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Programming paradigm in which many processes are executed simultaneously
Parallel computing is a type of computation in which many calculations or processes are carried out simultaneously. Large problems can often be divided
Parallel_computing
Phenomenon noted in clinical supervision of therapy
Parallel process is a phenomenon noted in clinical supervision by therapist and supervisor, whereby the therapist recreates, or parallels, the client's
Parallel_process
Topics referred to by the same term
Parallel processing may refer to: Parallel computing Parallel processing (DSP implementation), parallel processing in digital signal processing Parallel
Parallel_processing
How individuals react to fear-inducing messages
The extended parallel process model (EPPM) is a fear appeal theory developed by communications scholar Kim Witte that illustrates how individuals react
Extended parallel process model
Extended_parallel_process_model
Use of many processors to perform simultaneous operations
Massively parallel is the term for using a large number of computer processors (or separate computers) to simultaneously perform a set of coordinated computations
Massively_parallel
In digital signal processing (DSP), parallel processing is a technique duplicating function units to operate different tasks (signals) simultaneously
Parallel processing (DSP implementation)
Parallel_processing_(DSP_implementation)
Brain processing function
psychology, parallel processing is the ability of the brain to simultaneously process incoming stimuli of differing quality. Parallel processing is associated
Parallel processing (psychology)
Parallel_processing_(psychology)
Type of integrated circuit
massively parallel processor array, also known as a multi purpose processor array (MPPA) is a type of integrated circuit which has a massively parallel array
Massively parallel processor array
Massively_parallel_processor_array
Diagram that represents a workflow or process
are: Parallel Mode is represented by two horizontal lines at the beginning or ending of simultaneous operations For parallel and concurrent processing the
Flowchart
Academic journal
Parallel Processing Letters is a journal published by World Scientific since 1991. It covers the field of parallel processing, including topics such as
Parallel_Processing_Letters
Bulk computation architecture
content-addressable parallel processor (CAPP) a.k.a. in Flynn's 1972 taxonomy as an associative processor is a type of parallel processor which uses content-addressing
Content-addressable parallel processor
Content-addressable_parallel_processor
Motivation and marketing device employing fear
extended parallel process model differs from many other fear appeal arguments because it suggests that fear arousal and danger control processes are distinct
Fear_appeal
The Parallel Element Processing Ensemble (PEPE) was one of the very early parallel computing systems. Bell began researching the concept in the mid-1960s
Parallel Element Processing Ensemble
Parallel_Element_Processing_Ensemble
Time used by a computer
On multi-processor and multi-core machines, a program can use two or more processors simultaneously in what is called parallel processing. In such situations
CPU_time
Abstraction of parallel computer architecture
Classifications of parallel programming models can be divided broadly into two areas: process interaction and problem decomposition. Process interaction relates
Parallel_programming_model
Computer programming paradigm
floating-point units, graphics processing units, and field-programmable gate arrays. The stream processing paradigm simplifies parallel software and hardware by
Stream_processing
Video compression format, succeeds H.264/MPEG-4 AVC
264/MPEG-4 AVC was support for higher resolution video and improved parallel processing methods. HEVC is targeted at next-generation HDTV displays and content
High_Efficiency_Video_Coding
In parallel computing, the Geometric Arithmetic Parallel Processor (GAPP), invented by Polish mathematician Włodzimierz Holsztyński in 1981, was patented
Geometric Arithmetic Parallel Processor
Geometric_Arithmetic_Parallel_Processor
The International Parallel and Distributed Processing Symposium (or IPDPS) is an annual conference for engineers and scientists to present recent findings
International Parallel and Distributed Processing Symposium
International_Parallel_and_Distributed_Processing_Symposium
Software tool for parallel networking of computers
heterogeneous Unix and/or Windows machines to be used as a single distributed parallel processor. Thus large computational problems can be solved more cost effectively
Parallel_Virtual_Machine
Problem easily dividable into parallel tasks
A common example of an embarrassingly parallel problem is 3D video rendering handled by a graphics processing unit, where each frame (forward method)
Embarrassingly_parallel
Undirected cubic graph derived from a hypercube graph
processor. Preparata and Vuillemin showed that a planar layout based on this network has optimal area × time2 complexity for many parallel processing
Cube-connected_cycles
Instruction set architecture
& Gluck, Frederick G., "Parallel processing method and apparatus for increasing processing throughout by parallel processing low level instructions having
Explicitly parallel instruction computing
Explicitly_parallel_instruction_computing
Programming paradigm
decomposed into parallel processes that create and act upon logically shared data. The paradigm was originally invented for parallel computers in the
Process-oriented_programming
Message-passing system for parallel computers
