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  2. Just-in-time compilation - Wikipedia

    en.wikipedia.org/wiki/Just-in-time_compilation

    JIT compilation is a combination of the two traditional approaches to translation to machine code—ahead-of-time compilation (AOT), and interpretation—and combines some advantages and drawbacks of both. [2] Roughly, JIT compilation combines the speed of compiled code with the flexibility of interpretation, with the overhead of an interpreter ...

  3. GraalVM - Wikipedia

    en.wikipedia.org/wiki/GraalVM

    This was the last release to support Java SE 11, and the last Feature release of the year. GraalVM Enterprise 22.3.0 would be supported for the next 18 months, and GraalVM Community for 12 months. This version provided Java SE 19 builds, enabling users to take advantage of the latest Java SE 18 and Java SE 19 features.

  4. OpenJ9 - Wikipedia

    en.wikipedia.org/wiki/OpenJ9

    The Just-In-Time (JIT) improves the performance of Java applications by compiling platform-neutral Java bytecode into native machine code at run time. Not every method that gets called by an application is compiled. Instead, OpenJ9 records the number of times a method is called and triggers JIT compilation at a predefined threshold.

  5. Microsoft Visual C++ - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Visual_C++

    This was the final version with a cross-platform edition for the Mac available and it differed from the 2.x version in that it also allowed compilation for the PowerPC instruction set. Visual C++ 5.0 (bundled with Visual Studio 97) which included MFC 4.21 and was released 1997-04-28, [ 18 ] was a major upgrade from 4.2. [ 22 ]

  6. Java virtual machine - Wikipedia

    en.wikipedia.org/wiki/Java_virtual_machine

    Furthermore, the verifier ensures that any given instruction operates on a fixed stack location, [12] allowing the JIT compiler to transform stack accesses into fixed register accesses. Because of this, that the JVM is a stack architecture does not imply a speed penalty for emulation on register-based architectures when using a JIT compiler. In ...

  7. SpiderMonkey - Wikipedia

    en.wikipedia.org/wiki/SpiderMonkey

    IonMonkey was a JavaScript JIT compiler of Mozilla, which was aimed to enable many new optimizations that were impossible with the prior JägerMonkey architecture. [ 18 ] IonMonkey was a more traditional compiler: it translated SpiderMonkey bytecode into a control-flow graph , using static single assignment form (SSA) for the intermediate ...

  8. LLDB (debugger) - Wikipedia

    en.wikipedia.org/wiki/LLDB_(debugger)

    The Swift community maintains a version which adds support for the language. Free Pascal and the Lazarus IDE can use LLDB as backend for their own FpDebug engine. The LLDB debugger is known to work on macOS, Linux, FreeBSD, NetBSD and Windows, [4] and supports i386, x86-64, and ARM instruction sets. [5] LLDB is the default debugger for Xcode 5 ...

  9. Java performance - Wikipedia

    en.wikipedia.org/wiki/Java_performance

    Apart from the improvements listed here, each release of Java introduced many performance improvements in the JVM and Java application programming interface (API). JDK 1.1.6: First just-in-time compilation (Symantec's JIT-compiler) [2] [22] J2SE 1.2: Use of a generational collector. J2SE 1.3: Just-in-time compiling by HotSpot.