On Synchronizing Readers and Writers with Semaphores

Total Page:16

File Type:pdf, Size:1020Kb

On Synchronizing Readers and Writers with Semaphores On Synchronizing Readers and Writers with Semaphores J. L. Keedy and J. Rosenberg Department of Computer Science, Monash University, Clayton, Victoria, 3168, Australia. K. Ramamohanarao Department of Computer Science, University of Melbourne, Parkville, Victoria, 3052, Australia A weakness in the reader priority solution proposed by Curtois, Heymans and Paraas for the problem of synchronizing Downloaded from https://academic.oup.com/comjnl/article/25/1/121/527286 by guest on 29 September 2021 concurrent readers and writers is described and an improvement is explained. The difficulties of solving complex synchronizing problems by using standard semaphore primitives, as illustrated by this example, lead us to propose that special-purpose synchronization techniques should be supported by a judicious combination of hardware/microcode and software routines. We then describe an efficient solution for the reader/writer problem which is easy to understand, to implement and to use. integer readcount; (initial value = 0) INTRODUCTION semaphore mutex, w; (initial value for both = 1) READER WRITER A common synchronization problem occurs when a P (mutex); resource can be used in two modes, sharably by any readcount '= readcount + 1; number of 'readers' or exclusively by one 'writer' at a if readcount = 1 then P(iv); time. Curtois, Heymans and Parnas proposed two V'(mutex); solutions to the problem,1 one based on reader priority, the other on writer priority. In the first case no reader reading is performed writing is performed should be kept waiting unless a writer has already obtained permission to use the resource. In the second V(mutex); case, once a writer is ready to write he is given permission readcount = readcount — 1; to do so as soon as possible. Both solutions use P and V if readcount = 0 then V(w); operations on semaphores as the primitive synchroniza- V (mutex); 2 tion mechanism. Figure 1. Although the problem, in both its forms, is easy to understand, the proposed solutions are by no means minimum delay for readers (Fig. 1). Inspection of the straightforward. In fact Curtois et al. made special solution shows that when a writer is in its writing region mention of the effort involved in reaching their solutions the queue associated with w will contain zero or more and of the unreasonable complexity of earlier versions of writers and zero or one reader, so that when the writer their solutions. We attest to similar experiences in our releases w it is arbitrary whether another writer or a own investigations of the problem, which included a reader will be awakened. (Curtois et a/.'s discussion of reformulation of the reader priority solution in an attempt the writer priority case makes clear that no assumptions to remove an apparent weakness in the original version. about priority are built into the V operation). That the w We shall explain this weakness and present our alterna- queue can hold more writers than readers suggests that in tive solution as an illustration of the nature of some of the many cases a writer process might be selected in difficulties involved in this approach to the solution of preference to a reader. In other words the solution does synchronization problems and then propose an alterna- not guarantee that readers will experience minimum tive technique which removes most of the difficulties. delay. AN EXAMINATION OF THE READER A revised reader priority solution PRIORITY SOLUTION Our solution, shown in Fig. 2 introduces an additional In this section we draw attention to a weakness in the binary semaphore extra which is claimed and released reader priority solution proposed by Curtois et al. and 1 only by writers. While a writer is in its writing region all suggest an improvement, thereby demonstrating some other writers are queued on extra, not on w. Thus when of the inadequacies of solving the problem using normal w is released the waiting reader, if any, will be awakened, semaphores. thereby removing the weakness in the original solution. As far as we can tell the solution appears to be correct A weakness in the reader priority solution (in some loose sense), but we have several reservations regarding both it and similar approaches to solving The aim of the.reader priority solution is to ensure complex synchronization problems. CCC-00KM620/02/0O25-O121 $02.50 © Heyden & Son Ltd, 1982 THE COMPUTER JOURNAL, VOL. 25, NO. 1,1982 121 J. L. KEEDY, J. ROSENBERG AND K. RAMAMOHANARAO integer readcount; (initial value = 0) p-insXr (sent, condition); semaphore mulex, w, extra; (initial value of each = 1) it condition = 'sem < 0' then suspend (semqueue). READER WRITER The P macro P (mutex); readcount '= readcount + 1; P (extra); v-instr (sem, condition) if readcount = 1 then P(w); P (w); if condition = 'sem <; 0' then activate (semqueue). V (mutex); The V macro p-instr