So far, we know: Wednesday, October 4, Thread_Programming Page 1

Size: px
Start display at page:

Download "So far, we know: Wednesday, October 4, Thread_Programming Page 1"

Transcription

1 Thread_Programming Page 1 So far, we know: 11:50 AM How to create a thread via pthread_mutex_create How to end a thread via pthread_mutex_join How to lock inside a thread via pthread_mutex_lock and pthread_mutex_unlock. And some basics of thread semantics: A thread shares everything but the stack with the main process. A thread cannot continue to run if the process dies. A thread can itself create threads and join threads. Threads created by a threads are threads of the process; there is no such thing as a thread of a thread. Threads don't -- without special preparation -- respond to signals.

2 Thread_Programming Page 2 Basic multi-threaded programming 11:53 AM The basic problem: a large computational problem in shared memory that can be broken into smaller problems to be solved somewhat independently. Example: make a list of all pictures in a directory with your face in them. Thread job: check out a few pictures per thread. Thread advantage: can be checking a picture while other threads are reading theirs into memory.

3 Thread_Programming Page 3 Put a picture into a list 11:57 AM char pictures[numpics][numchars]; int num_of_pics; void add_picture(const char *name) { (pictures[num_of_pics], name); num_of_pics = num_of_pics + 1; } This would seem a relatively innocent procedure, until you try to execute it in multiple threads. What can go wrong?

4 Thread_Programming Page 4 Some basic concepts of thread programming 11:56 AM A schedule is a depiction of what happens when between several threads. This is typically a table in which threads are in columns and instructions are in rows. A critical section is a fragment of code in which undesirable schedules can arise.

5 Are there harmful schedules? 12:03 PM void add_picture(const char *name) { (pictures[number_of_pics], name); number_of_pics = number_of_pics + 1; } Consider the following schedule:... other stuff... We lose the first completely in this schedule. There is a corrupt picture name in the array as well. (In case things weren't already bad enough.) Thread_Programming Page 5

6 How did that schedule happen? 1:07 PM... other stuff... Two context switches separate the and the for one of the threads. Not likely, but possible! In general, your analysis should consider whether a schedule is possible. The schedule is problematic but impossible; the scheduler will never context-switch that quickly. Thread_Programming Page 6

7 Thread_Programming Page 7 The basic principles of multithreaded programming 12:05 PM Identify critical sections in which undesirable schedules exist Surround critical sections with mutual exclusion locks to prohibit undesirable schedules. Minimize the time spent locked inside critical sections. With some important caveats: It is not possible to empirically determine a critical section. This is a theoretical result based upon the program's structure as assembly language. Some rather surprising things are critical sections.

8 Thread_Programming Page 8 A fairly simple fix to our program 12:08 PM void add_picture(const char *name) { pthread_mutex_lock(&lock); (pictures[num_of_pics], name); num_of_pics = num_of_pics + 1; pthread_mutex_unlock(&lock); } After this, the harmful schedule cannot happen, and only schedules like can happen.

9 Thread_Programming Page 9 Some facts about mutexes 12:10 PM Inserting a mutex always slows a program down, with the benefit of increasing determinism of the program. Code inside critical sections is serialized; only one core can enter a critical section at a time. Running slowly is better than losing data!

10 Thread_Programming Page 10 But wait, exactly what comprises a critical section? 12:12 PM Is num_of_pics = num_of_pics + 1; a critical section by itself? Depends on the computer's architecture! Suppose this is implemented in two-address assembler, e.g., as something like LDA #num_of_pics INCA STA #num_of_pics Is there a harmful schedule?

11 This is darn subtle! 12:14 PM Remember that the scheduler can stop execution of a thread and start execution for another thread at an unpredictable time. This happens at the boundary between two assembly-language instructions. We say that assembly language instructions are instructionally atomic, in the sense that an instruction is never halfcompleted. The instruction being executed when a context switch occurs either happens, or is interrupted before it does anything. Thus the following schedule is possible but very, very unlikely: LDA #num_of_pics INCA STA #num_of_pics LDA #num_of_pics INCA STA #num_of_pics... other stuff... And we lose an! Thread_Programming Page 11

12 Thread_Programming Page 12

13 Thread_Programming Page 13 So, 12:20 PM You don't need to lock around single instructions, but you do need to lock around sequences of instructions that act on the same data; these are critical. Most lines of C are compiled into more than one instruction!

14 Secrets of locking 12:22 PM The locking mechanism itself depends upon this fact. All mutexes are implemented by some form of "test-set" instruction. test-set #address if #address is 0, then set it to 1 if #address is 1, do nothing. In the same instruction, put old value into a register (usually an accumulator). How this works: If the accumulator is 0 and the memory is 1, you got the lock. In any other case, you didn't get the lock. pthread_mutex_lock exploits this by reserving a piece of memory and checking its state. A simple theoretical fact: if several threads race to employ test-set, exactly one of them wins the race and the lock. The rest are "too late", in the sense that the memory is already 1. Thread_Programming Page 14