it has become a de facto standard for communication among processes that model a parallel program running on a distributed memory system. Actual distributed
Message_Passing_Interface
DNA sequencing using the concept of massively parallel processing
Massively parallel sequencing (MPS) is any of several high-throughput approaches to DNA sequencing using the concept of massively parallel processing; it is
Massively_parallel_sequencing
Sequence in computer science
single processor this algorithm would run in O(n log n) time. However, if the machine has at least n processors to perform the inner loop in parallel, the
Prefix_sum
Central computer component that executes instructions
A central processing unit (CPU), also known as a central processor, main processor, or simply processor, is the primary processor in a given computer
Central_processing_unit
Algorithm which can do multiple operations in a given time
take. Parallel algorithms need to optimize one more resource, the communication between different processors. There are two ways parallel processors communicate
Parallel_algorithm
Type of program in computer graphics
graphics processing units (GPUs) - dedicated hardware which provide parallel execution of programs. Because image rendering is an embarrassingly parallel problem
Shader
Cognitive science approach
second wave blossomed in the late 1980s, following a 1987 book Parallel Distributed Processing by James L. McClelland, David E. Rumelhart, et al., which introduced
Connectionism
Type of parallel processing
data (SIMD) is a type of parallel computing (processing) in Flynn's taxonomy. SIMD describes computers with multiple processing elements that perform the
Single instruction, multiple data
Single_instruction,_multiple_data
Process for increasing the performance between two systems solving the same problem
was established by Amdahl's law, which was particularly focused on parallel processing. However, speedup can be used more generally to show the effect on
Speedup
American computing vendor
made real-time computing and parallel processing systems. Its products powered a variety of applications including process control, simulators, data acquisition
Concurrent Computer Corporation
Concurrent_Computer_Corporation
Multi-core processor with a large number of cores
Manycore processors are special kinds of multi-core processors designed for a high degree of parallel processing, containing numerous simpler, independent
Manycore_processor
Engineering discipline specializing in the design of computer hardware
high-performance computer systems. Projects such as designing processors for multithreading and parallel processing are included in this field. Other examples of work
Computer_engineering
brightness distribution. For faster applications, matrix sensors with parallel processing were developed. Both line by line and in columns, the density of
Position_sensitive_device
Standard syntax for querying JSON values
for JSONPath as RFC 9535. Scalable Processing of Contemporary Semi-Structured Data on Commodity Parallel Processors - A Compilation-based Approach describes
JSONPath
Type of computer with high performance
1990s. From then until today, massively parallel supercomputers with tens of thousands of off-the-shelf processors became the norm. The U.S. has long been
Supercomputer
Measure of the amount of work needed to perform a computing task
responsible for processing the stack of 20 images, 5 images can be processed in parallel with 4 processors working on each image. If 100 processors were available
Granularity (parallel computing)
Granularity_(parallel_computing)
Use of a GPU for computations typically assigned to CPUs
processing unit (CPU). The use of multiple video cards in one computer, or large numbers of graphics chips, further parallelizes the already parallel
General-purpose computing on graphics processing units
General-purpose_computing_on_graphics_processing_units
Graphical representation for specifying business processes
Business Process Model and Notation (BPMN) is a graphical representation for specifying business processes in a business process model. Originally developed
Business Process Model and Notation
Business_Process_Model_and_Notation
System with multiple networked computers
characterized both as "parallel" and "distributed"; the processors in a typical distributed system run concurrently in parallel. Parallel computing may be seen
Distributed_computing
Model in social psychology
processed. On the other hand, parallel processing allows for multiple items to be processed simultaneously, but the time required for such processing
Continuum model of impression formation
Continuum_model_of_impression_formation
Use of two or more central processing units (CPUs) within one computer system
only one processor but switch it in time slices between tasks (i.e., a time-sharing system). In contrast, multiprocessing means true parallel execution
Multiprocessing
Particular execution of a computer program
single process with a main program, and child processes with any spin-off, parallel processes, which behave like asynchronous subroutines. A process is said
Process_(computing)
support strong consistency if: All accesses are seen by all parallel processes (or nodes, processors, etc.) in the same order (sequentially) Therefore, only
Strong_consistency
Microprocessor with more than one processing unit
Adaptability within parallel models is an additional feature of systems utilizing these protocols. In the consumer market, dual-core processors (that is, microprocessors
Multi-core_processor
Parallel processing technique
name "packed SIMD" is a technique for performing parallel operations on data contained in a processor register. SIMD stands for single instruction, multiple
SWAR