and u-instr are indivisible hardware/microcoded instructions; reading is performed writing is performed suspend and activate are indivisible queuing routines in the process scheduler. The testing of condition values in both cases assumes that P (mutex); the decrement/increment occurs before the value of sem is tested. readcount '= readcount — 1; if readcount = 0 then V(M>) ; V (extra); V (mutex); Figure 3. P and V macros based on hardware/microcoded operations. Figure 2. An improved reader priority solution. vate; suspend). The practicality of implementing such a (1) The problems are usually easy to state and simple to mechanism has been demonstrated in the ICL2900 Series Downloaded from https://academic.oup.com/comjnl/article/25/1/121/527286 by guest on 29 September 2021 understand; the solutions are usually complex and it and in other recent systems.9 is not easy to understand them nor to gain confidence Our basic solution for the readers/writers problem can in their correctness. be regarded as an extension of this technique. We (2) It is easy to waste much time and effort in solving propose that indivisible hardware/microcoded instruc- apparently trivial problems, and it is easy to make tions are provided to establish a claim for reading, read- mistakes. p, and for writing, write-p, and to release from reading, (3) The solutions are at best approximations. Consider, read-v, and from writing, write-v. In addition we extend for example, what is meant by a phrase such as 'a the indivisible 'activate' and 'suspend' primitives to reader is ready to read'. Our commonsense tells us support this case. In the following subsections we shall that it refers to the point at which the reader begins describe the proposed new primitives in detail, showing the reader entry protocol, i.e. when it executes the P that they can be efficiently implemented. We shall then (mutex) operation. But then if a writer exits his attempt to justify why this appears preferable to previous writing region after the reader has executed the P approaches. (mutex), but before he has reached the P(w) operation, it is possible that another writer may reach the P(w) operation first and thus gain access to his writing The microcoded instructions region although a reader 'was ready to read'. Similar problems with the writer priority solution have been The structure of a 'readers/writers semaphore', a type of discussed in the literature. A common approach has variable on which read-p, read-v, write-p. and write-v been to redefine operations on semaphores, making instructions operate, is shown in Fig. 4. The boolean them more powerful.3"7 Despite claims to the contrary it is not always easy to arrive at nor to understand solutions using extended semaphore primitives intended for general purpose use. Nor is it Current Waiting Waiting Current always easy to implement the proposed extensions on Readers Readers Writers Writer real computers. In the following section we propose an alternative and more practical approach. Figure 4. Structure of a readers/writers semaphore. field current-writer indicates whether any writer is in its READER/WRITER SEMAPHORE PRIMITIVES writing region; the remaining integer fields count the number of processes waiting to read, currently reading The basic solution and/or waiting to write. The initial values of these fields are false and zero, as appropriate. Elsewhere, in connection with a different synchronization The indivisible hardware or microcoded operations on problem, we have described how P and V operations on these variables are outlined in a Pascal-like notation in semaphores can be efficiently implemented as two-part Fig. 5. Each procedure sets a local condition code operations: an indivisible hardware or microcode instruc- indicating whether a subsequent call must be made on tion (which decrements or increments a semaphore the queuing procedures (if true) or not (if false) in order variable and sets a condition code showing the result of to complete the required protocol. the operation) and an indivisible operation to suspend or It is the microcoded operations which determine when activate a process (which is typically a software routine 8 processes must be suspended and activated, and in implemented as part of the process scheduler). These consequence they determine the priority rules. Figure 5 operations are combined as shown in Fig. 3 to form actually describes the writer priority situation, but it is macro instructions which implement the P and V easily modified to reflect reader priority: read-v and write- operations. Notice that the suspend/activate operations P remain unchanged; in read-p the conditional expression must be commutative in the sense that each activate is reduced to if not current-writer then ...; the order of the wakes up exactly one process and that the sequence tests in write-v is changed so that waiting readers are (suspend; activate) has the same nett effect as <acti- given priority over waiting writers.