15 Thread_Programming Page 15 What happened in assignment 1 12:30 PM In assignment 1, you observed that successful calls to pthread_mutex_lock use only user time. Why? From the point of view of the thread, If the mutex is unlocked, test-set succeeds. Thus "you get the lock". You haven't made a system call. If the mutex is not unlocked or you lose the race, test-set fails. Thus your thread blocks. At this point, you need to call the kernel to block yourself! Caveat: if there are few races, mutexes are super-efficient, requiring only two machine instructions to lock and one to unlock. (The second instruction compares the accumulator to the memory location to see if you got the lock)

16 So, is a line of C -- by itself -- ever atomic? 12:39 PM Perhaps, but it is very bad form to presume this. It depends upon the architecture. Consider, e.g., ++number_of_pics; which might be implemented as either LDA #number_of_pics INCA STA #number_of_pics or INCI #number_of_pics // immediate In the former case, it's not atomic. In the latter case, it is. However, and this is very important -- the latter case violates the semantics of C. ++i is supposed to leave the value of i in a register! So, it's actually rather difficult to assure that a single line of C is atomic! Thread_Programming Page 16

17 Thread_Programming Page 17 Heisenbugs 12:49 PM Heisenberg's uncertainty principle: It is not possible to measure the position of an electron without changing that position. Inspired by the uncertainty principle, a "Heisenbug" is a bug in a program that is exceedingly difficult to reproduce. It might do something bad one time in a million. Only solution is to reason properly about the position of the critical section, to prevent that very unlikely schedule from ever happening.

18 Thread_Programming Page 18 Facts about Heisenbugs 12:55 PM It is not possible to find Heisenbugs through debugging. Their nature is to be difficult to observe. One must instead analyze the code theoretically. (you knew theory was good for something! :) More generally, it is necessary to use theory to determine that a locking scheme is deadlock-free.

Synchronising Threads

Synchronising Threads Synchronising Threads David Chisnall March 1, 2011 First Rule for Maintainable Concurrent Code No data may be both mutable and aliased Harder Problems Data is shared and mutable Access to it must be protected

More information

Threads Tuesday, September 28, :37 AM

Threads Tuesday, September 28, :37 AM Threads_and_fabrics Page 1 Threads Tuesday, September 28, 2004 10:37 AM Threads A process includes an execution context containing Memory map PC and register values. Switching between memory maps can take

More information

So far, we've seen situations in which locking can improve reliability of access to critical sections.

So far, we've seen situations in which locking can improve reliability of access to critical sections. Locks Page 1 Using locks Monday, October 6, 2014 9:49 AM So far, we've seen situations in which locking can improve reliability of access to critical sections. In general, how can one use locks? Locks

More information

Concurrency. Glossary

Concurrency. Glossary Glossary atomic Executing as a single unit or block of computation. An atomic section of code is said to have transactional semantics. No intermediate state for the code unit is visible outside of the

More information

Programmazione di sistemi multicore

Programmazione di sistemi multicore Programmazione di sistemi multicore A.A. 2015-2016 LECTURE 12 IRENE FINOCCHI http://wwwusers.di.uniroma1.it/~finocchi/ Shared-memory concurrency & mutual exclusion TASK PARALLELISM AND OVERLAPPING MEMORY

More information

CS510 Advanced Topics in Concurrency. Jonathan Walpole

CS510 Advanced Topics in Concurrency. Jonathan Walpole CS510 Advanced Topics in Concurrency Jonathan Walpole Threads Cannot Be Implemented as a Library Reasoning About Programs What are the valid outcomes for this program? Is it valid for both r1 and r2 to

More information

ENCM 501 Winter 2019 Assignment 9

ENCM 501 Winter 2019 Assignment 9 page 1 of 6 ENCM 501 Winter 2019 Assignment 9 Steve Norman Department of Electrical & Computer Engineering University of Calgary April 2019 Assignment instructions and other documents for ENCM 501 can

More information

Threads Cannot Be Implemented As a Library

Threads Cannot Be Implemented As a Library Threads Cannot Be Implemented As a Library Authored by Hans J. Boehm Presented by Sarah Sharp February 18, 2008 Outline POSIX Thread Library Operation Vocab Problems with pthreads POSIX Thread Library

More information

CMSC421: Principles of Operating Systems

CMSC421: Principles of Operating Systems CMSC421: Principles of Operating Systems Nilanjan Banerjee Assistant Professor, University of Maryland Baltimore County nilanb@umbc.edu http://www.csee.umbc.edu/~nilanb/teaching/421/ Principles of Operating

More information

CSE 153 Design of Operating Systems

CSE 153 Design of Operating Systems CSE 153 Design of Operating Systems Winter 19 Lecture 7/8: Synchronization (1) Administrivia How is Lab going? Be prepared with questions for this weeks Lab My impression from TAs is that you are on track

More information

CSE 374 Programming Concepts & Tools

CSE 374 Programming Concepts & Tools CSE 374 Programming Concepts & Tools Hal Perkins Fall 2017 Lecture 22 Shared-Memory Concurrency 1 Administrivia HW7 due Thursday night, 11 pm (+ late days if you still have any & want to use them) Course

More information

Recall from deadlock lecture. Tuesday, October 18, 2011

Recall from deadlock lecture. Tuesday, October 18, 2011 Recall from deadlock lecture Tuesday, October 18, 2011 1:17 PM Basic assumptions of deadlock theory: If a process gets the resources it requests, it completes, exits, and releases resources. There are

More information

Synchronization. CS61, Lecture 18. Prof. Stephen Chong November 3, 2011

Synchronization. CS61, Lecture 18. Prof. Stephen Chong November 3, 2011 Synchronization CS61, Lecture 18 Prof. Stephen Chong November 3, 2011 Announcements Assignment 5 Tell us your group by Sunday Nov 6 Due Thursday Nov 17 Talks of interest in next two days Towards Predictable,

More information

CS 31: Introduction to Computer Systems : Threads & Synchronization April 16-18, 2019

CS 31: Introduction to Computer Systems : Threads & Synchronization April 16-18, 2019 CS 31: Introduction to Computer Systems 22-23: Threads & Synchronization April 16-18, 2019 Making Programs Run Faster We all like how fast computers are In the old days (1980 s - 2005): Algorithm too slow?

