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Loop unrolling. Loop unrolling, also known as loop unwinding, is a loop transformation technique that attempts to optimize a program's execution speed at the expense of its binary size, which is an approach known as space–time tradeoff. The transformation can be undertaken manually by the programmer or by an optimizing compiler.
Rust traits are implemented using static dispatch, meaning that the type of all values is known at compile time; however, Rust also uses a feature known as trait objects to accomplish dynamic dispatch (also known as duck typing). [98] Dynamically dispatched trait objects are declared using the syntax dyn Tr where Tr is a trait.
Cranelift (formerly known as Cretonne) is an optimizing compiler backend that converts a target-independent intermediate representation into executable machine code. It is written in Rust. The project started in 2016 and is currently developed by Bytecode Alliance. [2][3] Unlike compiler backends such as LLVM that focus more on ahead-of-time ...
MSVC. v. t. e. In computing, just-in-time (JIT) compilation (also dynamic translation or run-time compilations) [1] is compilation (of computer code) during execution of a program (at run time) rather than before execution. [2] This may consist of source code translation but is more commonly bytecode translation to machine code, which is then ...
MSVC. v. t. e. An optimizing compiler is a compiler designed to generate code that is optimized in aspects such as minimizing program execution time, memory use, storage size, and power consumption. Optimization is generally implemented as a sequence of optimizing transformations, algorithms that transform code to produce semantically ...
LLVM can also generate relocatable machine code at compile-time or link-time or even binary machine code at runtime. LLVM supports a language-independent instruction set and type system. [5] Each instruction is in static single assignment form (SSA), meaning that each variable (called a typed register) is assigned once and then frozen. This ...
Nim is designed to be "efficient, expressive, and elegant", [10] supporting metaprogramming, functional, message passing, [11] procedural, and object-oriented programming styles by providing several features such as compile time code generation, algebraic data types, a foreign function interface (FFI) with C, C++, Objective-C, and JavaScript ...
Loop optimization. In compiler theory, loop optimization is the process of increasing execution speed and reducing the overheads associated with loops. It plays an important role in improving cache performance and making effective use of parallel processing capabilities. Most execution time of a scientific program is spent on loops; as such ...