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Java theory and practice: Fixing the Java Memory Model, part 1 - An article describing problems with the original Java memory model. Java theory and practice: Fixing the Java Memory Model, part 2 - Explains the changes JSR 133 made to the Java memory model. Java Memory Model Pragmatics (transcript) The Java Memory Model links; Java internal ...
In computer science, the happened-before relation (denoted: ) is a relation between the result of two events, such that if one event should happen before another event, the result must reflect that, even if those events are in reality executed out of order (usually to optimize program flow).
The memory model specifies synchronization barriers that are established via special, well-defined synchronization operations such as acquiring a lock by entering a synchronized block or method. The memory model stipulates that changes to the values of shared variables only need to be made visible to other threads when such a synchronization ...
(In Java 5 or later) Volatile reads and writes establish a happens-before relationship, much like acquiring and releasing a mutex. [16] This relationship is simply a guarantee that memory writes by one specific statement are visible to another specific statement. A volatile fields are linearizable.
Memory model (programming) describes how threads interact through memory Java memory model; Consistency model; Memory model (addressing scheme), an addressing scheme for computer memory address space Flat memory model; Paged memory model; Segmented memory; One of the x86 memory models
The original form of the pattern, appearing in Pattern Languages of Program Design 3, [2] has data races, depending on the memory model in use, and it is hard to get right. Some consider it to be an anti-pattern. [3] There are valid forms of the pattern, including the use of the volatile keyword in Java and explicit memory barriers in C++. [4]
Object pooling requires resources – memory and possibly other resources, such as network sockets, and thus it is preferable that the number of instances in use at any one time is low, but this is not required. The pooled object is obtained in predictable time when creation of the new objects (especially over network) may take variable time.
A shared memory system is relatively easy to program since all processors share a single view of data and the communication between processors can be as fast as memory accesses to the same location. The issue with shared memory systems is that many CPUs need fast access to memory and will likely cache memory, which has two complications: