Return to site

Motrix 1 3 8 Download Free

broken image


Contact us get the lastest news

  1. 1 3/8 In Decimal
  2. Motrix Mac
  3. Motrix 1 3 8 Download Free Youtube Downloader

Presentation:

Download Unturned 3.20.8.0 for Windows. Remain among the living in Unturned. 6.0 development 5.4 latest stable 5.3 5.2 5.1 5.0 4.3 4.2 Books Migration guides Roadmap Tooling Envers Contribute Paid support FAQ Source code Issue tracker Security issue Forum Wiki CI.

The BLAS (Basic Linear Algebra Subprograms) are routines that provide standard building blocks for performing basic vector and matrix operations. The Level 1 BLAS perform scalar, vector and vector-vector operations, the Level 2 BLAS perform matrix-vector operations, and the Level 3 BLAS perform matrix-matrix operations. Because the BLAS are efficient, portable, and widely available, they are commonly used in the development of high quality linear algebra software, LAPACK for example.

Acknowledgments:

This material is based upon work supported by the National Science Foundation under Grant No. ASC-9313958 and DOE Grant No. DE-FG03-94ER25219. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation (NSF) or the Department of Energy (DOE).

History

Discover the great history behind BLAS. On April 2004 an oral history interview was conducted as part of the SIAM project on the history of software for scientific computing and numerical analysis. This interview is being conducted with Professor Jack Dongarra in his office at the University of Tennessee. The interviewer is Thomas Haigh.
Download Interview
Enjoy!

Software:

Licensing:

Motrix 1 3 8 Download Free

The reference BLAS is a freely-available software package. It is available from netlib via anonymous ftp and the World Wide Web. Thus, it can be included in commercial software packages (and has been). We only ask that proper credit be given to the authors.

Like all software, it is copyrighted. It is not trademarked, but we do ask the following:

  • If you modify the source for these routines we ask that you change the name of the routine and comment the changes made to the original.

  • We will gladly answer any questions regarding the software. If a modification is done, however, it is the responsibility of the person who modified the routine to provide support.

REFERENCE BLAS Version 3.8.0

  • Download blas-3.8.0.tgz

  • Updated November 2017

CBLAS

Level 3 BLAS tuned for single processors with caches

  • Downlaod ssgemmbased.tgz

  • Written by Kagstrom B., Ling P., and Van Loan C.

  • High Performance GEMM-Based Level-3 BLAS Webpage - Fortran (High Performance Computing II, 1991, North-Holland)

Extended precision Level 2 BLAS routines

BLAS for windows

The reference BLAS is included inside the LAPACK package. Please refer tools built under Windows using Cmake the cross-platform, open-source build system. The new build system was developed in collaboration with Kitware Inc.

A dedicated website (http://icl.cs.utk.edu/lapack-for-windows/lapack/) is available for Windows users.

  • You will find information about your configuration need.

  • You will be able to download BLAS pre-built libraries.

GIT Access

The LAPACK GIT (http://github.com/Reference-LAPACK) repositories are to open for read-only for our users. The latest version of BLAS is included in LAPACK package.

  • lapack - LAPACK development repository : http://github.com/Reference-LAPACK/lapack

  • lapack-release - LAPACK official release branches : http://github.com/Reference-LAPACK/lapack-release

  • lapack-www - LAPACK website : http://github.com/Reference-LAPACK/lapack-www

Please use our LAPACK development repository to get the latest bug fixed, submit issues or pull requests.

The netlib family and its cousins

Basic Linear Algebra Subprograms (BLAS)

CLAPACK (no longer maintained)

EISPACK (no longer maintained)

Support

If you have any issue (install, performance), just post your questions on the the LAPACK User Forum. You can also send us an email at lapack@icl.utk.edu

1 3/8 In Decimal

Documentation

BLAS Technical Forum

The BLAS Technical Forum standard is a specification of a set of kernel routines for linear algebra, historically called the Basic Linear Algebra Subprograms. http://www.netlib.org/blas/blast-forum/

Optimized BLAS Library

Machine-specific optimized BLAS libraries are available for a variety of computer architectures. These optimized BLAS libraries are provided by the computer vendor or by an independent software vendor (ISV) . For further details, please see our FAQs.

Alternatively, the user can download ATLAS to automatically generate an optimized BLAS library for his architecture. Some prebuilt optimized BLAS libraries are also available from the ATLAS site.

