TheInfoListRev V5.1.84
Xfr/
SummaryRelatedTreeNews

Related topics

Program optimization

Sponsored
Shop Amazon for car vacuums
Browse products on Amazon.
Search Amazon →
As an Amazon Associate I earn from qualifying purchases.

Improving the efficiency of software In computer science, program optimization, code optimization, or software optimization is the process of modifying a software system to make some aspect of it work more efficiently or use fewer resources. In general, a computer program may be optimized so that it executes more rapidly, or to make it capable of operating with less memory storage or other resources, or draw less power.

Optimizing compilerOptimizing compilerAn optimizing compiler is a compiler designed to generate code that is optimized in aspects such as minimizing program execution time, memory usage, storage size, and power consumption. Optimization is generally implemented as a sequence of optimizing transformations, a.k.a. compiler optimizations – algorithms that transform code to produce semantically equivalent code optimized for some aspect. Optimization is limited by a number of factors.Profile-guided optimizationIn computer programming, profile-guided optimization (PGO, sometimes pronounced as pogo), also known as profile-directed feedback (PDF) or feedback-directed optimization (FDO), is the compiler optimization technique of using prior analyses of software artifacts or behaviors ("profiling") to improve the expected runtime performance of the program.AlgorithmAlgorithmIn mathematics and computer science, an algorithm () is any well-defined set of instructions that when followed terminates after a finite number of steps that comprise a solution to a given computational problem. Advanced algorithms may utilize loops and involve many conditionals that decide the next step based on the inputs provided, resulting in long sequences of steps before halting, but all algorithms terminate by definition.Hybrid algorithmHybrid algorithmA hybrid algorithm is an algorithm that combines two or more other algorithms that solve the same problem, either choosing one based on some characteristic of the data, or switching between them over the course of the algorithm. This is generally done to combine desired features of each, so that the overall algorithm is better than the individual components.Assembly languageAssembly languageIn computing, assembly language (alternatively assembler language or symbolic machine code), often referred to simply as assembly and commonly abbreviated as ASM or asm, is any low-level programming language with a very strong correspondence between the instructions in the language and the architecture'smachine codeinstructions.C (programming language)C (programming language)General-purpose programming languageC is a general-purpose programming language created in 1972 by Dennis Ritchie. By design, C gives programmers relatively direct access to the features of typical CPU architectures, customized for the target instruction set. It has been and continues to be used to implement operating systems (especially kernels), device drivers, and protocol stacks, though its use in application software is decreasing.Computer programComputer programInstructions a computer can executeSource code for a computer program written in the JavaScript language. It demonstrates the appendChild() method. The method adds a new child node to an existing parent node. It is commonly used to dynamically modify the structure of an HTML document.A computer program is a sequence or set of instructions in a programming language for a computer to execute.SuperoptimizationSuperoptimization is the process where a compiler automatically finds the optimal sequence for a loop-free sequence of instructions. Real-world compilers generally cannot produce genuinely optimal code, and while most standard compiler optimizations only improve code partly, a superoptimizer's goal is to find the optimal sequence, the canonical form.Space–time tradeoffA space–time trade-off (also known as time–memory trade-off or the algorithmic space-time continuum) in computer science is a trade-off where an algorithm or program increased space usage with decreased time. Here, space refers to the data storage consumed in performing a given task (RAM, HDD, etc.), and time refers to the time consumed in performing a given task (computation time or response time).Algorithmic efficiencyIn computer science, algorithmic efficiency is a property of an algorithm which relates to the amount of computational resources used by the algorithm. Algorithmic efficiency can be thought of as analogous to engineering productivity for a repeating or continuous process. For maximum efficiency it is desirable to minimize resource usage.Computer scienceComputer scienceStudy of computationFundamental areas of computer scienceProgramming language theoryComputer architectureArtificial intelligenceComputational complexity theoryComputer science is the study of computation, information, and automation, together with their associated phenomena.Computer data storageComputer data storageComputer data storage or digital data storage is the retention of digital data via technology consisting of computer components and recording media. Digital data storage is a core function and fundamental component of computers. Generally, the faster and volatile storage components are referred to as "memory", while slower persistent components are referred to as "storage".

*As an Amazon Associate I earn from qualifying purchases.

AboutPrivacyContact

TheInfoList organizes topic information and links to original sources.

Loading topic…