parallel processors - definizione. Che cos'è parallel processors
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Cosa (chi) è parallel processors - definizione

MAJOR AND MINOR SCALES WITH SAME TONIC
Parallel minor; Parallel major; Parallel minor/major; Parallel chord; Parallel chords; Parallel triad; Parallel (music); Parallelklang
  • Play}} scales on C: common notes connected by a vertical line.

parallel processor         
  • A graphical representation of [[Amdahl's law]]. The speedup of a program from parallelization is limited by how much of the program can be parallelized. For example, if 90% of the program can be parallelized, the theoretical maximum speedup using parallel computing would be 10 times no matter how many processors are used.
  • Beowulf cluster]]
  • Blue Gene/L]] massively parallel [[supercomputer]]
  • The [[Cray-1]] is a vector processor
  • 1=IPC = 1}}).
  • A graphical representation of [[Gustafson's law]]
  • [[ILLIAC IV]], "the most infamous of supercomputers"<ref name="infamous"/>
  • 1=IPC = 0.2 < 1}}).
  • A logical view of a [[non-uniform memory access]] (NUMA) architecture. Processors in one directory can access that directory's memory with less latency than they can access memory in the other directory's memory.
  • Tesla GPGPU card]]
  • 1=IPC = 2 > 1}}).
  • Taiwania 3 of [[Taiwan]], a parallel supercomputing device that joined [[COVID-19]] research.
PROGRAMMING PARADIGM IN WHICH MANY CALCULATIONS OR THE EXECUTION OF PROCESSES ARE CARRIED OUT SIMULTANEOUSLY
Parallel computer; Parallel processor; Parallel computation; Parallel programming; Parallel Programming; Parallel computers; Concurrent language; Concurrent event; Computer Parallelism; Parallel machine; Concurrent (programming); Parallel architecture; Parallel Computing; Parallelisation; Parallelization; Parallelized; Multicomputer; Parallelism (computing); Parellel computing; Superword Level Parallelism; Parallel programming language; Message-driven parallel programming; Parallel computer hardware; Parallel program; Parallel code; Parallel language; Parallel processing (computing); Multiple processing elements; Parallel execution units; History of parallel computing; Parallel hardware; Parallel processing computer
<parallel> A computer with more than one {central processing unit}, used for parallel processing. (1996-04-23)
parallel processing         
WIKIMEDIA DISAMBIGUATION PAGE
Parallel Processing; Parallel processing (disambiguation); Parallel process (disambiguation)
In computing, parallel processing is a system in which several instructions are carried out at the same time instead of one after the other. (COMPUTING)
N-UNCOUNT
parallel processing         
WIKIMEDIA DISAMBIGUATION PAGE
Parallel Processing; Parallel processing (disambiguation); Parallel process (disambiguation)
<parallel> (Or "multiprocessing") The simultaneous use of more than one computer to solve a problem. There are many different kinds of parallel computer (or "parallel processor"). They are distinguished by the kind of interconnection between processors (known as "processing elements" or PEs) and between processors and memory. {Flynn's taxonomy} also classifies parallel (and serial) computers according to whether all processors execute the same instructions at the same time ("{single instruction/multiple data}" - SIMD) or each processor executes different instructions ("multiple instruction/multiple data" - MIMD). The processors may either communicate in order to be able to cooperate in solving a problem or they may run completely independently, possibly under the control of another processor which distributes work to the others and collects results from them (a "processor farm"). The difficulty of cooperative problem solving is aptly demonstrated by the following dubious reasoning: If it takes one man one minute to dig a post-hole then sixty men can dig it in one second. Amdahl's Law states this more formally. Processors communicate via some kind of network or bus or a combination of both. Memory may be either shared memory (all processors have equal access to all memory) or private (each processor has its own memory - "distributed memory") or a combination of both. Many different software systems have been designed for programming parallel computers, both at the operating system and programming language level. These systems must provide mechanisms for partitioning the overall problem into separate tasks and allocating tasks to processors. Such mechanisms may provide either implicit parallelism - the system (the compiler or some other program) partitions the problem and allocates tasks to processors automatically or {explicit parallelism} where the programmer must annotate his program to show how it is to be partitioned. It is also usual to provide synchronisation primitives such as semaphores and monitors to allow processes to share resources without conflict. Load balancing attempts to keep all processors busy by allocating new tasks, or by moving existing tasks between processors, according to some algorithm. Communication between tasks may be either via shared memory or message passing. Either may be implemented in terms of the other and in fact, at the lowest level, shared memory uses message passing since the address and data signals which flow between processor and memory may be considered as messages. The terms "parallel processing" and "multiprocessing" imply multiple processors working on one task whereas "{concurrent processing}" and "multitasking" imply a single processor sharing its time between several tasks. See also cellular automaton,symmetric multi-processing. Usenet newsgroup: news:comp.parallel. Institutions (http://ccsf.caltech.edu/other_sites.html), {parallel processingscandal/research-groups.html">research groups (http://cs.cmu.edu/parallel processingscandal/research-groups.html)}. (2004-11-07)

Wikipedia

Parallel key

In music theory, a major scale and a minor scale that have the same tonic note are called parallel keys and are said to be in a parallel relationship. The parallel minor or tonic minor of a particular major key is the minor key based on the same tonic; similarly the parallel major has the same tonic as the minor key. For example, G major and G minor have different modes but both have the same tonic, G; so G minor is said to be the parallel minor of G major. In contrast, a major scale and a minor scale that have the same key signature (and therefore different tonics) are called relative keys.

A major scale can be transformed to its parallel minor by lowering the third, sixth, and seventh scale degrees, and a minor scale can be transformed to its parallel major by sharpening those same scale degrees.

In the early nineteenth century, composers began to experiment with freely borrowing chords from the parallel key.

To the Western ear, the switch from a major key to its parallel minor sounds like a fairly simplistic saddening of the mood (while the opposite sounds like a brightening). This change is quite distinct from a switch to the relative minor. Class or key have their second theme in the relative major in the exposition, but the second theme comes back in the original minor key in the recapitulation. This is unique to the form, and allows the composer to state a given theme in both major and minor modes. Later it also became common to state the second theme in the tonic major in the recapitulation, with or without a later return to the minor.

In rock and popular music, examples of songs that emphasize parallel keys include Grass Roots' "Temptation Eyes", The Police's "Every Little Thing She Does Is Magic", Lipps Inc's "Funkytown", The Beatles' "Norwegian Wood," and Dusty Springfield's "You Don't Have To Say You Love Me".