If all else fails, the user can download a Fortran77 reference implementation of the BLAS from netlib. However, keep in mind that this is a reference implementation and is not optimized.

BLAS vendor library List Last updated: July 20, 2005

BLAS Routines

LEVEL 1

  • SINGLE

    • SROTG - setup Givens rotation

    • SROTMG - setup modified Givens rotation

    • SROT - apply Givens rotation

    • SROTM - apply modified Givens rotation

    • SSWAP - swap x and y

    • SSCAL - x = a*x

    • SCOPY - copy x into y

    • SAXPY - y = a*x + y

    • SDOT - dot product

    • SDSDOT - dot product with extended precision accumulation

    • SNRM2 - Euclidean norm

    • SCNRM2- Euclidean norm

    • SASUM - sum of absolute values

    • ISAMAX - index of max abs value

  • DOUBLE

    • DROTG - setup Givens rotation

    • Wolf forms 2 2 1 – create php web forms. DROTMG - setup modified Givens rotation

    • DROT - apply Givens rotation

    • DROTM - apply modified Givens rotation

    • DSWAP - swap x and y

    • DSCAL - x = a*x

    • DCOPY - copy x into y

    • DAXPY - y = a*x + y Boom 3d 1 3 4 player games.

    • DDOT - dot product

    • DSDOT - dot product with extended precision accumulation

    • DNRM2 - Euclidean norm

    • DZNRM2 - Euclidean norm

    • DASUM - sum of absolute values

    • IDAMAX - index of max abs value

  • COMPLEX

    • CROTG - setup Givens rotation

    • CSROT - apply Givens rotation

    • CSWAP - swap x and y

    • CSCAL - x = a*x

    • CSSCAL - x = a*x

    • CCOPY - copy x into y

    • CAXPY - y = a*x + y

    • CDOTU - dot product

    • CDOTC - dot product, conjugating the first vector

    • SCASUM - sum of absolute values

    • ICAMAX - index of max abs value

  • DOUBLE COMLPEX

    • ZROTG - setup Givens rotation

    • ZDROTF - apply Givens rotation

    • ZSWAP - swap x and y

    • ZSCAL - x = a*x

    • ZDSCAL - x = a*x

    • ZCOPY - copy x into y

    • ZAXPY - y = a*x + y

    • ZDOTU - dot product

    • ZDOTC - dot product, conjugating the first vector

    • DZASUM - sum of absolute values

    • IZAMAX - index of max abs value

Motrix Mac

Free

The reference BLAS is a freely-available software package. It is available from netlib via anonymous ftp and the World Wide Web. Thus, it can be included in commercial software packages (and has been). We only ask that proper credit be given to the authors.

Like all software, it is copyrighted. It is not trademarked, but we do ask the following:

  • If you modify the source for these routines we ask that you change the name of the routine and comment the changes made to the original.

  • We will gladly answer any questions regarding the software. If a modification is done, however, it is the responsibility of the person who modified the routine to provide support.

REFERENCE BLAS Version 3.8.0

  • Download blas-3.8.0.tgz

  • Updated November 2017

CBLAS

Level 3 BLAS tuned for single processors with caches

  • Downlaod ssgemmbased.tgz

  • Written by Kagstrom B., Ling P., and Van Loan C.

  • High Performance GEMM-Based Level-3 BLAS Webpage - Fortran (High Performance Computing II, 1991, North-Holland)

Extended precision Level 2 BLAS routines

BLAS for windows

The reference BLAS is included inside the LAPACK package. Please refer tools built under Windows using Cmake the cross-platform, open-source build system. The new build system was developed in collaboration with Kitware Inc.

A dedicated website (http://icl.cs.utk.edu/lapack-for-windows/lapack/) is available for Windows users.

  • You will find information about your configuration need.

  • You will be able to download BLAS pre-built libraries.

GIT Access

The LAPACK GIT (http://github.com/Reference-LAPACK) repositories are to open for read-only for our users. The latest version of BLAS is included in LAPACK package.

  • lapack - LAPACK development repository : http://github.com/Reference-LAPACK/lapack

  • lapack-release - LAPACK official release branches : http://github.com/Reference-LAPACK/lapack-release

  • lapack-www - LAPACK website : http://github.com/Reference-LAPACK/lapack-www

Please use our LAPACK development repository to get the latest bug fixed, submit issues or pull requests.

