Deadlock

Concurrent Threads

Scheduling (computing)

Linkers

Virtual memory

File system

File System Crash Recovery

Virtual Machine (VM)

Lock (computer science)

Locks Implementation

Dynamic Linking

Demand Paging

Directories

Protection

Dispatching

Condition variables

Dynamic Storage Management

Disk Devices

Links

Flash Memory

Threads & Processes

CS 140: Operating Systems Stanford University Spring 2020 This course provides an in-depth understanding of the basic facilities provided by modern operating systems. It's structured into three major sections: concurrency, memory management, and file systems, followed by some smaller topics like virtual machines. The class includes one problem set and four programming projects based on the Pintos kernel, requiring a significant commitment of time. This class introduces the basic facilities provided by modern operating systems. The course divides into three major sections. The first part of the course discusses concurrency: how to manage multiple tasks that execute at the same time and share resources. Topics in this section include processes and threads, context switching, synchronization, scheduling, and deadlock. The second part of the course addresses the problem of memory management; it will cover topics such as linking, dynamic memory allocation, dynamic address translation, virtual memory, and demand paging. The third major part of the course concerns file systems, including topics such as storage devices, disk management and scheduling, directories, protection, and crash recovery. After these three major topics, the class will conclude with a few smaller topics such as virtual machines.

The class work consists of one problem set and a series of four programming projects based on the Pintos kernel. You will learn a lot from these projects, but be prepared to spend a significant amount of time working on them.   There is no required textbook for this class: the material of the course is defined by the lectures and does not exactly correspond to any existing book. However, I recommend the following book if you would like an additional source of material to supplement lectures:

- [Operating Systems: Principles and Practice (2nd Edition)](http://www.amazon.com/Operating-Systems-Principles-Thomas-Anderson/dp/0985673524/ref=pd_sim_14_2?ie=UTF8&dpID=51SFTQvZ7zL&dpSrc=sims&preST=_AC_UL160_SR123%2C160_&refRID=0ZR0KTC2DWEZCFFVAR26), by Thomas Anderson and Michael Dahlin.

Each page of lecture notes lists related readings in this book at the front of the notes page. Most students find that the material from lecture is sufficient for their course needs, so I recommend that you start the course without the book and only purchase the book if you are having difficulties understanding the lectures.

CS 140: Operating Systems

Operating Systems

Concurrency

Magnetic Disks

Virtual Machine Monitors

Lock Implementation

CS 111 Operating Systems Principles Stanford University Autumn 2022 An introductory course to operating systems, CS 111 builds upon programming experience to explore how operating systems function. The course provides an understanding of OS design challenges, such as filesystems, system calls, concurrency, virtual memory, demand paging, and others. Knowledge in C/C++ and Unix/Linux environment is prerequisite. CS111 is Stanford's introductory operating systems course. The CS106 courses provide you with a solid foundation in programming methodology and abstractions, and CS107 builds up and expands your breadth and depth of programming experience and techniques, working from the C programming language down to the microprocessor to de-mystify the machine. CS111 leverages this programming experience to introduce operating systems and how they work. With an understanding of both how to leverage operating system functionality in your own programs as well as how operating systems manage tasks behind the scenes, you will have a better understanding of how operating systems work, the kinds of design challenges present in operating systems and other large systems, and key computing ideas such as virtualization that are applicable in many different areas. Topics covered include: filesystems, system calls, concurrency, multiprocessing, multithreading, race conditions, synchronization primitives, virtual memory, demand paging and operating system design challenges.  The prerequisite for CS111 is CS107 (or equivalent). You should have practical C/C++ skills and be able to write programs with complex use of memory and pointers and dynamic memory allocation (`malloc`/`realloc`/`free`/`new`/`delete`). You should understand C++ classes, methods, and be able to work with appropriate data structures (arrays, maps, etc.) and standard algorithms (searching, sorting, hashing). (There are C++ features you're not expected to know, but you should be comfortable picking those features up and consulting references as needed). You should be familiar with programming in a Unix/Linux environment using tools such as `make`, `gcc/g++`, `valgrind`, `gdb`, etc. and have a working understanding of the basics of computer architecture (x86-64 as it’s taught in CS107, or exposure to some other architecture and the ability to pick up x86-64 as we reference it). Come talk with us if you need help determining the right placement for you. ### CS111A

CS111A, also called Pathfinders (or ACE), is a supplementary instruction program that meets for a weekly section and holds Pathfinders-specific review sessions. CS111A is application-only; CS111A is done in addition to all the normal requirements for CS111. You will receive an extra unit of course credit for the work you do in this program. Enrollment in CS111A is by application, and you can find more information at this link: [click here](https://engineering.stanford.edu/students-academics/equity-and-inclusion-initiatives/undergraduate-programs/additional-calculus). Once enrollment decisions are made, students who are accepted will then be given a permission number to enroll in CS111A on Axess. If you have questions about CS111A, please email the ACE CA (contact information listed on the course homepage).

