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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
Task_parallelism
Parallelization across multiple processors in parallel computing environments
working on each element in parallel. It contrasts to task parallelism as another form of parallelism. A data parallel job on an array of n elements can
Data_parallelism
Programming paradigm in which many processes are executed simultaneously
parallel computing: bit-level, instruction-level, data, and task parallelism. Parallelism has long been employed in high-performance computing, but has
Parallel_computing
Abstraction of parallel computer architecture
for communication. Task parallelism is a natural way to express message-passing communication. In Flynn's taxonomy, task parallelism is usually classified
Parallel_programming_model
Object-oriented programming language extension for Java
Data parallelism features can also be implemented by libraries using dedicated data structures, such as parallel arrays. The term task parallelism is used
Ateji_PX
Measure of the amount of work needed to perform a computing task
task, parallelism can be classified into three categories: fine-grained, medium-grained and coarse-grained parallelism. In fine-grained parallelism,
Granularity (parallel computing)
Granularity_(parallel_computing)
Compiler transformation of sequential programs for parallel execution
identify statements, functions, tasks or regions whose dependences permit concurrent execution. Extracting such parallelism becomes more difficult when control
Automatic_parallelization
Programming language
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
Cilk
Unit of execution or work in software
By contrast, the term "task queue" is commonly used in the sense of "units of work". Task parallelism Task queue "What is task? - Definition from WhatIs
Task_(computing)
Loop-level parallelism is a form of parallelism in software programming that is concerned with extracting parallel tasks from loops. The opportunity for
Loop-level_parallelism
.NET managed concurrency library
itself. Internally it uses TPL for execution. The Task Parallel Library (TPL) is the task parallelism component of the Parallel Extensions to .NET. It
Parallel_Extensions
Technology developed by Apple Inc
other symmetric multiprocessing systems. It is an implementation of task parallelism based on the thread pool pattern. The fundamental idea is to move the
Grand_Central_Dispatch
Physical components of a computer
implement data parallelism, thread-level parallelism and request-level parallelism (both implementing task-level parallelism). Microarchitecture, also known as
Computer_hardware
Open standard for parallelizing
to divide a task among the threads so that each thread executes its allocated part of the code. Both task parallelism and data parallelism can be achieved
OpenMP
Parallel programming language
high level by supporting abstractions for data parallelism, task parallelism, and nested parallelism. It enables optimizations for the locality of data
Chapel_(programming_language)
Set of computers configured in a distributed computing system
typically each user request is routed to a specific node, achieving task parallelism without multi-node cooperation, given that the main goal of the system
Computer_cluster
Inherent parallelism in expressed computation
worry about task division or process communication, focusing instead on the problem that their program is intended to solve. Implicit parallelism generally
Implicit_parallelism
parallel task on its own. Therefore, DOACROSS parallelism can be used to complement DOALL parallelism to reduce loop execution times. DOACROSS parallelism is
DOACROSS_parallelism
Way of setting up and executing parallel computer programs
and cilk_sync in Cilk Plus. Computer programming portal MapReduce Task parallelism Work stealing Michael McCool; James Reinders; Arch Robison (2013).
Fork–join_model
Subfield of computer science and mathematics
parallel computing: bit-level, instruction level, data, and task parallelism. Parallelism has been employed for many years, mainly in high-performance
Theoretical_computer_science
Divide and conquer sorting algorithm
divide-and-conquer formulation makes it amenable to parallelization using task parallelism. The partitioning step is accomplished through the use of a parallel
Quicksort
and Charles Anderson carried out the first concurrent programming (task parallelism) in neural network research. A program, "CAA Controller," written and
Timeline of artificial intelligence
Timeline_of_artificial_intelligence
Computer hardware technology that uses quantum mechanics
with a quantum state in superposition, sometimes referred to as quantum parallelism. Peter Shor built on these results in 1994 with polynomial-time quantum
Quantum_computing
Central computer component that executes instructions
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
Central_processing_unit
Solving multiple machine learning tasks at the same time
respective search spaces. Evolutionary multi-tasking has been explored as a means of exploiting the implicit parallelism of population-based search algorithms
Multi-task_learning
forms of parallel computing: bit-level, instruction-level, data, and task parallelism. parameter In computer programming, a special kind of variable, used
Glossary_of_computer_science
Advanced interactive shell for Python
Multiple program, multiple data (MPMD) parallelism Message passing using MPI Task parallelism Data parallelism Combinations of these approaches Custom
IPython
Chinese artificial intelligence company
various forms of parallelism such as data parallelism (DP), pipeline parallelism (PP), tensor parallelism (TP), experts parallelism (EP), fully sharded
DeepSeek
Class of parallel computing applications
addressing a particular part of the problem. This is often referred to as task parallelism. Data-intensive is used to describe applications that are I/O bound
Data-intensive_computing
Formula in computer architecture
argument) is a formula limiting the speedup of a task as resources are added to the system executing that task. The law can be stated as[disputed – discuss]:
Amdahl's_law
Array of processing elements specialized for parallelizable workloads
flexibility of the spatial architecture and enabling it to also exploit task parallelism. Workloads demonstrated to run on these spatial architectures include:
Spatial_architecture
Data processing chain
the building and running of big data pipelines. Dataflow Throughput Parallelism Instruction pipeline Classic RISC pipeline Graphics pipeline Pipeline
Pipeline_(computing)
Open standard for programming heterogenous computing systems, such as CPUs or GPUs
provides a standard interface for parallel computing using task- and data-based parallelism. OpenCL is an open standard maintained by the Khronos Group
OpenCL
2015 password-based key derivation function
multiple of 4*parallelism kibibytes blockCount ← Floor(memorySizeKB, 4*parallelism) Allocate two-dimensional array of 1 KiB blocks (parallelism rows x columnCount
Argon2
Executing several computations during overlapping time periods
which can use parallelism or time-slicing to perform these tasks. Programs may exhibit parallelism only, concurrency only, both parallelism and concurrency
Concurrent_computing
Dataflow-based graph execution model.