More information

POSIX / System Programming

POSIX / System Programming POSIX / System Programming ECE 650 Methods and Tools for Software Eng. Guest lecture 2017 10 06 Carlos Moreno cmoreno@uwaterloo.ca E5-4111 2 Outline During today's lecture, we'll look at: Some of POSIX

More information

CS 450 Exam 2 Mon. 4/11/2016

CS 450 Exam 2 Mon. 4/11/2016 CS 450 Exam 2 Mon. 4/11/2016 Name: Rules and Hints You may use one handwritten 8.5 11 cheat sheet (front and back). This is the only additional resource you may consult during this exam. No calculators.

More information

CSE 332: Data Structures & Parallelism Lecture 17: Shared-Memory Concurrency & Mutual Exclusion. Ruth Anderson Winter 2019

CSE 332: Data Structures & Parallelism Lecture 17: Shared-Memory Concurrency & Mutual Exclusion. Ruth Anderson Winter 2019 CSE 332: Data Structures & Parallelism Lecture 17: Shared-Memory Concurrency & Mutual Exclusion Ruth Anderson Winter 2019 Toward sharing resources (memory) So far, we have been studying parallel algorithms

More information

More Shared Memory Programming

More Shared Memory Programming More Shared Memory Programming Shared data structures We want to make data structures that can be shared by threads. For example, our program to copy a file from one disk to another used a shared FIFO

More information

EECS 482 Introduction to Operating Systems

EECS 482 Introduction to Operating Systems EECS 482 Introduction to Operating Systems Winter 2018 Baris Kasikci Slides by: Harsha V. Madhyastha http://knowyourmeme.com/memes/mind-blown 2 Recap: Processes Hardware interface: app1+app2+app3 CPU +

More information

Parallel Programming: Background Information

Parallel Programming: Background Information 1 Parallel Programming: Background Information Mike Bailey mjb@cs.oregonstate.edu parallel.background.pptx Three Reasons to Study Parallel Programming 2 1. Increase performance: do more work in the same

More information

Parallel Programming: Background Information

Parallel Programming: Background Information 1 Parallel Programming: Background Information Mike Bailey mjb@cs.oregonstate.edu parallel.background.pptx Three Reasons to Study Parallel Programming 2 1. Increase performance: do more work in the same

More information

CSE 153 Design of Operating Systems Fall 2018

CSE 153 Design of Operating Systems Fall 2018 CSE 153 Design of Operating Systems Fall 2018 Lecture 5: Threads/Synchronization Implementing threads l Kernel Level Threads l u u All thread operations are implemented in the kernel The OS schedules all

More information

PROVING THINGS ABOUT PROGRAMS

PROVING THINGS ABOUT PROGRAMS PROVING THINGS ABOUT CONCURRENT PROGRAMS Lecture 23 CS2110 Fall 2010 Overview 2 Last time we looked at techniques for proving things about recursive algorithms We saw that in general, recursion matches

More information

Background. Old Producer Process Code. Improving the Bounded Buffer. Old Consumer Process Code

Background. Old Producer Process Code. Improving the Bounded Buffer. Old Consumer Process Code Old Producer Process Code Concurrent access to shared data may result in data inconsistency Maintaining data consistency requires mechanisms to ensure the orderly execution of cooperating processes Our

More information

CS 455: INTRODUCTION TO DISTRIBUTED SYSTEMS [THREADS] Frequently asked questions from the previous class survey

CS 455: INTRODUCTION TO DISTRIBUTED SYSTEMS [THREADS] Frequently asked questions from the previous class survey CS 455: INTRODUCTION TO DISTRIBUTED SYSTEMS [THREADS] Threads block when they can t get that lock Wanna have your threads stall? Go ahead, synchronize it all The antidote to this liveness pitfall? Keeping

More information

Introduction to Parallel Programming Part 4 Confronting Race Conditions

Introduction to Parallel Programming Part 4 Confronting Race Conditions Introduction to Parallel Programming Part 4 Confronting Race Conditions Intel Software College Objectives At the end of this module you should be able to: Give practical examples of ways that threads may

More information

CMSC 330: Organization of Programming Languages

CMSC 330: Organization of Programming Languages CMSC 330: Organization of Programming Languages Multithreading Multiprocessors Description Multiple processing units (multiprocessor) From single microprocessor to large compute clusters Can perform multiple

