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A JIT compiler therefore has to make a trade-off between the compilation time and the quality of the code it hopes to generate. Startup time can include increased IO-bound operations in addition to JIT compilation: for example, the rt.jar class data file for the Java Virtual Machine (JVM) is 40 MB and the JVM must seek a lot of data in this ...
A tracing JIT compiler goes through various phases at runtime. First, profiling information for loops is collected. After a hot loop has been identified, a special tracing phase is entered, which records all executed operations of that loop. This sequence of operations is called a trace. The trace is then optimized and compiled to machine code.
In computing, copy-and-patch compilation is a simple compiler technique intended for just-in-time compilation (JIT compilation) that uses pattern matching to match pre-generated templates to parts of an abstract syntax tree (AST) or bytecode stream, and emit corresponding pre-written machine code fragments that are then patched to insert memory addresses, register addresses, constants and ...
The GraalVM compiler, Graal, is a modern Java (JIT) compiler. It complements or replaces the existing compilers (C1/C2 in HotSpot). In contrast to those existing compilers, Graal is written in a modular, maintainable and extendable fashion in Java itself. It is released under GPL version 2 with the classpath exception.
Just-in-time compilation (JIT) involves turning the byte-code into code immediately executable by the CPU. The conversion is performed gradually during the program's execution. JIT compilation provides environment-specific optimization, runtime type safety, and assembly verification. To accomplish this, the JIT compiler examines the assembly ...
The LLVM JIT compiler can optimize unneeded static branches out of a program at runtime, and thus is useful for partial evaluation in cases where a program has many options, most of which can easily be determined unneeded in a specific environment.
Further, JIT compilers can speculatively optimize hot code by making assumptions on the code. The generated code can be deoptimized if a speculative assumption later proves wrong. Such operation slows the performance of the running software until code is optimized again by adaptive optimization .
When code generation occurs at runtime, as in just-in-time compilation (JIT), it is important that the entire process be efficient with respect to space and time. For example, when regular expressions are interpreted and used to generate code at runtime, a non-deterministic finite-state machine is often generated instead of a deterministic one, because usually the former can be created more ...