Recommended publications
  • An Introduction to Linux IPC
    An introduction to Linux IPC Michael Kerrisk © 2013 linux.conf.au 2013 http://man7.org/ Canberra, Australia [email protected] 2013-01-30 http://lwn.net/ [email protected] man7 .org 1 Goal ● Limited time! ● Get a flavor of main IPC methods man7 .org 2 Me ● Programming on UNIX & Linux since 1987 ● Linux man-pages maintainer ● http://www.kernel.org/doc/man-pages/ ● Kernel + glibc API ● Author of: Further info: http://man7.org/tlpi/ man7 .org 3 You ● Can read a bit of C ● Have a passing familiarity with common syscalls ● fork(), open(), read(), write() man7 .org 4 There’s a lot of IPC ● Pipes ● Shared memory mappings ● FIFOs ● File vs Anonymous ● Cross-memory attach ● Pseudoterminals ● proc_vm_readv() / proc_vm_writev() ● Sockets ● Signals ● Stream vs Datagram (vs Seq. packet) ● Standard, Realtime ● UNIX vs Internet domain ● Eventfd ● POSIX message queues ● Futexes ● POSIX shared memory ● Record locks ● ● POSIX semaphores File locks ● ● Named, Unnamed Mutexes ● System V message queues ● Condition variables ● System V shared memory ● Barriers ● ● System V semaphores Read-write locks man7 .org 5 It helps to classify ● Pipes ● Shared memory mappings ● FIFOs ● File vs Anonymous ● Cross-memory attach ● Pseudoterminals ● proc_vm_readv() / proc_vm_writev() ● Sockets ● Signals ● Stream vs Datagram (vs Seq. packet) ● Standard, Realtime ● UNIX vs Internet domain ● Eventfd ● POSIX message queues ● Futexes ● POSIX shared memory ● Record locks ● ● POSIX semaphores File locks ● ● Named, Unnamed Mutexes ● System V message queues ● Condition variables ● System V shared memory ● Barriers ● ● System V semaphores Read-write locks man7 .org 6 It helps to classify ● Pipes ● Shared memory mappings ● FIFOs ● File vs Anonymous ● Cross-memoryn attach ● Pseudoterminals tio a ● proc_vm_readv() / proc_vm_writev() ● Sockets ic n ● Signals ● Stream vs Datagram (vs uSeq.
    [Show full text]
  • Multithreading Design Patterns and Thread-Safe Data Structures
    Lecture 12: Multithreading Design Patterns and Thread-Safe Data Structures Principles of Computer Systems Autumn 2019 Stanford University Computer Science Department Lecturer: Chris Gregg Philip Levis PDF of this presentation 1 Review from Last Week We now have three distinct ways to coordinate between threads: mutex: mutual exclusion (lock), used to enforce critical sections and atomicity condition_variable: way for threads to coordinate and signal when a variable has changed (integrates a lock for the variable) semaphore: a generalization of a lock, where there can be n threads operating in parallel (a lock is a semaphore with n=1) 2 Mutual Exclusion (mutex) A mutex is a simple lock that is shared between threads, used to protect critical regions of code or shared data structures. mutex m; mutex.lock() mutex.unlock() A mutex is often called a lock: the terms are mostly interchangeable When a thread attempts to lock a mutex: Currently unlocked: the thread takes the lock, and continues executing Currently locked: the thread blocks until the lock is released by the current lock- holder, at which point it attempts to take the lock again (and could compete with other waiting threads). Only the current lock-holder is allowed to unlock a mutex Deadlock can occur when threads form a circular wait on mutexes (e.g. dining philosophers) Places we've seen an operating system use mutexes for us: All file system operation (what if two programs try to write at the same time? create the same file?) Process table (what if two programs call fork() at the same time?) 3 lock_guard<mutex> The lock_guard<mutex> is very simple: it obtains the lock in its constructor, and releases the lock in its destructor.