Database system utilizing parallelization
performance considerations. Parallel databases improve processing and input/output speeds by using multiple CPUs and disks in parallel. Centralized and client–server
Parallel_database
Parallel software library for linear algebra
Although it is designed for parallel computers, the library can be used without being conscious of parallel processing. Lis provides facilities for:
Lis_(linear_algebra_library)
American computer hardware manufacturer (1970–1991)
transputers and Weitek floating-point processors was introduced. The T stood for "Tesseract". Unfortunately, parallel processing was still in its infancy and the
Floating_Point_Systems
Fortran parallel programming extension
formerly known as F--, started as an extension of Fortran 95/2003 for parallel processing created by Robert Numrich and John Reid in the 1990s. The Fortran
Coarray_Fortran
Computational system in which data are sent one bit at a time down a wire
number, N serial processors will often take less FPGA area and have a higher total performance than a single N-bit parallel processor. Serial computer
Bit-serial_architecture
Model of computation
signal processing systems where infinite streams of data are incrementally transformed by processes executing in sequence or parallel. Despite parallel processes
Kahn_process_networks
System of neural circuits in the brain
originally proposed as a part of a model of the basal ganglia called the parallel processing model, which has been criticized and modified into another model
Cortico-basal ganglia-thalamo-cortical loop
Cortico-basal_ganglia-thalamo-cortical_loop
Digital processing technique
Parallel multidimensional digital signal processing (mD-DSP) is defined as the application of parallel programming and multiprocessing to digital signal
Parallel multidimensional digital signal processing
Parallel_multidimensional_digital_signal_processing
Linear-time, analog algorithm for sorting a sequence of items
items requiring O(n) stack space in a stable manner. It requires a parallel processor, which is assumed to be able to find the maximum of a sequence of
Spaghetti_sort
Parallelization across multiple processors in parallel computing environments
Data parallelism is parallelization across multiple processors in parallel computing environments. It focuses on distributing the data across different
Data_parallelism
psychology, parallel constraint satisfaction processes (PCSP) is a model of human behavior that integrates connectionism, neural networks, and parallel distributed
Parallel constraint satisfaction processes
Parallel_constraint_satisfaction_processes
Model for designing parallel algorithms
bulk synchronous parallel (BSP) abstract computer is a bridging model for designing parallel algorithms. It is similar to the parallel random access machine
Bulk_synchronous_parallel
Process of understanding speech
interactive processing and serial versus parallel computation of analyses have been theoretical divides in the field. A modular view of sentence processing assumes
Sentence_processing
The process requires careful planning and control and a significant investment in labor hours. This entry focuses on the generic process of parallel adoption
Parallel_adoption
Specialized electronic circuit that accelerates graphics
number of on-silicon processor core units within the GPU chip that perform the core calculations, typically working in parallel with other SM/CUs on the
Graphics_processing_unit
Process to determine relationships among statements
organized to allow multiple processors to work on different portions of the loop in parallel. This is known as parallel processing. In general, loops can consume
Loop_dependence_analysis
Computer architecture to aid parallelism
raise hardware complexity. Before executing any operations in parallel, the processor must verify that the instructions have no interdependencies. For
Very_long_instruction_word
components: Economic packaging and transportation, Concurrent and parallel processing, and Standardization. There are three levels, moving from operational
Design_for_logistics
Measure of parallelisation of code in parallel processor systems
The Karp–Flatt metric is a measure of parallelization of code in parallel processor systems. This metric exists in addition to Amdahl's law and Gustafson's
Karp–Flatt_metric
Increasing execution speed and reducing the overheads associated with loops
role in improving cache performance and making effective use of parallel processing capabilities. Most execution time of a scientific program is spent
Loop_optimization
Ability of computer instructions to be executed simultaneously with correct results
step of this parallel execution. ILP must not be confused with concurrency. In ILP, there is a single specific thread of execution of a process. On the other
Instruction-level_parallelism
and in the health risk field. Witte is the developer of the Extended Parallel Process Model. Witte's model is a guideline that researchers use to predict
Kim_Witte
Topics referred to by the same term
Magnetic Power Profile (MPP) Massive parallel processing Goodyear MPP or Goodyear Massively Parallel Processor MPP (file format), of Microsoft Project
MPP
2017 paper conceptualizing the transformer-based deep learning architecture
at different steps. Multi-head attention enhances this process by introducing multiple parallel attention heads. Each attention head learns different linear
Attention_Is_All_You_Need
Formal model in concurrency theory
CSP allows component processes to be defined both as sequential processes and as the parallel composition of more primitive processes. The relationships
Communicating sequential processes
Communicating_sequential_processes
