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Form of parallelization of computer code
Task parallelism (also known as function parallelism and control parallelism) is a form of parallelization of computer code across multiple processors in parallel computing environments. Task parallelism focuses on distributing tasks—concurrently performed by processes or threads—across different processors. In contrast to data parallelism which involves running the same task on different components of data, task parallelism is distinguished by running many different tasks at the same time on the same data.[1] A common type of task parallelism is pipelining, which consists of moving a single set of data through a series of separate tasks where each task can execute independently of the others.
^Reinders, James (10 September 2007). "Understanding task and data parallelism | ZDNet". ZDNet. Retrieved 8 May 2017.
Taskparallelism (also known as function parallelism and control parallelism) is a form of parallelization of computer code across multiple processors...
working on each element in parallel. It contrasts to taskparallelism as another form of parallelism. A data parallel job on an array of n elements can...
parallel computing: bit-level, instruction-level, data, and taskparallelism. Parallelism has long been employed in high-performance computing, but has...
for communication. Taskparallelism is a natural way to express message-passing communication. In Flynn's taxonomy, taskparallelism is usually classified...
Data parallelism features can also be implemented by libraries using dedicated data structures, such as parallel arrays. The term taskparallelism is used...
based on ANSI C, with the addition of Cilk-specific keywords to signal parallelism. When the Cilk keywords are removed from Cilk source code, the result...
to divide a task among the threads so that each thread executes its allocated part of the code. Both taskparallelism and data parallelism can be achieved...
itself. Internally it uses TPL for execution. The Task Parallel Library (TPL) is the taskparallelism component of the Parallel Extensions to .NET. It...
typically each user request is routed to a specific node, achieving taskparallelism without multi-node cooperation, given that the main goal of the system...
lingual papillitis, lumps on the tongue Thread level parallelism, an exploitation of taskparallelism in computing TLP, an Advanced Power Management for...
Multiple program, multiple data (MPMD) parallelism Message passing using MPI Taskparallelism Data parallelism Combinations of these approaches Custom...
parallel computing: bit-level, instruction level, data, and taskparallelism. Parallelism has been employed for many years, mainly in high-performance...
divide-and-conquer formulation makes it amenable to parallelization using taskparallelism. The partitioning step is accomplished through the use of a parallel...
parallel task on its own. Therefore, DOACROSS parallelism can be used to complement DOALL parallelism to reduce loop execution times. DOACROSS parallelism is...
Telescope Initial Mid-Course Correction Monte Carlo Implementation using TaskParallelism. International Symposium on Space Flight Dynamics. Laurel, MD. GSFC-E-DAA-TN14162...
other symmetric multiprocessing systems. It is an implementation of taskparallelism based on the thread pool pattern. The fundamental idea is to move the...
about task division or process communication, focusing instead on the problem that his or her program is intended to solve. Implicit parallelism generally...
DOPIPE parallelism is a method to perform loop-level parallelism by pipelining the statements in a loop. Pipelined parallelism may exist at different...
provides a standard interface for parallel computing using task- and data-based parallelism. OpenCL is an open standard maintained by the non-profit technology...
There are two types of tacit collusion: concerted action and conscious parallelism. In a concerted action also known as concerted activity, competitors...
CPU (that is, to increase the use of on-die execution resources); task-level parallelism (TLP), which purposes to increase the number of threads or processes...
with a quantum state in superposition, sometimes referred to as quantum parallelism. Peter Shor built on these results with his 1994 algorithms for breaking...
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