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This template is used on approximately 75,000 pages and changes may be widely noticed. Test changes in the template's /sandbox or /testcases subpages, or in your own user subpage . Consider discussing changes on the talk page before implementing them.
SkeTo is different from other skeleton libraries because instead of providing nestable parallelism patterns, SkeTo provides parallel skeletons for parallel data structures such as: lists, trees, [85] [86] and matrices. [87] The data structures are typed using templates, and several parallel operations can be invoked on them.
This is a documentation subpage for Template:Bulleted list. It may contain usage information, categories and other content that is not part of the original template page. This template is used on approximately 75,000 pages and changes may be widely noticed.
1 Why use this template over asterisks? ... 3 Doesn't bullet inside a plain list. 1 comment. 4 Clarity and examples. 2 comments. 5 Indentation. 1 comment. 6 Style ...
In computing, a group of parallel arrays (also known as structure of arrays or SoA) is a form of implicit data structure that uses multiple arrays to represent a singular array of records. It keeps a separate, homogeneous data array for each field of the record, each having the same number of elements. Then, objects located at the same index in ...
The bulk synchronous parallel (BSP) abstract computer is a bridging model for designing parallel algorithms. It is similar to the parallel random access machine (PRAM) model, but unlike PRAM, BSP does not take communication and synchronization for granted. In fact, quantifying the requisite synchronization and communication is an important part ...
This template is very similar to {{unbulleted list}}, except that it automatically indents parts of long items that are wrapped onto a new line. This makes it easier to tell apart multiple such items when width is limited—e.g. in an {{ infobox }} —and eliminates the need for a bulleted list.
Atanasoff–Berry computer, the first computer with parallel processing [1] Instruction-level parallelism (ILP) is the parallel or simultaneous execution of a sequence of instructions in a computer program. More specifically, ILP refers to the average number of instructions run per step of this parallel execution. [2]: 5