"hyperblock". Hyperblocks are designed to be able to easily run in parallel. Parallelism of modern CPU designs generally starts to plateau at about eight internal
Explicit_data_graph_execution
Topics referred to by the same term
lingual papillitis, lumps on the tongue Thread level parallelism, an exploitation of task parallelism in computing Traffic Light Protocol, a system for classifying
TLP
Theoretical speedup formula in computer architecture
where S {\displaystyle S} is the theoretical speedup of the program with parallelism (scaled speedup); N {\displaystyle N} is the number of processors; s
Gustafson's_law
Means of achieving computer multitasking
(Java) Light Weight Kernel Threads Fiber (computer science) Task (computing) Task parallelism Futures and promises POSIX Threads Fork (system call) § Clone
Light-weight_process
Algorithm for modelling sequential data
Model parallelism divides a model itself across devices. Tensor parallelism splits operations within individual layers, while pipeline parallelism assigns
Transformer_(deep_learning)
Collusion between competitors
There are two types of tacit collusion: concerted action and conscious parallelism. In a concerted action, also known as concerted activity, competitors
Tacit_collusion
File format for block-based Gzip compression
www.htslib.org. Retrieved 2025-06-03. Weeks, N. T. (2018). "Openmp task parallelism for faster genomic data processing" (PDF). Reading, decoding, sorting
BGZF
Part of the James Webb Space Telescope
Telescope Initial Mid-Course Correction Monte Carlo Implementation using Task Parallelism" (PDF) – via ntrs.nasa.gov. "FAQ-Public JWST/NASA". jwst.nasa.gov.
Spacecraft bus (James Webb Space Telescope)
Spacecraft_bus_(James_Webb_Space_Telescope)
GPU microarchitecture by Nvidia
CPU, and in the process free up the CPU to work on other tasks. Enabling Dynamic Parallelism requires a new grid management and dispatch control system
Kepler_(microarchitecture)
CPU that implements instruction-level parallelism within a single processor
multiple-issue processor) is a CPU that implements a form of parallelism called instruction-level parallelism within a single processor. In contrast to a scalar
Superscalar_processor
Thought experiment in philosophy
philosophers claim that zombies are conceivable, they invariably underestimate the task of conception (or imagination), and end up imagining something that violates
Philosophical_zombie
Comprehensive outline of core abstractions in the field of computer science
are foundational concepts that underlie virtually all of the programming tasks that software developers engage in. By providing a layer of separation from
List of abstractions (computer science)
List_of_abstractions_(computer_science)
DOPIPE parallelism is a method to perform loop-level parallelism by pipelining the statements in a loop. Pipelined parallelism may exist at different
DOPIPE
Type of program in computer graphics
access to the data necessary to process geometry. Nvidia introduced mesh and task shaders with its Turing microarchitecture in 2018 which are also modelled
Shader
End-to-end testing framework
June 2023. "Library". Playwright. Microsoft. Retrieved 1 June 2023. "Parallelism and sharding". Playwright. Microsoft. Retrieved 1 June 2023. Attam, Arjun
Playwright_(software)
Open-source data analytics cluster computing framework
Spark provides an interface for programming clusters with implicit data parallelism and fault tolerance. Originally developed at the University of California
Apache_Spark
Microprocessor architecture
parallelism by the capabilities of the compiler, not the on-chip systems. Whereas modern processors are reaching a plateau at four-wide parallelism,
TRIPS_architecture
Use of many processors to perform simultaneous operations
processors working in parallel, an MPPA chip can accomplish more demanding tasks than conventional chips.[citation needed] MPPAs are based on a software
Massively_parallel
Message-passing system for parallel computers
and pbdMPI, where Rmpi focuses on manager-workers parallelism while pbdMPI focuses on SPMD parallelism. Both implementations fully support Open MPI or MPICH2
Message_Passing_Interface
Multi-paradigm system programming language
std.parallelism.taskPool.reduce * * On AMD Threadripper 2950X, and gdc 9.3.0: * 2864ms using std.algorithm.reduce * 95ms using std.parallelism.taskPool
D_(programming_language)
C++ library providing parallelism support
equivalent of STL iterators, extended to allow efficient parallelism. pRange - a parallel task dependence graph recursively defined as a tree of subranges
Stapl
Computational threads scheduled by a run-time library
threads. Preemptive execution is important to performance gains through parallelism and fast preemptive response times for tens of millions of events. Earlier
