MPI stands for the Message Passing Interface. Written by the MPI Forum (a LARGE committee comprising of a cross-section between industry and research representatives), MPI is a standardized API typically used for parallel and/or distributed computing. The MPI standard is comprised of 2 documents: MPI-1 (published in 1994) and MPI-2 (published in 1996). MPI-2 is, for the most part, additions and extensions to the original MPI-1 specification. The MPI-1 and MPI-2 documents can be downloaded from the official MPI Forum web site: http://www.mpi-forum.org/. Open MPI is an open source, freely available implementation of both the MPI-1 and MPI-2 documents. The Open MPI software achieves high performance the Open MPI project is quite receptive to community input.
標(biāo)簽： comprising MPI Interface committee
上傳時(shí)間： 2013-12-22
上傳用戶(hù)：爺?shù)臍赓|(zhì)
dysii is a C++ library for distributed probabilistic inference and learning in LARGE-scale dynamical systems. It provides methods such as the Kalman, unscented Kalman, and particle filters and smoothers, as well as useful classes such as common probability distributions and stochastic processes.
標(biāo)簽： probabilistic distributed LARGE-scale dynamical
上傳時(shí)間： 2014-01-12
上傳用戶(hù)：wangdean1101
SuperLU is a general purpose library for the direct solution of LARGE, sparse, nonsymmetric systems of linear equations on high performance machines. The library is written in C and is callable from either C or Fortran. The library routines will perform an LU decomposition with partial pivoting and triangular system solves through forward and back substitution. The LU factorization routines can handle non-square matrices but the triangular solves are performed only for square matrices. The matrix columns may be preordered (before factorization) either through library or user supplied routines. This preordering for sparsity is completely separate from the factorization. Working precision iterative refinement subroutines are provided for improved backward stability. Routines are also provided to equilibrate the system, estimate the condition number, calculate the relative backward error, and estimate error bounds for the refined solutions.
標(biāo)簽： nonsymmetric solution SuperLU general
上傳時(shí)間： 2017-02-20
上傳用戶(hù)：lepoke
Modern, LARGE scale, display systems are migrating from traditional technologies such as incandescent, fluorescent and mechanical to sophisticated products based on LEDs. LED displays offer power savings and a superior visual experience in a range of products from programmable signage to LARGE-scale video displays and commercial installations.
標(biāo)簽： technologies traditional incandesc migrating
上傳時(shí)間： 2013-12-19
上傳用戶(hù)：cursor
Visual C++ has been one of most effective tool for the LARGE industrial applications. This book is the best resource I have ever found on Industrial Applications of Visual C++.
標(biāo)簽： applications industrial effective Visual
上傳時(shí)間： 2014-11-27
上傳用戶(hù)：lmeeworm
Ordinal Representation for Biometric Patterns. Very helpful in LARGE number of object to be compared. its sort of ranking based comparison.not quantitative
標(biāo)簽： Representation Biometric Patterns Ordinal
上傳時(shí)間： 2014-05-29
上傳用戶(hù)：bibirnovis
LARGE network creation
標(biāo)簽： creation network LARGE
上傳時(shí)間： 2017-04-24
上傳用戶(hù)：yd19890720
page containing schematics for a very LARGE number of mobile phones
標(biāo)簽： containing schematics number mobile
上傳時(shí)間： 2017-04-25
上傳用戶(hù)：上善若水
it is a program that drive the motor for the PIC18f4520 that support LARGE current
標(biāo)簽： that the current program
上傳時(shí)間： 2017-04-29
上傳用戶(hù)：yiwen213
MG4J (Managing Gigabytes for Java) is a free full-text search engine for LARGE document collections written in Java.
標(biāo)簽： collections Gigabytes for full-text
上傳時(shí)間： 2017-05-11
上傳用戶(hù)：hopy
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