    [Show full text]
  • Semaphores Semaphores (Basic) Semaphore General Vs. Binary
    Concurrent Programming (RIO) 20.1.2012 Lesson 6 Synchronization with HW support • Disable interrupts – Good for short time wait, not good for long time wait – Not good for multiprocessors Semaphores • Interrupts are disabled only in the processor used • Test-and-set instruction (etc) Ch 6 [BenA 06] – Good for short time wait, not good for long time wait – Nor so good in single processor system • May reserve CPU, which is needed by the process holding the lock – Waiting is usually “busy wait” in a loop Semaphores • Good for mutex, not so good for general synchronization – E.g., “wait until process P34 has reached point X” Producer-Consumer Problem – No support for long time wait (in suspended state) Semaphores in C--, Java, • Barrier wait in HW in some multicore architectures – Stop execution until all cores reached barrier_waitinstruction Linux, Minix – No busy wait, because execution pipeline just stops – Not to be confused with barrier_wait thread operation 20.1.2012 Copyright Teemu Kerola 2012 1 20.1.2012 Copyright Teemu Kerola 2012 2 Semaphores (Basic) Semaphore semaphore S public create initial value integer value semafori public P(S) S.value private S.V Edsger W. Dijkstra V(S) http://en.wikipedia.org/wiki/THE_operating_system public private S.list S.L • Dijkstra, 1965, THE operating system queue of waiting processes • Protected variable, abstract data type (object) • P(S) WAIT(S), Down(S) – Allows for concurrency solutions if used properly – If value > 0, deduct 1 and proceed • Atomic operations – o/w, wait suspended in list (queue?) until released – Create (SemaName, InitValue) – P, down, wait, take, pend, • V(S) SIGNAL(S), Up(S) passeren, proberen, try, prolaad, try to decrease – If someone in queue, release one (first?) of them – V, up, signal, release, post, – o/w, increase value by one vrijgeven, verlagen, verhoog, increase 20.1.2012 Copyright Teemu Kerola 2012 3 20.1.2012 Copyright Teemu Kerola 2012 4 General vs.
    [Show full text]
  • CSC 553 Operating Systems Multiple Processes
    CSC 553 Operating Systems Lecture 4 - Concurrency: Mutual Exclusion and Synchronization Multiple Processes • Operating System design is concerned with the management of processes and threads: • Multiprogramming • Multiprocessing • Distributed Processing Concurrency Arises in Three Different Contexts: • Multiple Applications – invented to allow processing time to be shared among active applications • Structured Applications – extension of modular design and structured programming • Operating System Structure – OS themselves implemented as a set of processes or threads Key Terms Related to Concurrency Principles of Concurrency • Interleaving and overlapping • can be viewed as examples of concurrent processing • both present the same problems • Uniprocessor – the relative speed of execution of processes cannot be predicted • depends on activities of other processes • the way the OS handles interrupts • scheduling policies of the OS Difficulties of Concurrency • Sharing of global resources • Difficult for the OS to manage the allocation of resources optimally • Difficult to locate programming errors as results are not deterministic and reproducible Race Condition • Occurs when multiple processes or threads read and write data items • The final result depends on the order of execution – the “loser” of the race is the process that updates last and will determine the final value of the variable Operating System Concerns • Design and management issues raised by the existence of concurrency: • The OS must: – be able to keep track of various processes
    [Show full text]
  • Lesson-9: P and V SEMAPHORES
    Inter-Process Communication and Synchronization of Processes, Threads and Tasks: Lesson-9: P and V SEMAPHORES Chapter-9 L9: "Embedded Systems - Architecture, Programming and Design", 2015 Raj Kamal, Publs.: McGraw-Hill Education 1 1. P and V SEMAPHORES Chapter-9 L9: "Embedded Systems - Architecture, Programming and Design", 2015 Raj Kamal, Publs.: McGraw-Hill Education 2 P and V semaphores • An efficient synchronisation mechanism • POSIX 1003.1.b, an IEEE standard. • POSIX─ for portable OS interfaces in Unix. • P and V semaphore ─ represents an integer in place of binary or unsigned integers Chapter-9 L9: "Embedded Systems - Architecture, Programming and Design", 2015 Raj Kamal, Publs.: McGraw-Hill Education 3 P and V semaphore Variables • The semaphore, apart from initialization, is accessed only through two standard atomic operations─ P and V • P (for wait operation)─ derived from a Dutch word ‘Proberen’, which means 'to test'. • V (for signal passing operation)─ derived from the word 'Verhogen' which means 'to increment'. Chapter-9 L9: "Embedded Systems - Architecture, Programming and Design", 2015 Raj Kamal, Publs.: McGraw-Hill Education 4 P and V Functions for Semaphore P semaphore function signals that the task requires a resource and if not available waits for it. V semaphore function signals which the task passes to the OS that the resource is now free for the other users. Chapter-9 L9: "Embedded Systems - Architecture, Programming and Design", 2015 Raj Kamal, Publs.: McGraw-Hill Education 5 P Function─ P (&Sem1) 1. /* Decrease the semaphore variable*/ sem_1 = sem_1 1; 2. /* If sem_1 is less than 0, send a message to OS by calling a function waitCallToOS.