Specialized digital signal processor used for image processing
digital signal processor (DSP) used for image processing, in digital cameras or other devices. Image processors often employ parallel computing even with
Image_processor
Sharing of data between running processes in a computer system
ratio in parallel program designand performance prediction. pp. 238–245. ISBN 0-8186-3200-3. "Interprocess Communications". "Inter-process communications
Inter-process_communication
Software system
has a massively parallel processing (MPP) framework based on a shared-everything environment that supports distributed query processing. Most other products
SAP_IQ
1982 Japanese initiative to develop advanced computers
programming language to define and access the data using massively parallel computing/processing. They envisioned building a prototype machine with performance
Fifth Generation Computer Systems
Fifth_Generation_Computer_Systems
Parallel computing algorithm
executed in parallel with its other work. These new items are initially put on the queue of the processor executing the work item. When a processor runs out
Work_stealing
Sorting algorithm
relatively simple sorting algorithm, developed originally for use on parallel processors with local interconnections. It is a comparison sort related to bubble
Odd–even_sort
Abstract data type in computer science
model, the graph representations used for parallel processing are the same as in the sequential case, since parallel read-only access to the graph representation
Graph_(abstract_data_type)
Diagram used to visualize the structure of a computer program
performed. The test last loop allows for the process blocks to be performed at least once before the first test. Parallel execution can be drawn like this: Drakon-chart
Nassi–Shneiderman_diagram
Indian-American businessman (born 1944)
semiconductor company. Patil's work has covered computer architecture, parallel processing computers, very-large-scale integration devices, and integrated circuit
Suhas_Patil
Phenomenon in parallel computing
completion). Parallel slowdown is typically the result of a communications bottleneck. As more processor nodes are added, each processing node spends progressively
Parallel_slowdown
Chart displaying multivariate data
be considered as part of data preparation process that can reveal more informative views. A smooth parallel coordinate plot is achieved with splines.
Parallel_coordinates
Job scheduling method in computing
In parallel processing, the Hilbert curve scheduling method turns a multidimensional task allocation problem into a one-dimensional space filling problem
Hilbert_curve_scheduling
Programming language
The parallel features of SuperPascal are a subset of occam 2, with the added generality of dynamic process arrays and recursive parallel processes. A parallel
SuperPascal
Provider of Integrated Data Warehouse Hardware and Software
(AWS). This offering uses the actual AMPP (Asymmetric Massively Parallel Processing) Netezza Hardware, not commodity hardware running Netezza software
Netezza
Software company
2010-06-13. Retrieved 2010-05-04. "Parallel Processing in Ada", David Parker, April 1989, webpage: CNavy-12. "Parallel Processing in Ada", David Parker, April
Alsys
Aerospace Corporation. It is a content-addressable parallel processor (CAPP), a type of parallel processor which uses content-addressable memory. STARAN is
STARAN
Set of computers configured in a distributed computing system
supported parallel computing, but also shared file systems and peripheral devices. The idea was to provide the advantages of parallel processing, while maintaining
Computer_cluster
Early operating system for IBM 704
those days by GM for automotive production line design on how to make parallel processes fit together. The main function of GM-NAA I/O was to automatically
GM-NAA_I/O
Research project at Microsoft
runtime for execution of data parallel applications. The research prototypes of the Dryad and DryadLINQ data-parallel processing frameworks are available in
Dryad_(programming)
Cloud-based data warehouse service
Web Services. It is built on top of technology from the massive parallel processing (MPP) data warehouse company ParAccel (later acquired by Actian)
Amazon_Redshift
Computing technique used to achieve parallelism
data-parallel approach where the parallel tasks ("single program") are split-up and run simultaneously in lockstep on multiple SIMD processors with different
Single_program,_multiple_data
American computer scientist (1935–2019)
were the: Massively Parallel Processor (16,384 custom bit-serial processors {8 to a chip} organized in a SIMD 128 x 128 processor array with additional
Ken_Batcher
Sorting algorithm
sorting algorithm that is a divide and conquer algorithm often used in parallel processing systems. Conventional divide and conquer sorting algorithms partitions
Samplesort
dynamics and aerospace engineering. The Flosolver MK1, described as a parallel processing system, started operations in December 1986. In 1987, the Indian
Supercomputing_in_India
Theory of brain function
a non-word without semantic context. McClelland and Rumelhart's parallel processing model describes perception as the meeting of top-down (conceptual)
Predictive_coding
Delivery of data packets in a different order from which they were sent
retransmission procedures (such as automatic repeat request), or via parallel processing paths within network equipment that are not designed to ensure that
Out-of-order_delivery
travel, tourism, insurance
PARALLEL PROCESS
PARALLEL PROCESS
PARALLEL PROCESS
PARALLEL PROCESS
PARALLEL PROCESS
PARALLEL PROCESS
PARALLEL PROCESS
PARALLEL PROCESS
PARALLEL PROCESS
travel, tourism, insurance