSCI 1310 is open to anyone who has completed the introductory sequence (i.e., CS 16, 18, or 19). For students who don't satisfy the registration restrictions on CAB, please request an override code on CAB and include an explanation of your course experience, and we'll review your request. **What does CS 131 count for?** CS 131/CSCI 1310 is a 1000-level course that can count as a related course in the systems pathway of the CS concentration and masters. In addition, CS 131 will satisfy the prerequisites for CSCI 1380 (Distributed Systems), CSCI 1270 (Databases), CSCI 1650 (Software Security and Exploitation), CSCI 1660 (Computer Systems Security), CSCI 1730 (Programming Languages), CSCI 1951-A (Data Science), CSCI 1680 (Computer Networks), and CSCI 2390 (Privacy-Conscious Computer Systems).

CS 131: Fundamentals of Computer Systems

C Programming

Memory representation

Control flow

Call stack

Buffer overflow

Address translation

Inter-process communication

Pipeline (Unix)

Multiprocessing

Atomic instructions

Mutexes (Mutual exclusion)

Bounded-buffer problem

Condition variables

CSCI 0300: Fundamentals of Computer Systems Brown University Spring 2023 Introductory course covering computer system fundamentals including machine organization, systems programming in C/C++, operating systems concepts, isolation, security, virtualization, concurrency, and distributed systems. Projects involve implementing core OS functionality. CSCI 0300 covers fundamental concepts, principles, and abstractions that underlie the design and engineering of computer systems. You will learn how a computer works, how to write safe and performant systems software, and what systems abstractions support today's complex, high-performance systems developed in industry. Specific topics include machine organization, systems programming and performance, key concepts of operating systems, isolation, security, virtualization, concurrent programming, and the basics of distributed systems.

The course format is a combination of lectures, labs, and several hands-on projects involving programming exercises in C/C++. The goal of CSCI 0300/CS 300 is to teach the fundamentals behind the "magic" of computer systems from the hardware level to the global internet. We'll cover the ideas, principles and abstractions that unify computer systems design – from how your laptop runs multiple programs at the same time, to how companies like Instagram, Airbnb, and Google operate large websites, to how easy it is to exploit security vulnerabilities on badly designed systems. This is a great class for students who are interested in learning what systems programming is, how systems work, and why these systems are so critical to modern technology. This is an introductory computer systems course, designed to expose students to a broad set of fundamental concepts in computer systems and their practical applications. It is best suited for students who have completed the intro sequence, and to those who may want to deepen their understanding of systems concepts. Programming languages used in assignments include C and C++. ## CSCI 0300 highlights

- *Learn how a computer really works:* we'll look into what happens when a program runs, from the basics to high-level concepts!
- *Use industry-strength tools:* CSCI 0300 teaches you modern C/C++ programming with the tools that professional software engineers use!
- *Two programming languages for the price of one:* learn C and C++, two widely-used systems programming languages for high-performance software!
- *Real-world inspired projects:* in CSCI 0300's projects, you'll implement the core of your own operating system, and learn to build scalable infrastructure such as a distributed data store and a multi-threaded server similar to those companies use to run web services you use every day!

CSCI 0300: Fundamentals of Computer Systems

Memory protection

3 courses cover this concept

ELE/COS 475 Computer Architecture

CS 131: Fundamentals of Computer Systems

CSCI 0300: Fundamentals of Computer Systems