    [Show full text]
  • Shared Memory Programming: Threads, Semaphores, and Monitors
    Shared Memory Programming: Threads, Semaphores, and Monitors CPS343 Parallel and High Performance Computing Spring 2020 CPS343 (Parallel and HPC) Shared Memory Programming: Threads, Semaphores, and MonitorsSpring 2020 1 / 47 Outline 1 Processes The Notion and Importance of Processes Process Creation and Termination Inter-process Communication and Coordination 2 Threads Need for Light Weight Processes Differences between Threads and Processes Implementing Threads 3 Mutual Exclusion and Semaphores Critical Sections Monitors CPS343 (Parallel and HPC) Shared Memory Programming: Threads, Semaphores, and MonitorsSpring 2020 2 / 47 Outline 1 Processes The Notion and Importance of Processes Process Creation and Termination Inter-process Communication and Coordination 2 Threads Need for Light Weight Processes Differences between Threads and Processes Implementing Threads 3 Mutual Exclusion and Semaphores Critical Sections Monitors CPS343 (Parallel and HPC) Shared Memory Programming: Threads, Semaphores, and MonitorsSpring 2020 3 / 47 What is a process? A process is a program in execution. At any given time, the status of a process includes: The code that it is executing (e.g. its text). Its data: The values of its static variables. The contents of its stack { which contains its local variables and procedure call/return history. The contents of the various CPU registers { particularly the program counter, which indicates what instruction the process is to execute next. Its state { is it currently able to continue execution, or must further execution wait until some event occurs (e.g. the completion of an IO operation it has requested)? CPS343 (Parallel and HPC) Shared Memory Programming: Threads, Semaphores, and MonitorsSpring 2020 4 / 47 What is a process? The chief task of an operating system is to manage a set of processes.
    [Show full text]
  • Software Transactional Memory with Interactions 3
    Software Transactional Memory with Interactions⋆ Extended Version Marino Miculan1 and Marco Peressotti2 1 University of Udine [email protected] 2 University of Southern Denmark [email protected] Abstract Software Transactional memory (STM) is an emerging ab- straction for concurrent programming alternative to lock-based synchron- izations. Most STM models admit only isolated transactions, which are not adequate in multithreaded programming where transactions need to interact via shared data before committing. To overcome this limitation, in this paper we present Open Transactional Memory (OTM), a pro- gramming abstraction supporting safe, data-driven interactions between composable memory transactions. This is achieved by relaxing isolation between transactions, still ensuring atomicity. This model allows for loosely-coupled interactions since transaction merging is driven only by accesses to shared data, with no need to specify participants beforehand. 1 Introduction Modern multicore architectures have emphasized the importance of abstractions supporting correct and scalable multi-threaded programming. In this model, threads can collaborate by interacting on shared data structures, such as tables, message queues, buffers, etc., whose access must be regulated to avoid inconsist- encies. Traditional lock-based mechanisms (like semaphores and monitors) are notoriously difficult and error-prone, as they easily lead to deadlocks, race con- ditions and priority inversions; moreover, they are not composable and hinder parallelism, thus reducing efficiency and scalability. Transactional memory (TM) has emerged as a promising abstraction to replace locks [5, 20]. The basic idea is to mark blocks of code as atomic; then, execution of each block will appear either as if it was executed sequentially and instantaneously at some unique point in time, or, if aborted, as if it did not execute at all.