More information

Debugging Page 1. Current context. Monday, October 15, :38 PM

Debugging Page 1. Current context. Monday, October 15, :38 PM Debugging Page 1 Current context 4:38 PM Debugging Wednesday, October 10, 2012 9:51 AM The art of debugging Actually a misnomer. You aren't "debugging a program." You're "debugging your understanding"

More information

A Sophomoric Introduction to Shared-Memory Parallelism and Concurrency Lecture 4 Shared-Memory Concurrency & Mutual Exclusion

A Sophomoric Introduction to Shared-Memory Parallelism and Concurrency Lecture 4 Shared-Memory Concurrency & Mutual Exclusion A Sophomoric Introduction to Shared-Memory Parallelism and Concurrency Lecture 4 Shared-Memory Concurrency & Mutual Exclusion Dan Grossman Last Updated: August 2010 For more information, see http://www.cs.washington.edu/homes/djg/teachingmaterials/

More information

COMP 3430 Robert Guderian

COMP 3430 Robert Guderian Operating Systems COMP 3430 Robert Guderian file:///users/robg/dropbox/teaching/3430-2018/slides/04_threads/index.html?print-pdf#/ 1/58 1 Threads Last week: Processes This week: Lesser processes! file:///users/robg/dropbox/teaching/3430-2018/slides/04_threads/index.html?print-pdf#/

More information

CSE332: Data Abstractions Lecture 22: Shared-Memory Concurrency and Mutual Exclusion. Tyler Robison Summer 2010

CSE332: Data Abstractions Lecture 22: Shared-Memory Concurrency and Mutual Exclusion. Tyler Robison Summer 2010 CSE332: Data Abstractions Lecture 22: Shared-Memory Concurrency and Mutual Exclusion Tyler Robison Summer 2010 1 Toward sharing resources (memory) So far we ve looked at parallel algorithms using fork-join

More information

CSCI 447 Operating Systems Filip Jagodzinski

CSCI 447 Operating Systems Filip Jagodzinski Filip Jagodzinski Announcements Reading Task Should take 30 minutes-ish maximum Homework 2 Book questions including two custom ones will be posted to the course website today Programming tasks will be

More information

CS 153 Design of Operating Systems Winter 2016

CS 153 Design of Operating Systems Winter 2016 CS 153 Design of Operating Systems Winter 2016 Lecture 7: Synchronization Administrivia Homework 1 Due today by the end of day Hopefully you have started on project 1 by now? Kernel-level threads (preemptable

More information

Locks. Dongkun Shin, SKKU

Locks. Dongkun Shin, SKKU Locks 1 Locks: The Basic Idea To implement a critical section A lock variable must be declared A lock variable holds the state of the lock Available (unlocked, free) Acquired (locked, held) Exactly one

More information

COMP6771 Advanced C++ Programming

COMP6771 Advanced C++ Programming 1.... COMP6771 Advanced C++ Programming Week 9 Multithreading 2016 www.cse.unsw.edu.au/ cs6771 .... Single Threaded Programs All programs so far this semester have been single threaded They have a single

More information

Programming in Parallel COMP755

Programming in Parallel COMP755 Programming in Parallel COMP755 All games have morals; and the game of Snakes and Ladders captures, as no other activity can hope to do, the eternal truth that for every ladder you hope to climb, a snake

More information

Operating Systems. Lecture 4 - Concurrency and Synchronization. Master of Computer Science PUF - Hồ Chí Minh 2016/2017

Operating Systems. Lecture 4 - Concurrency and Synchronization. Master of Computer Science PUF - Hồ Chí Minh 2016/2017 Operating Systems Lecture 4 - Concurrency and Synchronization Adrien Krähenbühl Master of Computer Science PUF - Hồ Chí Minh 2016/2017 Mutual exclusion Hardware solutions Semaphores IPC: Message passing

More information

Computation Abstractions. Processes vs. Threads. So, What Is a Thread? CMSC 433 Programming Language Technologies and Paradigms Spring 2007

Computation Abstractions. Processes vs. Threads. So, What Is a Thread? CMSC 433 Programming Language Technologies and Paradigms Spring 2007 CMSC 433 Programming Language Technologies and Paradigms Spring 2007 Threads and Synchronization May 8, 2007 Computation Abstractions t1 t1 t4 t2 t1 t2 t5 t3 p1 p2 p3 p4 CPU 1 CPU 2 A computer Processes

More information

Deviations are things that modify a thread s normal flow of control. Unix has long had signals, and these must be dealt with in multithreaded

Deviations are things that modify a thread s normal flow of control. Unix has long had signals, and these must be dealt with in multithreaded Deviations are things that modify a thread s normal flow of control. Unix has long had signals, and these must be dealt with in multithreaded improvements to Unix. There are actually two fairly different

More information

The New Java Technology Memory Model

The New Java Technology Memory Model The New Java Technology Memory Model java.sun.com/javaone/sf Jeremy Manson and William Pugh http://www.cs.umd.edu/~pugh 1 Audience Assume you are familiar with basics of Java technology-based threads (

More information

PROCESS SYNCHRONIZATION

PROCESS SYNCHRONIZATION PROCESS SYNCHRONIZATION Process Synchronization Background The Critical-Section Problem Peterson s Solution Synchronization Hardware Semaphores Classic Problems of Synchronization Monitors Synchronization

