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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 ...
In computer science, compile time (or compile-time) describes the time window during which a language's statements are converted into binary instructions for the processor to execute. [1] The term is used as an adjective to describe concepts related to the context of program compilation, as opposed to concepts related to the context of program ...
Royce presented this model as an example of a flawed, non-working model. [8] The basic principles are: [1] The Project is divided into sequential phases, with some overlap and splashback acceptable between phases. Emphasis is on planning, time schedules, target dates, budgets, and implementation of an entire system at one time.
One DynamoRIO-based project was a framework for interpreter construction that combines tracing and partial evaluation. It was used to "dynamically remove interpreter overhead from language implementations". [4] In 2006, HotpathVM, the first tracing JIT compiler for a high-level language [citation needed] was developed. [5]
A multi-pass compiler is a type of compiler that processes the source code or abstract syntax tree of a program several times. This is in contrast to a one-pass compiler, which traverses the program only once. Each pass takes the result of the previous pass as the input, and creates an intermediate output.
First published in 1986, it is widely regarded as the classic definitive compiler technology text. [2] It is known as the Dragon Book to generations of computer scientists [3] [4] as its cover depicts a knight and a dragon in battle, a metaphor for conquering complexity. This name can also refer to Aho and Ullman's older Principles of Compiler ...
The COINS compiler uses SSA form optimizations as explained here. Reservoir Labs' R-Stream compiler supports non-SSA (quad list), SSA and SSI (Static Single Information [35]) forms. [36] Although not a compiler, the Boomerang decompiler uses SSA form in its internal representation. SSA is used to simplify expression propagation, identifying ...
Regardless of the exact number of phases in the compiler design, the phases can be assigned to one of three stages. The stages include a front end, a middle end, and a back end. The front end scans the input and verifies syntax and semantics according to a specific source language.