Virtual_thread
Series of GPUs by Nvidia
Improvement CUDA Compute Capability 3.5 New Shuffle Instructions Dynamic Parallelism Hyper-Q (Hyper-Q's MPI functionality reserve for Tesla only) Grid Management
GeForce_700_series
Programming paradigm based on formal logic
forward reasoning beats backward reasoning in a more conventional computation task, where the goal ?- fibonacci(n, Result) is to find the nth fibonacci number:
Logic_programming
Specialized computer hardware
include speedup, reduced power consumption, lower latency, increased parallelism and bandwidth, and better utilization of area and functional components
Hardware_acceleration
Database system utilizing parallelization
implemented. Intraquery parallelism A single query that is executed in parallel using multiple processors or disks. Independent parallelism Execution of each
Parallel_database
C++ programming library
Processor Parallelism (Paperback ed.), Sebastopol: O'Reilly Media, ISBN 978-0-596-51480-8 Voss, M. (October 2006), Demystify Scalable Parallelism with Intel
Threading_Building_Blocks
(Anticipatory Parallelism) is a term coined by Bob Metcalfe in 1998. It is a technique of using idle machine cycles to perform useful computing tasks in the
Anticiparallelism
Open question in philosophy of how abstract minds interact with physical bodies
whether other systems of equal complexity lack such features. The massive parallelism of neural networks allows redundant populations of neurons to mediate
Mind–body_problem
both fine-grained and coarse-grain parallelism due to its special hardware Synchronizer/Scheduler, shared memory and task based programming model. The HyperCore
Plurality_(company)
Type of parallel processing
should not be confused with an ISA. Such machines exploit data level parallelism, but not concurrency: there are simultaneous (parallel) computations
Single instruction, multiple data
Single_instruction,_multiple_data
Concurrent execution of multiple processes
capabilities. Process state Task switching "What Is Multitasking?". Computer Hope. Retrieved 2026-02-11. "Concurrency vs Parallelism, Concurrent Programming
Computer_multitasking
Parallel computing algorithm
2021-12-26. Robison, Arch (15 January 2014). A Primer on Scheduling Fork–Join Parallelism with Work Stealing (PDF) (Technical report). ISO/IEC JTC 1/SC 22/WG 21—The
Work_stealing
Python library for parallel computing
minimal task overhead and no cost from transfer of data between tasks. Due to Python's Global Interpreter Lock, local threads provide parallelism only when
Dask_(software)
Design of high-performance computers
pioneered by Seymour Cray relied on compact innovative designs and local parallelism to achieve superior computational peak performance. However, in time
Supercomputer_architecture
Computing technique used to achieve parallelism
term that has been used to refer to computational models for exploiting parallelism whereby multiple processors cooperate in the execution of a program in
Single_program,_multiple_data
Speed web pages are downloaded and displayed
instead of ordered and blocked can therefore use one connection for parallelism uses header compression to reduce overhead allows servers to "push" responses
Web_performance
Optimization problem in computer science
scheduling moldable and non-moldable parallel tasks". Proceedings of the twenty-fourth annual ACM symposium on Parallelism in algorithms and architectures. pp. 224–235
Parallel_task_scheduling
Software related to robots
application development. All robotic applications need parallelism and event-based programming. Parallelism is where the robot does two or more things at the
Robot_software
Authenticated encryption mode for block ciphers
on a message, interleaving those operations using instruction-level parallelism can increase performance. This process is called function stitching,
Galois/Counter_Mode
Criticism of the Java programming language and Java software platform
libraries. Per Brinch Hansen argued in 1999 that Java's implementation of parallelism in general, and monitors in particular, does not provide the guarantees
Criticism_of_Java
Method for data management
responding to search queries. This is a collision between two competing tasks. Consider that authors are producers of information, and a web crawler is
Search_engine_indexing
Visual performance model
added ceilings represent the lack of instruction level parallelism and task level parallelism. An example roofline model with locality walls. The wall
Roofline_model
Procedure in computing
duplicates on another file All three types of parallelism usually operate combined in a single job or task. An additional difficulty comes with making sure
Extract,_transform,_load
Artificial intelligence model paradigm