More information

Introduction to PThreads and Basic Synchronization

Introduction to PThreads and Basic Synchronization Introduction to PThreads and Basic Synchronization Michael Jantz, Dr. Prasad Kulkarni Dr. Douglas Niehaus EECS 678 Pthreads Introduction Lab 1 Introduction In this lab, we will learn about some basic synchronization

More information

Operating Systems (234123) Spring (Homework 3 Wet) Homework 3 Wet

Operating Systems (234123) Spring (Homework 3 Wet) Homework 3 Wet Due date: Monday, 4/06/2012 12:30 noon Teaching assistants in charge: Operating Systems (234123) Spring-2012 Homework 3 Wet Anastasia Braginsky All emails regarding this assignment should be sent only

More information

Concurrent Programming

Concurrent Programming Concurrency Concurrent Programming A sequential program has a single thread of control. Its execution is called a process. A concurrent program has multiple threads of control. They may be executed as

More information

CS-537: Midterm Exam (Spring 2009) The Future of Processors, Operating Systems, and You

CS-537: Midterm Exam (Spring 2009) The Future of Processors, Operating Systems, and You CS-537: Midterm Exam (Spring 2009) The Future of Processors, Operating Systems, and You Please Read All Questions Carefully! There are 15 total numbered pages. Please put your NAME and student ID on THIS

More information

Boot Camp. Dave Eckhardt Bruce Maggs

Boot Camp. Dave Eckhardt Bruce Maggs Boot Camp Dave Eckhardt de0u@andrew.cmu.edu Bruce Maggs bmm@cs.cmu.edu 1 This Is a Hard Class Traditional hazards 410 letter grade one lower than other classes All other classes this semester: one grade

More information

CSE 451: Operating Systems Winter Lecture 7 Synchronization. Steve Gribble. Synchronization. Threads cooperate in multithreaded programs

CSE 451: Operating Systems Winter Lecture 7 Synchronization. Steve Gribble. Synchronization. Threads cooperate in multithreaded programs CSE 451: Operating Systems Winter 2005 Lecture 7 Synchronization Steve Gribble Synchronization Threads cooperate in multithreaded programs to share resources, access shared data structures e.g., threads

More information

Synchronization I. Jo, Heeseung

Synchronization I. Jo, Heeseung Synchronization I Jo, Heeseung Today's Topics Synchronization problem Locks 2 Synchronization Threads cooperate in multithreaded programs To share resources, access shared data structures Also, to coordinate

More information

Our topic. Concurrency Support. Why is this a problem? Why threads? Classic solution? Resulting architecture. Ken Birman

Our topic. Concurrency Support. Why is this a problem? Why threads? Classic solution? Resulting architecture. Ken Birman Our topic Concurrency Support Ken Birman To get high performance, distributed systems need to achieve a high level of concurrency As a practical matter: interleaving tasks, so that while one waits for

More information

Dealing with Issues for Interprocess Communication

Dealing with Issues for Interprocess Communication Dealing with Issues for Interprocess Communication Ref Section 2.3 Tanenbaum 7.1 Overview Processes frequently need to communicate with other processes. In a shell pipe the o/p of one process is passed

More information

! Why is synchronization needed? ! Synchronization Language/Definitions: ! How are locks implemented? Maria Hybinette, UGA

! Why is synchronization needed? ! Synchronization Language/Definitions: ! How are locks implemented? Maria Hybinette, UGA Chapter 6: Process [& Thread] Synchronization CSCI [4 6] 730 Operating Systems Synchronization Part 1 : The Basics! Why is synchronization needed?! Synchronization Language/Definitions:» What are race

More information

Concurrency and Race Conditions (Linux Device Drivers, 3rd Edition (www.makelinux.net/ldd3))

Concurrency and Race Conditions (Linux Device Drivers, 3rd Edition (www.makelinux.net/ldd3)) (Linux Device Drivers, 3rd Edition (www.makelinux.net/ldd3)) Concurrency refers to the situation when the system tries to do more than one thing at once Concurrency-related bugs are some of the easiest

More information

Concurrency, Thread. Dongkun Shin, SKKU

Concurrency, Thread. Dongkun Shin, SKKU Concurrency, Thread 1 Thread Classic view a single point of execution within a program a single PC where instructions are being fetched from and executed), Multi-threaded program Has more than one point

More information

CS 167 Final Exam Solutions

CS 167 Final Exam Solutions CS 167 Final Exam Solutions Spring 2018 Do all questions. 1. [20%] This question concerns a system employing a single (single-core) processor running a Unix-like operating system, in which interrupts are

More information

Solving the Producer Consumer Problem with PThreads

Solving the Producer Consumer Problem with PThreads Solving the Producer Consumer Problem with PThreads Michael Jantz Dr. Prasad Kulkarni Dr. Douglas Niehaus EECS 678 Pthreads: Producer-Consumer 1 Introduction This lab is an extension of last week's lab.

