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12 relations: Basic Linear Algebra Subprograms, Big data, Distributed memory, LAPACK, Message passing, Message Passing Interface, MIMD, Parallel computing, Parallel Virtual Machine, PBLAS, Programming with Big Data in R, R (programming language).
Basic Linear Algebra Subprograms
Basic Linear Algebra Subprograms (BLAS) is a specification that prescribes a set of low-level routines for performing common linear algebra operations such as vector addition, scalar multiplication, dot products, linear combinations, and matrix multiplication.
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Big data
Big data is data sets that are so big and complex that traditional data-processing application software are inadequate to deal with them.
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Distributed memory
In computer science, distributed memory refers to a multiprocessor computer system in which each processor has its own private memory.
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LAPACK
LAPACK (Linear Algebra Package) is a standard software library for numerical linear algebra.
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Message passing
In computer science, message passing is a technique for invoking behavior (i.e., running a program) on a computer.
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Message Passing Interface
Message Passing Interface (MPI) is a standardized and portable message-passing standard designed by a group of researchers from academia and industry to function on a wide variety of parallel computing architectures.
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MIMD
In computing, MIMD (multiple instruction, multiple data) is a technique employed to achieve parallelism.
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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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Parallel Virtual Machine
Parallel Virtual Machine (PVM) is a software tool for parallel networking of computers.
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PBLAS
Parallel Basic Linear Algebra Subprograms (PBLAS) is an implementation of Level 2 and 3 BLAS intended for distributed memory architectures.
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Programming with Big Data in R
Programming with Big Data in R (pbdR) is a series of R packages and an environment for statistical computing with big data by using high-performance statistical computation.
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R (programming language)
R is a programming language and free software environment for statistical computing and graphics that is supported by the R Foundation for Statistical Computing.
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