infrastructure, instead of bespoke and one-off task-specific models. Advances in computer parallelism (e.g., CUDA GPUs) and new developments in neural
Foundation_model
Revision of the C++ programming language released in 2026
(22 November 2024). "std::simd - merge data-parallel types from the Parallelism TS 2" (PDF). open-std.org. WG21. Sutter, Herb. "Trip report: June 2025
C++26
Algorithms which recursively solve subproblems
Kolmogorov's 1956 conjecture that Ω(n2) operations would be required for that task. As another example of a divide-and-conquer algorithm that did not originally
Divide-and-conquer_algorithm
Functions whose execution can be paused
they allow tasks to be performed out of order or in a changeable order, without changing the overall outcome, but they do not provide parallelism, because
Coroutine
Parallel programming model
In computing, algorithmic skeletons, or parallelism patterns, are a high-level parallel programming model for parallel and distributed computing. Algorithmic
Algorithmic_skeleton
Software design pattern
Linux manual page". www.man7.org. Retrieved 2025-01-26. "Controlling Parallelism (GNU Findutils 4.10.0)". www.gnu.org. Retrieved 2025-01-26. "Go by Example:
Thread_pool
Efficiency improving technique for superscalar CPUs
increase on-chip parallelism with fewer resource requirements: one is superscalar technique which tries to exploit instruction-level parallelism (ILP); the
Simultaneous_multithreading
analysis," by A. Yoo, and I. Kaplan. Proceedings of the 2nd Workshop on Many-Task Computing on Grids and Supercomputers, MTAGS, 2009 "Acquisition of Seisint"
ECL (data-centric programming language)
ECL_(data-centric_programming_language)
Component of a computer process
Passing Interface (MPI)). Some languages are designed for sequential parallelism instead (especially using GPUs), without requiring concurrency or threads
Thread_(computing)
Particular execution of a computer program
processes which can run simultaneously (i.e., using concurrency, or true parallelism – the latter model is a particular case of concurrent execution and is
Process_(computing)
Class of artificial neural networks
data parallelism — where each GPU processes a separate sample — insufficient when individual graphs exceed single-device memory. Graph Parallelism addresses
Graph_neural_network
Visualisation of computer system processes
combined fragments, which are then used to model interactions that include parallelism, conditional branches, and optional interactions. Message sequence chart
Sequence_diagram
Scientific computing program
(2020). "An asynchronous and task-based implementation of peridynamics utilizing HPX—the C++ standard library for parallelism and concurrency". SN Applied
HPX
64-bit extension of the ARM architecture
on SVE's scalable vectorization for increased fine-grain Data Level Parallelism (DLP) to allow more work done per instruction. SVE2 aims are stated in
AArch64
Distributed file system protocol
their Parallel NFS (pNFS) technology claiming to improve data-access parallelism capability. The NFSv4.1 protocol defines a method of separating the filesystem
Network_File_System
Ability of a CPU to provide multiple threads of execution concurrently
become more popular as efforts to further exploit instruction-level parallelism have stalled since the late 1990s. This allowed the concept of throughput
Multithreading (computer architecture)
Multithreading_(computer_architecture)
Machine learning model for speech
SpecAugment, Stochastic Depth, and BPE Dropout. The training used data parallelism with float16, dynamic loss scaling, and activation checkpointing. After
Whisper (speech recognition system)
Whisper_(speech_recognition_system)
Control logic tool developed by MathWorks
established by David Harel, enabling the representation of hierarchy, parallelism and history within a state chart. Stateflow also provides state transition
Stateflow
AMD neural processing unit microarchitecture
parallel with minimal external memory access. This design leverages parallelism and data locality to optimize performance and power efficiency. Each
AMD_XDNA
Warrior in the epic Mahabharata
string the bow by the "breadth of a hair". In the end, Arjuna succeeds in the task, However Karna objects that the competition is only meant for Kshatriyas
Karna
German founder of psychology (1832–1920)
contemporary authors who also favoured parallelism. Instead of being content with the postulate of parallelism, he developed his principles of mental
Wilhelm_Wundt
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TASK PARALLELISM
TASK PARALLELISM
TASK PARALLELISM
TASK PARALLELISM
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TASK PARALLELISM
TASK PARALLELISM
TASK PARALLELISM
TASK PARALLELISM
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