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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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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)
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
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
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
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
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
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
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
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
Type of massively parallel processors
Xetal is the name of a family of non-commercial massively parallel processors developed within Philips Research. The Xetal was conceived in 1999 at Philips
Xetal
Method of improving computer program speed
order to use multiple processors simultaneously in a shared-memory multiprocessor (SMP) machine. Fully automatic parallelization of sequential programs
Automatic_parallelization
Abstract computer for designing parallel algorithms
is used by parallel-algorithm designers to model parallel algorithmic performance (such as time complexity, where the number of processors assumed is
Parallel_RAM
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
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
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
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
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
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
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
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
components: Economic packaging and transportation, Concurrent and parallel processing, and Standardization. There are three levels, moving from operational
Design_for_logistics
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)
Type of extremely powerful computer
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
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
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
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
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
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
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
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
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
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
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
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
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)
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
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
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
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
Topics referred to by the same term
Massively parallel in computing is the use of a large number of processors to perform a set of computations in parallel (simultaneously). Massively parallel may
Massively parallel (disambiguation)
Massively_parallel_(disambiguation)
Sharing of data between running processes in a computer system
interprocess communication (IPC) is the sharing of data between running processes in a computer system, or between multiple such systems. Mechanisms for
Inter-process_communication
Subfield of computer science
science, analysis of parallel algorithms is the process of finding the computational complexity of algorithms executed in parallel – the amount of time
Analysis of parallel algorithms
Analysis_of_parallel_algorithms
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
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
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
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
Computer architecture that utilizes multiple, different processing methods
systems. The presence of multiple processing elements raises all of the issues involved with homogeneous parallel processing systems, while the level of heterogeneity
Heterogeneous_computing
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
Array of logic gates that are reprogrammable
sectors, which benefit from their flexibility, high signal processing speed, and parallel processing abilities. An FPGA configuration is generally written
Field-programmable_gate_array
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
Strategy for system changeover
users will depend solely on the new system. The phrase parallel running can refer to the process of changing a fragment of business information technology
Parallel_running
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
Distributed data processing framework
in a cluster. It then transfers packaged code into nodes to process the data in parallel. This approach takes advantage of data locality, where nodes
Apache_Hadoop
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)
extends the parallel processing capabilities of its main product Mathematica. gridMathematica increases the number of parallel processes that Mathematica
GridMathematica
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
Classification of computer architectures
pipelining, or in parallel by multiple functional units. Flynn's 1972 paper subdivided SIMD down into three further categories: Array processor known today
Flynn's_taxonomy
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
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
Indian series of supercomputers
vashisht lega) 9000 was designed to be merge cluster processing and massively parallel processing computing workloads. It was first demonstrated in 1994
PARAM
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
Programming language
ALGOL 68 supports programming of parallel processing. Using the keyword PAR, a collateral clause is converted to a parallel clause, where the synchronisation
ALGOL_68
Academic journal
Tools and Applications is a peer-reviewed scientific journal on parallel processing, distributed computing systems, and computer communication networks
Cluster_Computing_(journal)
Type of computer chip
Other processors in a tile configuration include SEAforth24, Kilocore KC256, XMOS xCORE microcontrollers, and some massively parallel processor arrays
Tile_processor
Class in computational complexity theory
problems decidable in polylogarithmic time on a parallel computer with a polynomial number of processors. In other words, a problem with input size n is
NC_(complexity)
First massively parallel computer
massively parallel computer. The system was originally designed to have 256 64-bit floating-point units (FPUs) and four central processing units (CPUs)
ILLIAC_IV
By the end of the 20th century, massively parallel supercomputers with thousands of "off-the-shelf" processors similar to those found in personal computers
History_of_supercomputing
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
American computer scientist
is known for his work on the organization of computer systems, on parallel processing and SARA (system architects apprentice). Estrin was born in New York
Gerald_Estrin
Free and open-source job scheduler for Linux and similar computers
Policies on Scheduling Performance. Job Scheduling Strategies for Parallel Processing. Lecture Notes in Computer Science. Vol. 5798. pp. 138–144. doi:10
Slurm_Workload_Manager
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