The netlib family and its cousins

Basic Linear Algebra Subprograms (BLAS)

CLAPACK (no longer maintained)

EISPACK (no longer maintained)

Support

If you have any issue (install, performance), just post your questions on the the LAPACK User Forum. You can also send us an email at lapack@icl.utk.edu

1 3/8 In Decimal

Documentation

BLAS Technical Forum

The BLAS Technical Forum standard is a specification of a set of kernel routines for linear algebra, historically called the Basic Linear Algebra Subprograms. http://www.netlib.org/blas/blast-forum/

Optimized BLAS Library

Machine-specific optimized BLAS libraries are available for a variety of computer architectures. These optimized BLAS libraries are provided by the computer vendor or by an independent software vendor (ISV) . For further details, please see our FAQs.

Alternatively, the user can download ATLAS to automatically generate an optimized BLAS library for his architecture. Some prebuilt optimized BLAS libraries are also available from the ATLAS site.

If all else fails, the user can download a Fortran77 reference implementation of the BLAS from netlib. However, keep in mind that this is a reference implementation and is not optimized.

BLAS vendor library List Last updated: July 20, 2005

BLAS Routines

LEVEL 1

  • SINGLE

    • SROTG - setup Givens rotation

    • SROTMG - setup modified Givens rotation

    • SROT - apply Givens rotation

    • SROTM - apply modified Givens rotation

    • SSWAP - swap x and y

    • SSCAL - x = a*x

    • SCOPY - copy x into y

    • SAXPY - y = a*x + y

    • SDOT - dot product

    • SDSDOT - dot product with extended precision accumulation

    • SNRM2 - Euclidean norm

    • SCNRM2- Euclidean norm

    • SASUM - sum of absolute values

    • ISAMAX - index of max abs value

  • DOUBLE

    • DROTG - setup Givens rotation

    • Wolf forms 2 2 1 – create php web forms. DROTMG - setup modified Givens rotation

    • DROT - apply Givens rotation

    • DROTM - apply modified Givens rotation

    • DSWAP - swap x and y

    • DSCAL - x = a*x

    • DCOPY - copy x into y

    • DAXPY - y = a*x + y Boom 3d 1 3 4 player games.

    • DDOT - dot product

    • DSDOT - dot product with extended precision accumulation

    • DNRM2 - Euclidean norm

    • DZNRM2 - Euclidean norm

    • DASUM - sum of absolute values

    • IDAMAX - index of max abs value

  • COMPLEX

    • CROTG - setup Givens rotation

    • CSROT - apply Givens rotation

    • CSWAP - swap x and y

    • CSCAL - x = a*x

    • CSSCAL - x = a*x

    • CCOPY - copy x into y

    • CAXPY - y = a*x + y

    • CDOTU - dot product

    • CDOTC - dot product, conjugating the first vector

    • SCASUM - sum of absolute values

    • ICAMAX - index of max abs value

  • DOUBLE COMLPEX

    • ZROTG - setup Givens rotation

    • ZDROTF - apply Givens rotation

    • ZSWAP - swap x and y

    • ZSCAL - x = a*x

    • ZDSCAL - x = a*x

    • ZCOPY - copy x into y

    • ZAXPY - y = a*x + y

    • ZDOTU - dot product

    • ZDOTC - dot product, conjugating the first vector

    • DZASUM - sum of absolute values

    • IZAMAX - index of max abs value

Motrix Mac

LEVEL 2

  • Single

    • SGEMV - matrix vector multiply

    • SGBMV - banded matrix vector multiply

    • SSYMV - symmetric matrix vector multiply

    • SSBMV - symmetric banded matrix vector multiply

    • SSPMV - symmetric packed matrix vector multiply

    • STRMV - triangular matrix vector multiply

    • STBMV - triangular banded matrix vector multiply

    • STPMV - triangular packed matrix vector multiply

    • STRSV - solving triangular matrix problems

    • STBSV - solving triangular banded matrix problems

    • STPSV - solving triangular packed matrix problems

    • SGER - performs the rank 1 operation A := alpha*x*y' + A

    • SSYR - performs the symmetric rank 1 operation A := alpha*x*x' + A

    • SSPR - symmetric packed rank 1 operation A := alpha*x*x' + A

    • SSYR2 - performs the symmetric rank 2 operation, A := alpha*x*y' + alpha*y*x' + A

    • SSPR2 - performs the symmetric packed rank 2 operation, A := alpha*x*y' + alpha*y*x' + A

  • Double

    • DGEMV - matrix vector multiply

    • DGBMV - banded matrix vector multiply

    • DSYMV - symmetric matrix vector multiply

    • DSBMV - symmetric banded matrix vector multiply

    • DSPMV - symmetric packed matrix vector multiply

    • DTRMV - triangular matrix vector multiply

    • DTBMV - triangular banded matrix vector multiply

    • DTPMV - triangular packed matrix vector multiply

    • DTRSV - solving triangular matrix problems

    • DTBSV - solving triangular banded matrix problems

    • DTPSV - solving triangular packed matrix problems

    • DGER - performs the rank 1 operation A := alpha*x*y' + A

    • DSYR - performs the symmetric rank 1 operation A := alpha*x*x' + A

    • DSPR - symmetric packed rank 1 operation A := alpha*x*x' + A

    • DSYR2 - performs the symmetric rank 2 operation, A := alpha*x*y' + alpha*y*x' + A

    • DSPR2 - performs the symmetric packed rank 2 operation, A := alpha*x*y' + alpha*y*x' + A

  • Complex

    • CGEMV - matrix vector multiply

    • CGBMV - banded matrix vector multiply

    • CHEMV - hermitian matrix vector multiply

    • CHBMV - hermitian banded matrix vector multiply

    • CHPMV - hermitian packed matrix vector multiply

    • CTRMV - triangular matrix vector multiply

    • CTBMV - triangular banded matrix vector multiply

    • CTPMV - triangular packed matrix vector multiply

    • CTRSV - solving triangular matrix problems

    • CTBSV - solving triangular banded matrix problems

    • CTPSV - solving triangular packed matrix problems

    • CGERU - performs the rank 1 operation A := alpha*x*y' + A

    • CGERC - performs the rank 1 operation A := alpha*x*conjg( y' ) + A

    • CHER - hermitian rank 1 operation A := alpha*x*conjg(x') + A

    • CHPR - hermitian packed rank 1 operation A := alpha*x*conjg( x' ) + A

    • CHER2 - hermitian rank 2 operation

    • CHPR2 - hermitian packed rank 2 operation

  • Double Complex

    • ZGEMV - matrix vector multiply

    • ZGBMV - banded matrix vector multiply

    • ZHEMV - hermitian matrix vector multiply

    • ZHBMV - hermitian banded matrix vector multiply

    • ZHPMV - hermitian packed matrix vector multiply

    • ZTRMV - triangular matrix vector multiply

    • ZTBMV - triangular banded matrix vector multiply

    • ZTPMV - triangular packed matrix vector multiply

    • ZTRSV - solving triangular matrix problems

    • ZTBSV - solving triangular banded matrix problems

    • ZTPSV - solving triangular packed matrix problems

    • ZGERU - performs the rank 1 operation A := alpha*x*y' + A

    • ZGERC - performs the rank 1 operation A := alpha*x*conjg( y' ) + A

    • ZHER - hermitian rank 1 operation A := alpha*x*conjg(x') + A

    • ZHPR - hermitian packed rank 1 operation A := alpha*x*conjg( x' ) + A

    • ZHER2 - hermitian rank 2 operation

    • ZHPR2 - hermitian packed rank 2 operation

LEVEL 3

  • Single

    • SGEMM - matrix matrix multiply

    • SSYMM - symmetric matrix matrix multiply

    • SSYRK - symmetric rank-k update to a matrix

    • SSYR2K - symmetric rank-2k update to a matrix

    • STRMM - triangular matrix matrix multiply

    • STRSM - solving triangular matrix with multiple right hand sides

  • Double

    • DGEMM - matrix matrix multiply

    • DSYMM - symmetric matrix matrix multiply

    • DSYRK - symmetric rank-k update to a matrix

    • DSYR2K - symmetric rank-2k update to a matrix

    • DTRMM - triangular matrix matrix multiply

    • DTRSM - solving triangular matrix with multiple right hand sides

  • Complex

    • CGEMM - matrix matrix multiply

    • CSYMM - symmetric matrix matrix multiply

    • CHEMM - hermitian matrix matrix multiply

    • CSYRK - symmetric rank-k update to a matrix

    • CHERK - hermitian rank-k update to a matrix

    • CSYR2K - symmetric rank-2k update to a matrix

    • CHER2K - hermitian rank-2k update to a matrix

    • CTRMM - triangular matrix matrix multiply

    • CTRSM - solving triangular matrix with multiple right hand sides

  • Double Complex

    • ZGEMM - matrix matrix multiply

    • ZSYMM - symmetric matrix matrix multiply

    • ZHEMM - hermitian matrix matrix multiply

    • ZSYRK - symmetric rank-k update to a matrix

    • ZHERK - hermitian rank-k update to a matrix

    • ZSYR2K - symmetric rank-2k update to a matrix

    • ZHER2K - hermitian rank-2k update to a matrix

    • ZTRMM - triangular matrix matrix multiply

    • ZTRSM - solving triangular matrix with multiple right hand sides

Extended precision Level 2 BLAS routines

  • SUBROUTINE ECGEMV ( TRANS, M, N, ALPHA, A, LDA, X, INCX, BETA, Y, INCY )

  • SUBROUTINE ECGBMV ( TRANS, M, N, KL, KU, ALPHA, A, LDA, X, INCX, BETA, Y, INCY )

  • SUBROUTINE ECHEMV ( UPLO, N, ALPHA, A, LDA, X, INCX,BETA, Y, INCY )

  • SUBROUTINE ECHBMV ( UPLO, N, K, ALPHA, A, LDA, X, INCX,BETA, Y, INCY )

  • SUBROUTINE ECHPMV ( UPLO, N, ALPHA, AP, X, INCX, BETA, Y, INCY )

  • SUBROUTINE ECTRMV ( UPLO, TRANS, DIAG, N, A, LDA, X, INCX )

  • SUBROUTINE ECTBMV ( UPLO, TRANS, DIAG, N, K, A, LDA, X, INCX )

  • SUBROUTINE ECTPMV ( UPLO, TRANS, DIAG, N, AP, X, INCX )

  • SUBROUTINE ECTRSV ( UPLO, TRANS, DIAG, N, A, LDA, X, INCX )

  • SUBROUTINE ECTBSV ( UPLO, TRANS, DIAG, N, K, A, LDA, X, INCX )

  • SUBROUTINE ECTPSV ( UPLO, TRANS, DIAG, N, AP, X, INCX )

  • SUBROUTINE ECGERU ( M, N, ALPHA, X, INCX, Y, INCY, A, LDA )

  • SUBROUTINE ECGERC ( M, N, ALPHA, X, INCX, Y, INCY, A, LDA )

  • SUBROUTINE ECHER ( UPLO, N, ALPHA, X, INCX, A, LDA )

  • SUBROUTINE ECHPR ( UPLO, N, ALPHA, X, INCX, AP )

  • SUBROUTINE ECHER2 ( UPLO, N, ALPHA, X, INCX, Y, INCY, A, LDA )

  • SUBROUTINE ECHPR2 ( UPLO, N, ALPHA, X, INCX, Y, INCY, AP )

CODESYS Store - software and add-ons

Register in the CODESYS Store and download the latest releases of CODESYS V3.5 and CODESYS V2.3 and their corresponding SoftPLC systems.

The CODESYS Store contains products from the CODESYS GmbH and third-party vendors:

  • Software add-ons and libraries
  • Free sample projects and device description files
  • Plug-ins for all kinds of use cases and industries
  • CODESYS training courses and events
    CODESYS Store

Subscribe to our free of charge RSS feeds and we will keep you updated about all new CODESYS products and product updates.
Where can you find your CODESYS update?

  • Updates for all Store-Products, the free of charge development suite CODESYS V3.5 and CODESYS V2.3 and for all CODESYS SoftPLC systems can be downloaded in the CODESYS Store.
  • For updates on all products not purchased from the CODESYS Store, please send an e-mail to update@codesys.com. Runtime system updates are also available through this channel. Please make sure to provide the following information so that we can process your request as quickly as possible: Vendor ID, required device IDs, desired version, processor, and operating system.
  • Should you have purchased your CODESYS products from a device supplier you will obtain all software updates directly form this supplier.

Brochures and information material about CODESYS

In the download area of our website you can access the latest CODESYS product brochures and other useful information material about CODESYS. No registration required.

Motrix 1 3 8 Download Free Youtube Downloader

This area is reserved for device manufacturers that are direct customers of the CODESYS GmbH.
Registration requires a valid customer ID number.





broken image