More information

CS-537: Midterm Exam (Spring 2001)

CS-537: Midterm Exam (Spring 2001) CS-537: Midterm Exam (Spring 2001) Please Read All Questions Carefully! There are seven (7) total numbered pages Name: 1 Grading Page Points Total Possible Part I: Short Answers (12 5) 60 Part II: Long

More information

Advanced Threads & Monitor-Style Programming 1/24

Advanced Threads & Monitor-Style Programming 1/24 Advanced Threads & Monitor-Style Programming 1/24 First: Much of What You Know About Threads Is Wrong! // Initially x == 0 and y == 0 // Thread 1 Thread 2 x = 1; if (y == 1 && x == 0) exit(); y = 1; Can

More information

CS 111. Operating Systems Peter Reiher

CS 111. Operating Systems Peter Reiher Operating System Principles: Mutual Exclusion and Asynchronous Completion Operating Systems Peter Reiher Page 1 Outline Mutual Exclusion Asynchronous Completions Page 2 Mutual Exclusion Critical sections

More information

Introducing Shared-Memory Concurrency

Introducing Shared-Memory Concurrency Race Conditions and Atomic Blocks November 19, 2007 Why use concurrency? Communicating between threads Concurrency in Java/C Concurrency Computation where multiple things happen at the same time is inherently

More information

CSE332: Data Abstractions Lecture 19: Mutual Exclusion and Locking

CSE332: Data Abstractions Lecture 19: Mutual Exclusion and Locking CSE332: Data Abstractions Lecture 19: Mutual Exclusion and Locking James Fogarty Winter 2012 Including slides developed in part by Ruth Anderson, James Fogarty, Dan Grossman Banking Example This code is

More information

CS 162 Operating Systems and Systems Programming Professor: Anthony D. Joseph Spring 2002

CS 162 Operating Systems and Systems Programming Professor: Anthony D. Joseph Spring 2002 CS 162 Operating Systems and Systems Programming Professor: Anthony D. Joseph Spring 2002 Lecture 6: Synchronization 6.0 Main points More concurrency examples Synchronization primitives 6.1 A Larger Concurrent

More information

Introduction to OS Synchronization MOS 2.3

Introduction to OS Synchronization MOS 2.3 Introduction to OS Synchronization MOS 2.3 Mahmoud El-Gayyar elgayyar@ci.suez.edu.eg Mahmoud El-Gayyar / Introduction to OS 1 Challenge How can we help processes synchronize with each other? E.g., how

More information

Deadlock CS 241. March 19, University of Illinois

Deadlock CS 241. March 19, University of Illinois Deadlock CS 241 March 19, 2014 University of Illinois Slides adapted in part from material accompanying Bryant & O Hallaron, Computer Systems: A Programmer's Perspective, 2/E 1 The Dining Philosophers

More information

What does IRET do, anyway?... Exam #1 Feb. 27, 2004

What does IRET do, anyway?... Exam #1 Feb. 27, 2004 15-410...What does IRET do, anyway?... Exam #1 Feb. 27, 2004 Dave Eckhardt Bruce Maggs - 1 - L18_Exam1 Synchronization Final Exam list posted You must notify us of conflicts in a timely fashion P3 milestones

More information

PROFESSOR: Last time, we took a look at an explicit control evaluator for Lisp, and that bridged the gap between

PROFESSOR: Last time, we took a look at an explicit control evaluator for Lisp, and that bridged the gap between MITOCW Lecture 10A [MUSIC PLAYING] PROFESSOR: Last time, we took a look at an explicit control evaluator for Lisp, and that bridged the gap between all these high-level languages like Lisp and the query

More information

Chapter 6: Process [& Thread] Synchronization. CSCI [4 6] 730 Operating Systems. Why does cooperation require synchronization?

Chapter 6: Process [& Thread] Synchronization. CSCI [4 6] 730 Operating Systems. Why does cooperation require synchronization? Chapter 6: Process [& Thread] Synchronization CSCI [4 6] 730 Operating Systems Synchronization Part 1 : The Basics Why is synchronization needed? Synchronization Language/Definitions:» What are race conditions?»

More information

Thread Safety. Review. Today o Confinement o Threadsafe datatypes Required reading. Concurrency Wrapper Collections

Thread Safety. Review. Today o Confinement o Threadsafe datatypes Required reading. Concurrency Wrapper Collections Thread Safety Today o Confinement o Threadsafe datatypes Required reading Concurrency Wrapper Collections Optional reading The material in this lecture and the next lecture is inspired by an excellent

More information

Mid-term Roll no: Scheduler Activations: Effective Kernel Support for the User-Level Management of Parallelism

Mid-term Roll no: Scheduler Activations: Effective Kernel Support for the User-Level Management of Parallelism Advanced Operating Systems Spring 2013 Mid-term Roll no: Instructions. The exam consists of 30 multiple choice questions, each worth one mark. You have 2 hours and 30 minutes to solve this. If you think

More information

Cache Coherence and Atomic Operations in Hardware

Cache Coherence and Atomic Operations in Hardware Cache Coherence and Atomic Operations in Hardware Previously, we introduced multi-core parallelism. Today we ll look at 2 things: 1. Cache coherence 2. Instruction support for synchronization. And some

More information

Parallel Programming using OpenMP

Parallel Programming using OpenMP 1 Parallel Programming using OpenMP Mike Bailey mjb@cs.oregonstate.edu openmp.pptx OpenMP Multithreaded Programming 2 OpenMP stands for Open Multi-Processing OpenMP is a multi-vendor (see next page) standard

More information

Parallel Programming using OpenMP

Parallel Programming using OpenMP 1 OpenMP Multithreaded Programming 2 Parallel Programming using OpenMP OpenMP stands for Open Multi-Processing OpenMP is a multi-vendor (see next page) standard to perform shared-memory multithreading

More information

The concept of concurrency is fundamental to all these areas.