    [Show full text]
  • Semaphores Cosc 450: Programming Paradigms 06
    CoSc 450: Programming Paradigms 06 Semaphores CoSc 450: Programming Paradigms 06 Semaphore Purpose: To prevent inefficient spin lock of the await statement. Idea: Instead of spinning, the process calls a method that puts it in a special queue of PCBs, the “blocked on semaphore” queue. 71447_CH08_Chapter08.qxd 1/28/09 12:27 AM Page 422 422 Chapter 8 Process Management The PCB contains additional information to help the operating system schedule the CPU. An example is a unique process identification number assigned by the system, labeled Process ID in Figure 8.18, that serves to reference the process. Sup- pose a user wants to terminate a process before it completes execution normally, and he knows the ID number is 782. He could issue a KILL(782) command that would cause the operating system to search through the queue of PCBs, find the PCB with ID 782, remove it from the queue, and deallocate it. Another example of information stored in the PCB is a record of the total amount of CPU time used so far by the suspended process. If the CPU becomes available and the operating system must decide which of several suspended processes gets the CPU, it can use the recorded time to make a fairFigure decision. 8.19 As a job progresses through the system toward completion, it passes through several states, as Figure 8.19 shows. The figure is in the form of a state transition diagram and is another example of a finite state machine. Each transition is labeled with the event that causes the change of state.
    [Show full text]
  • Low Contention Semaphores and Ready Lists
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Purdue E-Pubs Purdue University Purdue e-Pubs Department of Computer Science Technical Reports Department of Computer Science 1980 Low Contention Semaphores and Ready Lists Peter J. Denning T. Don Dennis Jeffrey Brumfield Report Number: 80-332 Denning, Peter J.; Dennis, T. Don; and Brumfield, Jeffrey, "Low Contention Semaphores and Ready Lists" (1980). Department of Computer Science Technical Reports. Paper 261. https://docs.lib.purdue.edu/cstech/261 This document has been made available through Purdue e-Pubs, a service of the Purdue University Libraries. Please contact [email protected] for additional information. LOW CONTENTION SEMAPHORES AND READY LISTS Peter J. Denning T. Don Dennis Jeffrey Brumfield Computer Sciences Department Purdue University W. Lafayette, IN 47907 CSD-TR-332 February 1980 Revised June 1980 Abstract. A method for reducing sema­ phore and ready list contention in mul­ tiprocessor operating systems is described. Its correctness is esta­ blished. Its performance is compared with conventional implementations. A method of implementing the ready list with a ring network is proposed and evaluated. This work was supported in part by NSF Grant MCS78­ 01729 at Purdue University. June 18, 1980 - 2 - THE PROBLEM Modern operating systems implement semaphores for synchron- izing multiple concurrent processes. Unless the primitive opera- tions for starting, stopping, and scheduling processes and for manipulating semaphores are well supported by the hardware, con- text switching and interprocess signaling can be major overheads [1]. To avoid these overheads, many operating systems use fast, but unreliable ad hoc methods for synchronizing processes.
    [Show full text]
  • Semaphores (Dijkstra 1965)
    Semaphores (Dijkstra 1965) n Semaphores have a non-negative integer value, and support two operations: n semaphore->P(): an atomic operation that waits for semaphore Semaphores & Monitors to become positive, then decrements it by 1 n semaphore->V(): an atomic operation that increments semaphore by 1, waking up a waiting P, if any. n Semaphores are like integers except: Arvind Krishnamurthy (1) non-negative values; Spring 2004 (2) only allow P&V --- can’t read/write value except to set it initially; (3) operations must be atomic: -- two P’s that occur together can’t decrement the value below zero. -- thread going to sleep in P won’t miss wakeup from V, even if they both happen at about the same time. Implementing semaphores Using interrupts P means “test” (proberen in Dutch) V means “increment” (verhogen in Dutch) class Semaphore { int value = 0; } n Binary semaphores: Semaphore::P() { n Like a lock; can only have value 0 or 1 (unlike the previous Disable interrupts; Semaphore::V() { “counting semaphore” which can be any non-negative integers) while (value == 0) { Disable interrupts; Enable interrupts; value++; Disable interrupts; Enable interrupts; } } n How to implement semaphores? Standard tricks: value = value - 1; Enable interrupts; n Can be built using interrupts disable/enable } n Or using test-and-set n Use a queue to prevent unnecessary busy-waiting n Question: Can we build semaphores using just locks? Using test&set How to use semaphores n Binary semaphores can be used for mutual exclusion: class Semaphore { int value = 0; initial value of 1; P() is called before the critical section; and V() is called after the int guard = 0; } critical section.
    [Show full text]
  • Synchronization
    Synchronization CS 4410 Operating Systems [R. Agarwal, L. Alvisi, A. Bracy, M. George, E. Sirer, R. Van Renesse] • Foundations • Semaphores • Monitors & Condition Variables 2 Semaphores • Definition • Binary Semaphores • Counting Semaphores • Classic Sync. Problems (w/Semaphores) - Producer-Consumer (w/ a bounded buffer) - Readers/Writers Problem • Classic Mistakes with Semaphores 3 What is a Semaphore? [Dijkstra 1962] Dijkstra introduced in the THE Operating System Stateful: • a value (incremented/decremented atomically) • a queue • a lock Interface: • Init(starting value) • P (procure): decrement, “consume” or “start using” • V (vacate): increment, “produce” or “stop using” No operation to read the value! Dutch 4410: P = Probeer (‘Try'), V = Verhoog ('Increment', 'Increase by one') 4 Semantics of P and V P(): P() { • wait until value >0 while(n <= 0) ; • when so, decrement n -= 1; value by 1 } V(): V() { • increment value by 1 n += 1; } These are the semantics, but how can we make this efficient? (doesn’t this look like a spinlock?!?) 5 Implementation of P and V P(): P() { • block (sit on Q) til n > 0 while(n <= 0) • when so, decrement value by 1 ; n -= 1; V(): } • increment value by 1 • resume a thread waiting on Q V() { (if any) n += 1; } Okay this looks efficient, but how is this safe? 6 Implementation of P and V P() { P(): acquire(&guard); • block (sit on Q) til n > 0 while(n <= 0) { waiting.enq(self); • when so, decrement value by 1 release(&guard); sleep(); acquire(&guard); V(): } • increment value by 1 n -= 1; release(&guard);
    [Show full text]
  • Parallel Programming Models III (Pdf)
    Shared Memory Programming Models III Stefan Lang Interdisciplinary Center for Scientific Computing (IWR) University of Heidelberg INF 368, Room 532 D-69120 Heidelberg phone: 06221/54-8264 email: [email protected] WS 15/16 Stefan Lang (IWR) Simulation on High-Performance Computers WS15/16 1/36 Shared Memory Programming Models III Communication by shared memory Semaphore rep. Reader-Writer problem PThreads Active Objects Stefan Lang (IWR) Simulation on High-Performance Computers WS15/16 2/36 Semaphore A semaphore is an abstraction of a synchronisation variable, that enables the elegant solution of multiple of synchronisation problems Up-to-now all programs have used active waiting. This is very inefficient under quasi-parallel processing of multiple processes on one processor (multitasking). The semaphore enables to switch processes into an idle state. We understand a semaphore as abstract data type: Data structure with operations, that fulfill particular properties: A semaphore S has a non-negative integer value value(S), that is assigned during creation of the Semaphore with the value init. For a semaphore S two operations P(S) and V(S) are defined with: P(S) decrements the value of S by one if value(S) > 0, otherwise the process blocks as long as another process executes a Voperation on S. V(S) frees another process from a Poperation if one is waiting (are several waiting one is selected), otherwise the value of S is incremented by one. Voperations never block! Stefan Lang (IWR) Simulation on High-Performance Computers WS15/16 3/36 Readers/Writers Problem ReadersLeser WritersSchreiber DatabaseDatenbank Two classes of processes, readers and writers, access a common database.
    [Show full text]