### Textbook

There is no required textbook for CS111: the material of the course is defined by the lectures and does not exactly correspond to any existing book. However, we recommend the following book if you would like an additional source of material to supplement lectures:

*Operating Systems: Principles and Practice (2nd Edition), by Thomas Anderson and Michael Dahlin.*

Each lecture lists related readings in this book on the first slide, where applicable. Most students find that the material from lecture is sufficient for their course needs, so we recommend that you start the course without the book and only purchase the book if you decide you would like additional material and explanations beyond what is in lecture.

CS 111 Operating Systems Principles

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

Memory protection

Page table

Process Control

Process (computing)

Inter-Process Communication (IPC)

Thread (computing)

Race condition

Synchronization (computer science)

Synchronization Patterns

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

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

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

Address Space

Monitors

Starvation

TLB (Translation Lookaside Buffer)

General I/O

Queueing Theory

Reliability

Distributed Decision Making

Remote Procedure Call (RPC)

Key-Value Stores

Quantum Computing

Fork

Sockets

Semaphores

Computer memory

Segments

Demand Paging Policies

Performance

Buffering

End-to-End Arguments

TCP/IP

NFS & AFS

DataCapsules

System Calls

Device Drivers

Mutual Exclusion

Readers/Writers

Paging

Storage Devices

Filesystem Design

Transactions

Distributed Storage

Chord

Input/output

CS 162: Operating Systems and Systems Programming UC Berkeley Fall 2022 This course introduces operating systems design and related concepts. It covers topics like memory allocation, file systems, basic networking, transactions, and security. The course requires foundational knowledge in data structures, assembly language, C programming, and debugging. It aims to improve students' skills in debugging large programs and computational problem solving. The purpose of this course is to teach the design of operating systems and operating systems concepts that appear in other computer systems. Topics we will cover include concepts of operating systems, systems programming, networked and distributed systems, and storage systems, including multiple-program systems (processes, interprocess communication, and synchronization), memory allocation (segmentation, paging), resource allocation and scheduling, file systems, basic networking (sockets, layering, APIs, reliability), transactions, security, and privacy.  CS 61A, CS 61B, CS 61C, and CS 70, or equivalent courses. This means that you understand:

- Data structures: arrays, linked lists, binary trees, and hashing
- Assembly language programming
- The C programming language
- Debugging C using GDB
- CPU caches and memory hierarchy
- Virtual memory as covered in CS 61C
- CPU pipelines and basic digital logic design
- Basic knowledge of random variables and probability distributions as covered in CS 70


The TAs will spend a small amount of time reviewing some of the material you are less likely to remember. We will assume that you either know the material that is supposed to be covered in those courses, or that you are willing to learn the material as necessary. We will not spend time in lecture covering any of this material. **Perhaps more important than formal prequisites, however, is experience and maturity with debugging large programs, designing and implementing useful abstractions, and computational problem solving in general. This class will exercise your skills in these areas.**

If you feel that you would benefit from additional review of these prerequisites, we recommend using the following resources:

1. For a good review of probability as you’ll need it in this class, read through CS 70 Lecture Notes [15](https://inst.eecs.berkeley.edu/~cs70/sp14/notes/n15.pdf), [16](https://inst.eecs.berkeley.edu/~cs70/sp14/notes/n16.pdf), [17](https://inst.eecs.berkeley.edu/~cs70/sp14/notes/n17.pdf), [18](https://inst.eecs.berkeley.edu/~cs70/sp14/notes/n18.pdf), and [19](https://inst.eecs.berkeley.edu/~cs70/sp14/notes/n19.pdf).

1. Hennessy, John L. and Patterson, David A. *Computer Architecture: A Quantitative Approach*. 5th edition. **Although the main content of this book goes far more in-depth into computer architecture than you are expected to know for this class, the appendices provide an excellent overview of some of the prerequisites. Focus specifically on the sections below:**

- 2.1 and B.1 - B.4 (you can skip the sixth optimization in B.3) review caching, virtual memory, and memory hierarchies.
- C.1 - C.2 review CPU pipelines at the level of CS 61C. We are using the textbook “Operating Systems: Principles and Practice” by Anderson and Dahlin (A&D). The reading from this textbook is **strongly recommended**. There will be some additional readings that are not from this textbook that are freely available online. These will be linked on the course website in the "Readings" column for your viewing.

#### Strongly Recommended
[Operating Systems: Principles and Practice (2nd Edition)](http://ospp.cs.washington.edu/)
#### Recommended
[Operating Systems: Three Easy Pieces](http://pages.cs.wisc.edu/~remzi/OSTEP/)
#### Supplemental
[Linux Kernel Development (3rd Edition)](http://www.amazon.com/Linux-Kernel-Development-3rd-Edition/dp/0672329468)