


Is `System.nanoTime()` Truly Reliable for Time Measurement in Multi-core Environments?
System.nanoTime(): Misconceptions and Actual Functionality
The accuracy and consistency of System.nanoTime() for time measurements have been a topic of discussion. Concerns have been raised regarding its behavior in a multi-core environment, where readings may be negative due to counter differences across processors.
However, the original claim that System.nanoTime() is unreliable is incorrect. On modern operating systems (including Windows XP SP2 and later and Linux kernel 2.6.18 and later), System.nanoTime() is implemented using sophisticated mechanisms that ensure consistent behavior.
In Windows, the underlying QueryPerformanceCounter API is employed, which utilizes either the power management timer (PMTimer) or processor timestamp-counter (TSC) based on the operating system and hardware configuration. While there were previous issues with TSC synchronization on SMP systems in Windows XP SP2 and earlier, these have been addressed, and QPC now provides reliable time measurements.
On Linux, System.nanoTime() is usually implemented using clock_gettime(CLOCK_REALTIME), which ensures consistency across all processors and cores. The kernel has mechanisms in place to fall back to a safe clock source in case of unsynced or variable timestamp counters.
In summary, System.nanoTime() is a reliable and useful method for measuring time intervals in modern Java environments. The concerns about counter differences across processors have been resolved through advancements in operating system and CPU design.
The above is the detailed content of Is `System.nanoTime()` Truly Reliable for Time Measurement in Multi-core Environments?. For more information, please follow other related articles on the PHP Chinese website!

JVM'sperformanceiscompetitivewithotherruntimes,offeringabalanceofspeed,safety,andproductivity.1)JVMusesJITcompilationfordynamicoptimizations.2)C offersnativeperformancebutlacksJVM'ssafetyfeatures.3)Pythonisslowerbuteasiertouse.4)JavaScript'sJITisles

JavaachievesplatformindependencethroughtheJavaVirtualMachine(JVM),allowingcodetorunonanyplatformwithaJVM.1)Codeiscompiledintobytecode,notmachine-specificcode.2)BytecodeisinterpretedbytheJVM,enablingcross-platformexecution.3)Developersshouldtestacross

TheJVMisanabstractcomputingmachinecrucialforrunningJavaprogramsduetoitsplatform-independentarchitecture.Itincludes:1)ClassLoaderforloadingclasses,2)RuntimeDataAreafordatastorage,3)ExecutionEnginewithInterpreter,JITCompiler,andGarbageCollectorforbytec

JVMhasacloserelationshipwiththeOSasittranslatesJavabytecodeintomachine-specificinstructions,managesmemory,andhandlesgarbagecollection.ThisrelationshipallowsJavatorunonvariousOSenvironments,butitalsopresentschallengeslikedifferentJVMbehaviorsandOS-spe

Java implementation "write once, run everywhere" is compiled into bytecode and run on a Java virtual machine (JVM). 1) Write Java code and compile it into bytecode. 2) Bytecode runs on any platform with JVM installed. 3) Use Java native interface (JNI) to handle platform-specific functions. Despite challenges such as JVM consistency and the use of platform-specific libraries, WORA greatly improves development efficiency and deployment flexibility.

JavaachievesplatformindependencethroughtheJavaVirtualMachine(JVM),allowingcodetorunondifferentoperatingsystemswithoutmodification.TheJVMcompilesJavacodeintoplatform-independentbytecode,whichittheninterpretsandexecutesonthespecificOS,abstractingawayOS

Javaispowerfulduetoitsplatformindependence,object-orientednature,richstandardlibrary,performancecapabilities,andstrongsecurityfeatures.1)PlatformindependenceallowsapplicationstorunonanydevicesupportingJava.2)Object-orientedprogrammingpromotesmodulara

The top Java functions include: 1) object-oriented programming, supporting polymorphism, improving code flexibility and maintainability; 2) exception handling mechanism, improving code robustness through try-catch-finally blocks; 3) garbage collection, simplifying memory management; 4) generics, enhancing type safety; 5) ambda expressions and functional programming to make the code more concise and expressive; 6) rich standard libraries, providing optimized data structures and algorithms.


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

EditPlus Chinese cracked version
Small size, syntax highlighting, does not support code prompt function

SublimeText3 English version
Recommended: Win version, supports code prompts!

MantisBT
Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

SublimeText3 Linux new version
SublimeText3 Linux latest version

SecLists
SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.
