= true; //Statement 4
From the code order, the above four statements should be executed sequentially, but in fact the JVM actually executes this code without guaranteeing that they will be executed exactly in this order.In order to improve the overall execution efficiency of the program, it is possible to optimize the code by adjusting the code order and executing the code in a more efficient order.In this case, someone is going to have to worry--what, the CPU doesn't execute code i
is the 1,volatile keyword guaranteed to be thread safe? ()Answer: NoThe volatile keyword is used in multi-threaded synchronization to guarantee read visibility, and the JVM simply guarantees that the value that is loaded from main memory to the working memory of the thread is the most recent read value, not the cache. However, multiple threads write to volatile, which is not guaranteed to be thread safe.If thread 1, thread 2 in the read,load operation
between multiprocessor is high or the memory address of the instruction access is not aligned. Disables this instruction from reordering read and write instructions before and after. Flushes all data in the write buffer to memory.
Note knowledge:
There are 3 types of locks on CPUs:
3.1 Processor automatically guarantees the atomicity of basic memory operations
First, the processor automatically guarantees the atomic nature of the basic memory operation. The processor guarantees that reading or
reading or writing a byte from the system memory is atomic, meaning that when a processor reads a byte, the other processor cannot access the byte's memory address. Pentium 6 and the latest processors can automatically guarantee that a single processor is atomic to the 16/32/64 bit in the same cache line, but a complex memory processor does not automatically guarantee its atomicity, such as cross bus width
in order, then it is possible to print 0 instead of 42. (because the initial value of number is 0).Therefore, reordering is a possible cause of thread safety problems.
If a variable is declared volatile, then the variable is not reordered, that is, the virtual opportunity guarantees that the code before the variable will be executed before it, and then the code will be slower than it executes.For example, if the number above is declared volatile, then number = 421 will be executed first rather
, but in fact the JVM actually executes this code without guaranteeing that they will be executed exactly in this order.In order to improve the overall execution efficiency of the program, it is possible to optimize the code by adjusting the code order and executing the code in a more efficient order.In this case, someone is going to have to worry--what, the CPU doesn't execute code in my Code order, how do we make sure we get the results we want? In fact, you can rest assured that the CPU is no
thrown. If the function is successful, it is completely successful. Otherwise, the program will return to the status before the function is called.
Do not throw (nothrow) guarantee: Promise never throw an exception because they can always complete the functions they previously promised. All operations acting on built-in types (such as ints and pointers) provide the nothrow guarantee. The function with "Bl
before writing the volatile variable).Thread A writes a volatile variable, and then thread B reads the volatile variable, which essentially is thread a sending a message to thread B through main memory.
Does 5.volatile guarantee atomic sex?
Knowing from above that the volatile keyword guarantees the visibility of the operation, but does volatile guarantee that the operation of the variable is atomic?
Le
Java Multithreading-----------------volatile memory semantics The volatile keyword is the most lightweight synchronization mechanism provided by a Java virtual machine. Because the volatile keyword is related to the Java memory model, we have added more additions to the Java memory model before introducing the volatile keyword (as described in the previous blog post).1. Java memory model (JMM)JMM is a specification, mainly used to define the access rules for shared variables, in order to solve
code that calls it does not have the exception security, so it is writtenIs there any point in the exception security code?#3.” Strong assurance that "often can be achieved by Copy-and-swap."An example with Copy-and-swap: struct pmimpl{ //pmimpl = prettymenu Impl std::tr1::shared_ptr(1)Because strong guarantees such as copy-and-swap tend to consume more time and space, in order toTo ensure better efficiency, it should be replaced with "basic guar
these hard work in C #.
Dave Abrahams defines three security exceptions to guarantee programs: basic protection, strong guarantees, and no throw guarantees. Herb Sutter discussed these assurances in his exceptional C + + (Addison-wesley, 2000) book. The basic guarantee State is that there is no resource leak and that all objects are available after your application throws an exception. Strong exception gu
that you can use to set the same inner margin around the content. You can set this property to a number of pixels, or you can set it to a percentage. For example, we use pixels to set the inner margin to 25 pixels:
. Guarantee {
padding:25px
}
This will increase the inner margin of 25 pixels in the four week (top, right, bottom, and left) of the content. How to increase the inner margin only on the left.
CSS provides an attribute in each direct
);//install a new background image unlock (mutex); Release Mutex}In terms of "exception security", this function is very bad. "Exception safe" has two conditions, and this function does not satisfy any of these conditions.1) do not disclose any resources: once "new Image (IMGSRC)" Causes an exception, the call to unlock will never be executed, and the mutex will always be locked.2) Do not allow data corruption: if "new Image (Imgsrc)" Throws an exception, Bgimage is pointing to an obje
Ranking | search Engine | optimization
In the popular search engine "ranked first" in today is how tempting the business slogan, meaning a steady stream of business opportunities and visibility. But as search engines have adopted paid rankings, good keywords in the domestic Search engine page of the top 1-5 rankings are to 1500-8000 yuan/month price is bought, "guarantee ranking" premise is higher cost pay, which in the domestic major search engines t
Data competition and sequential consistency guaranteeData contention exists when the program is not synchronized correctly. The Java memory Model specification defines the competition for data as follows:
Write a variable in a thread,
Read the same variable on another thread,
and write and read are not sorted by synchronization.
When the code contains data competition, the execution of the program often produces counterintuitive results (as in the previous chapter). If a mu
we will see now, this is a very strong guarantee for programmers). The synchronization here refers to the generalized synchronization, including the correct use of common synchronization primitives (Lock,volatile and final).
Sequential consistent memory modelSequential consistent memory model is a theoretical reference model idealized by computer scientists, which provides a very strong guarantee of m
= Workbook.createworkbook (OPS);Format the text of a cellWritablefont wf = new Writablefont (Writablefont.arial,12,writablefont.no_bold,false,underlinestyle.no_underline, Colour.black);Writablecellformat WCF = new Writablecellformat (WF);Wcf.setverticalalignment (Verticalalignment.centre);Wcf.setalignment (Alignment.centre);Populating the contents of the dataLabel label;Writablesheet sheet=wwb.createsheet ("Quality table letter", 0);Sheet.setcolumnview (0,10);Sheet.setcolumnview (1,30);Sheet.se
Blockchain Quick Start (ii)--Distributed system core technology one, the consistency problem of distributed System 1, the consistency problem of distributed systemAs Moore's law hits the bottleneck, more and more cases rely on scalable distributed architectures to achieve massive processing power. The first problem that the single point structure evolves into distributed structure is the consistency of data. If multiple nodes in a distributed cluster cannot
fragments, as shown in figure: the replication collection algorithm uses two pieces of memory. When one piece of memory is insufficient, copy the surviving objects to another memory to avoid fragmentation. The replication algorithm is currently used by commercial virtual machines. Because the collection rate of object garbage collection in the new generation is very high, you do not need to allocate memory in a ratio of. Instead, you need to divide the memory into two larger Eden spaces and two
A simple definition of undo_retention is the minimum retention time of the most data. In Aum mode, the undo_retention parameter is used for the time when undo data is retained after the transaction commit. The Unit is seconds. This is a limitation of no guarantee. That is, if the space is sufficient, it is just a 'vase '. When the available space is insufficient and a transaction needs to roll back the space, the data will still be overwritten. This b
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