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Massively parallel

Index Massively parallel

In computing, massively parallel refers to the use of a large number of processors (or separate computers) to perform a set of coordinated computations in parallel (simultaneously). [1]

30 relations: Administrative domain, Berkeley Open Infrastructure for Network Computing, Cellular automaton, Central processing unit, Computer cluster, Computer performance, Computing, Connection Machine, CUDA, Data warehouse appliance, Embarrassingly parallel, Goodyear MPP, Grid computing, InfiniBand, Manycore processor, Massively parallel processor array, Microsoft, Multiprocessing, Netezza, Parallel computing, Process-oriented programming, Processor (computing), Random-access memory, Shared-nothing architecture, Supercomputer, Symmetric multiprocessing, Teradata, Torus interconnect, Vector processor, Volunteer computing.

Administrative domain

An administrative domain is a service provider holding a security repository permitting to easily authenticate and authorize clients with credentials.

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Berkeley Open Infrastructure for Network Computing

The Berkeley Open Infrastructure for Network Computing (BOINC, pronounced – rhymes with "oink"), an open-source middleware system, supports volunteer and grid computing.

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Cellular automaton

A cellular automaton (pl. cellular automata, abbrev. CA) is a discrete model studied in computer science, mathematics, physics, complexity science, theoretical biology and microstructure modeling.

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Central processing unit

A central processing unit (CPU) is the electronic circuitry within a computer that carries out the instructions of a computer program by performing the basic arithmetic, logical, control and input/output (I/O) operations specified by the instructions.

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Computer cluster

A computer cluster is a set of loosely or tightly connected computers that work together so that, in many respects, they can be viewed as a single system.

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Computer performance

Computer performance is the amount of work accomplished by a computer system.

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Computing is any goal-oriented activity requiring, benefiting from, or creating computers.

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Connection Machine

A Connection Machine (CM) is a member of a series of massively parallel supercomputers that grew out of doctoral research on alternatives to the traditional von Neumann architecture of computers by Danny Hillis at the Massachusetts Institute of Technology (MIT) in the early 1980s.

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CUDA is a parallel computing platform and application programming interface (API) model created by Nvidia.

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Data warehouse appliance

In computing, the term data warehouse appliance (DWA) was coined by Foster Hinshaw for a computer architecture for data warehouses (DW) specifically marketed for big data analysis and discovery that is simple to use (not a pre-configuration) and high performance for the workload.

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Embarrassingly parallel

In parallel computing, an embarrassingly parallel workload or problem (also called perfectly parallel or pleasingly parallel) is one where little or no effort is needed to separate the problem into a number of parallel tasks.

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Goodyear MPP

The Goodyear Massively Parallel Processor (MPP) was a massively parallel processing supercomputer built by Goodyear Aerospace for the NASA Goddard Space Flight Center.

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Grid computing

Grid computing is the collection of computer resources from multiple locations to reach a common goal.

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InfiniBand (abbreviated IB) is a computer-networking communications standard used in high-performance computing that features very high throughput and very low latency.

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Manycore processor

Manycore processors are specialist multi-core processors designed for a high degree of parallel processing, containing a large number of simpler, independent processor cores (e.g. 10s, 100s, or 1,000s).

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Massively parallel processor array

A 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 of hundreds or thousands of CPUs and RAM memories.

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Microsoft Corporation (abbreviated as MS) is an American multinational technology company with headquarters in Redmond, Washington.

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Multiprocessing is the use of two or more central processing units (CPUs) within a single computer system.

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IBM Netezza (pronounced ne-teez-a) designs and markets high-performance data warehouse appliances and advanced analytics applications for uses including enterprise data warehousing, business intelligence, predictive analytics and business continuity planning.

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Parallel computing

Parallel computing is a type of computation in which many calculations or the execution of processes are carried out concurrently.

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Process-oriented programming

Process-oriented programming is a programming paradigm that separates the concerns of data structures and the concurrent processes that act upon them.

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Processor (computing)

In computing, a processor or processing unit is an electronic circuit which performs operations on some external data source, usually memory or some other data stream.

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Random-access memory

Random-access memory (RAM) is a form of computer data storage that stores data and machine code currently being used.

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Shared-nothing architecture

A shared-nothing architecture (SN) is a distributed-computing architecture in which each node is independent and self-sufficient, and there is no single point of contention across the system.

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A supercomputer is a computer with a high level of performance compared to a general-purpose computer.

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Symmetric multiprocessing

Symmetric multiprocessing (SMP) involves a multiprocessor computer hardware and software architecture where two or more identical processors are connected to a single, shared main memory, have full access to all input and output devices, and are controlled by a single operating system instance that treats all processors equally, reserving none for special purposes.

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Teradata Corporation is a provider of database and analytics-related products and services.

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Torus interconnect

A torus interconnect is a switch-less network topology for connecting processing nodes in a parallel computer system.

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Vector processor

In computing, a vector processor or array processor is a central processing unit (CPU) that implements an instruction set containing instructions that operate on one-dimensional arrays of data called vectors, compared to scalar processors, whose instructions operate on single data items.

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Volunteer computing

Volunteer computing is a type of distributed computing, "an arrangement in which people, so-called volunteers, provide computing resources to projects, which use the resources to do distributed computing and/or storage".

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[1] https://en.wikipedia.org/wiki/Massively_parallel

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