The concept of concurrency is fundamental to all these areas. Chapter 5 Concurrency(I) The central themes of OS are all concerned with the management of processes and threads: such as multiprogramming, multiprocessing, and distributed processing. The concept of concurrency

More information

CS 520 Theory and Practice of Software Engineering Fall 2018

CS 520 Theory and Practice of Software Engineering Fall 2018 CS 520 Theory and Practice of Software Engineering Fall 2018 Nediyana Daskalova Monday, 4PM CS 151 Debugging October 30, 2018 Personalized Behavior-Powered Systems for Guiding Self-Experiments Help me

More information

CSE 451: Operating Systems Winter Lecture 7 Synchronization. Hank Levy 412 Sieg Hall

CSE 451: Operating Systems Winter Lecture 7 Synchronization. Hank Levy 412 Sieg Hall CSE 451: Operating Systems Winter 2003 Lecture 7 Synchronization Hank Levy Levy@cs.washington.edu 412 Sieg Hall Synchronization Threads cooperate in multithreaded programs to share resources, access shared

More information

Recap: Thread. What is it? What does it need (thread private)? What for? How to implement? Independent flow of control. Stack

Recap: Thread. What is it? What does it need (thread private)? What for? How to implement? Independent flow of control. Stack What is it? Recap: Thread Independent flow of control What does it need (thread private)? Stack What for? Lightweight programming construct for concurrent activities How to implement? Kernel thread vs.

More information

Distributed systems. Programming with threads

Distributed systems. Programming with threads Distributed systems Programming with threads Reviews on OS concepts Each process occupies a single address space Reviews on OS concepts A thread of (execution) control has its own PC counter, stack pointer

More information

Atomic Transactions in Cilk

Atomic Transactions in Cilk Atomic Transactions in Jim Sukha 12-13-03 Contents 1 Introduction 2 1.1 Determinacy Races in Multi-Threaded Programs......................... 2 1.2 Atomicity through Transactions...................................

More information

Pre-lab #2 tutorial. ECE 254 Operating Systems and Systems Programming. May 24, 2012

Pre-lab #2 tutorial. ECE 254 Operating Systems and Systems Programming. May 24, 2012 Pre-lab #2 tutorial ECE 254 Operating Systems and Systems Programming May 24, 2012 Content Concurrency Concurrent Programming Thread vs. Process POSIX Threads Synchronization and Critical Sections Mutexes

More information

Regression testing. Whenever you find a bug. Why is this a good idea?

Regression testing. Whenever you find a bug. Why is this a good idea? Regression testing Whenever you find a bug Reproduce it (before you fix it!) Store input that elicited that bug Store correct output Put into test suite Then, fix it and verify the fix Why is this a good

More information

CIS Operating Systems Synchronization based on Busy Waiting. Professor Qiang Zeng Spring 2018

CIS Operating Systems Synchronization based on Busy Waiting. Professor Qiang Zeng Spring 2018 CIS 3207 - Operating Systems Synchronization based on Busy Waiting Professor Qiang Zeng Spring 2018 Previous class IPC for passing data Pipe FIFO Message Queue Shared Memory Compare these IPCs for data

More information

CSE332: Data Abstractions Lecture 23: Programming with Locks and Critical Sections. Tyler Robison Summer 2010

CSE332: Data Abstractions Lecture 23: Programming with Locks and Critical Sections. Tyler Robison Summer 2010 CSE332: Data Abstractions Lecture 23: Programming with Locks and Critical Sections Tyler Robison Summer 2010 1 Concurrency: where are we Done: The semantics of locks Locks in Java Using locks for mutual

More information

Threads. Concurrency. What it is. Lecture Notes Week 2. Figure 1: Multi-Threading. Figure 2: Multi-Threading

Threads. Concurrency. What it is. Lecture Notes Week 2. Figure 1: Multi-Threading. Figure 2: Multi-Threading Threads Figure 1: Multi-Threading Figure 2: Multi-Threading Concurrency What it is 1. Two or more threads of control access a shared resource. Scheduler operation must be taken into account fetch-decode-execute-check

More information

Steps for project success. git status. Milestones. Deliverables. Homework 1 submitted Homework 2 will be posted October 26.

Steps for project success. git status. Milestones. Deliverables. Homework 1 submitted Homework 2 will be posted October 26. git status Steps for project success Homework 1 submitted Homework 2 will be posted October 26 due November 16, 9AM Projects underway project status check-in meetings November 9 System-building project

More information

Shared Memory Parallel Programming with Pthreads An overview

Shared Memory Parallel Programming with Pthreads An overview Shared Memory Parallel Programming with Pthreads An overview Part II Ing. Andrea Marongiu (a.marongiu@unibo.it) Includes slides from ECE459: Programming for Performance course at University of Waterloo

More information

CS 3305 Intro to Threads. Lecture 6

CS 3305 Intro to Threads. Lecture 6 CS 3305 Intro to Threads Lecture 6 Introduction Multiple applications run concurrently! This means that there are multiple processes running on a computer Introduction Applications often need to perform

More information

Final Examination CS 111, Fall 2016 UCLA. Name:

Final Examination CS 111, Fall 2016 UCLA. Name: Final Examination CS 111, Fall 2016 UCLA Name: This is an open book, open note test. You may use electronic devices to take the test, but may not access the network during the test. You have three hours

More information

Systems Programming/ C and UNIX

Systems Programming/ C and UNIX Systems Programming/ C and UNIX Alice E. Fischer November 22, 2013 Alice E. Fischer () Systems Programming Lecture 12... 1/27 November 22, 2013 1 / 27 Outline 1 Jobs and Job Control 2 Shared Memory Concepts

More information

Midterm on next week Tuesday May 4. CS 361 Concurrent programming Drexel University Fall 2004 Lecture 9

Midterm on next week Tuesday May 4. CS 361 Concurrent programming Drexel University Fall 2004 Lecture 9 CS 361 Concurrent programming Drexel University Fall 2004 Lecture 9 Bruce Char and Vera Zaychik. All rights reserved by the author. Permission is given to students enrolled in CS361 Fall 2004 to reproduce

More information

CS444 1/28/05. Lab 03

CS444 1/28/05. Lab 03 CS444 1/28/05 Lab 03 Note All the code that is found in this lab guide can be found at the following web address: www.clarkson.edu/class/cs444/cs444.sp2005/labs/lab03/code/ Threading A thread is an independent

More information

3/7/18. Secure Coding. CYSE 411/AIT681 Secure Software Engineering. Race Conditions. Concurrency

3/7/18. Secure Coding. CYSE 411/AIT681 Secure Software Engineering. Race Conditions. Concurrency Secure Coding CYSE 411/AIT681 Secure Software Engineering Topic #13. Secure Coding: Race Conditions Instructor: Dr. Kun Sun String management Pointer Subterfuge Dynamic memory management Integer security

More information

CMSC421: Principles of Operating Systems

CMSC421: Principles of Operating Systems CMSC421: Principles of Operating Systems Nilanjan Banerjee Assistant Professor, University of Maryland Baltimore County nilanb@umbc.edu http://www.csee.umbc.edu/~nilanb/teaching/421/ Principles of Operating

More information

POSIX Threads: a first step toward parallel programming. George Bosilca

POSIX Threads: a first step toward parallel programming. George Bosilca POSIX Threads: a first step toward parallel programming George Bosilca bosilca@icl.utk.edu Process vs. Thread A process is a collection of virtual memory space, code, data, and system resources. A thread

More information

Java Threads and intrinsic locks

Java Threads and intrinsic locks Java Threads and intrinsic locks 1. Java and OOP background fundamentals 1.1. Objects, methods and data One significant advantage of OOP (object oriented programming) is data encapsulation. Each object

More information

Introduction to Embedded Systems

Introduction to Embedded Systems Introduction to Embedded Systems Edward A. Lee & Sanjit Seshia UC Berkeley EECS 124 Spring 2008 Copyright 2008, Edward A. Lee & Sanjit Seshia, All rights reserved Lecture 17: Concurrency 2: Threads Definition

More information

Overview. CMSC 330: Organization of Programming Languages. Concurrency. Multiprocessors. Processes vs. Threads. Computation Abstractions

Overview. CMSC 330: Organization of Programming Languages. Concurrency. Multiprocessors. Processes vs. Threads. Computation Abstractions CMSC 330: Organization of Programming Languages Multithreaded Programming Patterns in Java CMSC 330 2 Multiprocessors Description Multiple processing units (multiprocessor) From single microprocessor to

More information

Lecture Notes on Memory Layout

Lecture Notes on Memory Layout Lecture Notes on Memory Layout 15-122: Principles of Imperative Computation Frank Pfenning André Platzer Lecture 11 1 Introduction In order to understand how programs work, we can consider the functions,

More information

CS 333 Introduction to Operating Systems. Class 3 Threads & Concurrency. Jonathan Walpole Computer Science Portland State University

CS 333 Introduction to Operating Systems. Class 3 Threads & Concurrency. Jonathan Walpole Computer Science Portland State University CS 333 Introduction to Operating Systems Class 3 Threads & Concurrency Jonathan Walpole Computer Science Portland State University 1 The Process Concept 2 The Process Concept Process a program in execution

More information

Chapter 6 - Deadlocks

Chapter 6 - Deadlocks Chapter 6 - Deadlocks Luis Tarrataca luis.tarrataca@gmail.com CEFET-RJ L. Tarrataca Chapter 6 - Deadlocks 1 / 100 1 Motivation 2 Resources Preemptable and Nonpreemptable Resources Resource Acquisition

More information

Multithreading Programming II

Multithreading Programming II Multithreading Programming II Content Review Multithreading programming Race conditions Semaphores Thread safety Deadlock Review: Resource Sharing Access to shared resources need to be controlled to ensure

More information

Background. The Critical-Section Problem Synchronisation Hardware Inefficient Spinning Semaphores Semaphore Examples Scheduling.

Background. The Critical-Section Problem Synchronisation Hardware Inefficient Spinning Semaphores Semaphore Examples Scheduling. Background The Critical-Section Problem Background Race Conditions Solution Criteria to Critical-Section Problem Peterson s (Software) Solution Concurrent access to shared data may result in data inconsistency

More information