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ACML User Guide

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2D FFT: 2D FFT
3D FFT: 3D FFT
accessing ACML (Absoft af90 under Linux): Linking/Linux
accessing ACML (Compaq Visual Fortran under 32-bit Windows): Linking/Windows
accessing ACML (GNU gfortran/gcc under Linux): Linking/Linux
accessing ACML (Intel Fortran/Microsoft C under 32-bit Windows): Linking/Windows
accessing ACML (Intel Fortran/Microsoft C under 64-bit Windows): Linking/Windows
accessing ACML (Intel ifort under Linux): Linking/Linux
accessing ACML (Linux): Linking/Linux
accessing ACML (NAGware f95 compiler under Linux): Linking/Linux
accessing ACML (Open64 openf95/opencc under Linux): Linking/Linux
accessing ACML (other compilers under Linux): Linking/Linux
accessing ACML (PGI pgf77/pgf90/Microsoft C under 32-bit Windows): Linking/Windows
accessing ACML (PGI pgf77/pgf90/pgcc or Microsoft C under 64-bit Windows): Linking/Windows
accessing ACML (PGI pgf77/pgf90/pgcc under Linux): Linking/Linux
accessing ACML (Salford ftn95 under 32-bit Windows): Linking/Windows
accessing ACML (Sun f95 compiler under Solaris or Linux): Linking/Solaris
accessing ACML (Sun f95/cc under Solaris or Linux): Linking/Solaris
accessing ACML under Windows: Linking/Windows
accessing the base generators: Calling the Base Generators
ACML C Interfaces: Interfaces
ACML FORTRAN interfaces: Interfaces
ACML installation test: Examples
ACML Memory Allocation: ACML Memory Usage
ACML performance examples: Performance Examples
ACML version information: Version
ACML_MV (ACML vector math functions): MV Intro
ACML_MV types: MV Intro
base generator: Base Generators
base generator, basic NAG generator: Basic NAG Generator
base generator, blum-blum-shub: Blum-Blum-Shub Generator
base generator, calling: Calling the Base Generators
base generator, definition: RNGs
base generator, initialization: Initialization of the Base Generators
base generator, L'Ecuyer's combined recursive generator: L'Ecuyer's Combined Recursive Generator
base generator, Mersenne twister: Mersenne Twister
base generator, recommendation: Base Generators
base generator, user supplied: User Supplied Generators
base generator, Wichmann-Hill: Wichmann-Hill Generator
basic NAG base generator: Basic NAG Generator
beta distribution: DRANDBETA
binomial distribution: DRANDBINOMIAL
binomial distribution, using reference vector: DRANDBINOMIALREFERENCE
BLAS: BLAS
blum-blum-shub generator: Blum-Blum-Shub Generator
BRNG, definition: RNGs
C interfaces in ACML: Interfaces
calling the base generators: Calling the Base Generators
cauchy distribution: DRANDCAUCHY
chi-squared distribution: DRANDCHISQUARED
complex FFT: DFT Complex
continuous multivariate distribution, gaussian: DRANDMULTINORMAL
continuous multivariate distribution, gaussian, using reference vector: DRANDMULTINORMALR
continuous multivariate distribution, normal: DRANDMULTINORMAL
continuous multivariate distribution, normal, using reference vector: DRANDMULTINORMALR
continuous multivariate distribution, students t: DRANDMULTISTUDENTST
continuous multivariate distribution, students t, using reference vector: DRANDMULTISTUDENTSTR
continuous univariate distribution, beta: DRANDBETA
continuous univariate distribution, cauchy: DRANDCAUCHY
continuous univariate distribution, chi-squared: DRANDCHISQUARED
continuous univariate distribution, exponential: DRANDEXPONENTIAL
continuous univariate distribution, f: DRANDF
continuous univariate distribution, fisher's variance ratio distribution: DRANDF
continuous univariate distribution, gamma: DRANDGAMMA
continuous univariate distribution, gaussian: DRANDGAUSSIAN
continuous univariate distribution, logistic: DRANDLOGISTIC
continuous univariate distribution, lognormal: DRANDLOGNORMAL
continuous univariate distribution, normal: DRANDGAUSSIAN
continuous univariate distribution, students t: DRANDSTUDENTST
continuous univariate distribution, t: DRANDSTUDENTST
continuous univariate distribution, triangular: DRANDTRIANGULAR
continuous univariate distribution, uniform: DRANDUNIFORM
continuous univariate distribution, von mises: DRANDVONMISES
continuous univariate distribution, weibull: DRANDWEIBULL
copying a generator: Initialization of the Base Generators
cryptologically secure, definition: RNGs
cryptologically secure, generator: Blum-Blum-Shub Generator
determining the best ACML version for your system: BestLibrary
discrete multivariate distribution, multinomial: DRANDMULTINOMIAL
discrete univariate distribution, binomial: DRANDBINOMIAL
discrete univariate distribution, binomial, using reference vector: DRANDBINOMIALREFERENCE
discrete univariate distribution, geometric: DRANDGEOMETRIC
discrete univariate distribution, geometric, using reference vector: DRANDGEOMETRICREFERENCE
discrete univariate distribution, hypergeometric: DRANDHYPERGEOMETRIC
discrete univariate distribution, hypergeometric, using reference vector: DRANDHYPERGEOMETRICREFERENCE
discrete univariate distribution, negative binomial: DRANDNEGATIVEBINOMIAL
discrete univariate distribution, negative binomial, using reference vector: DRANDNEGATIVEBINOMIALREFERENCE
discrete univariate distribution, poisson: DRANDPOISSON
discrete univariate distribution, poisson, using reference vector: DRANDPOISSONREFERENCE
discrete univariate distribution, uniform: DRANDDISCRETEUNIFORM
distribution generator, definition: RNGs
example programs: Examples
exponential distribution: DRANDEXPONENTIAL
f distribution: DRANDF
fast basic math functions: Simple
Fast Fourier Transforms: FFTs
feedback shift generator: Mersenne Twister
FFT: FFTs
FFT efficiency: Efficiency
FFT of multiple complex sequences: Multi-1D FFT
FFT of multiple Hermitian sequences: Multi-1D Hermitian FFT
FFT of multiple real sequences: Multi-1D Real FFT
FFT of single complex sequence: 1D FFT
FFT of single Hermitian sequence: 1D Hermitian FFT
FFT of single real sequence: 1D Real FFT
FFT plan: Plans
fisher's variance ratio distribution: DRANDF
FORTRAN interfaces in ACML: Interfaces
gamma distribution: DRANDGAMMA
gaussian distribution (multivariate): DRANDMULTINORMAL
gaussian distribution (univariate): DRANDGAUSSIAN
gaussian distribution, multivariate, using reference vector: DRANDMULTINORMALR
general information: General
generalized feedback shift generator: Mersenne Twister
generating discrete variates from a reference vector: DRANDGENERALDISCRETE
geometric distribution: DRANDGEOMETRIC
geometric distribution, using reference vector: DRANDGEOMETRICREFERENCE
Hermitian data sequences (FFT): Real FFT Routines
hypergeometric distribution: DRANDHYPERGEOMETRIC
hypergeometric distribution, using reference vector: DRANDHYPERGEOMETRICREFERENCE
IEEE exceptions and LAPACK: LAPACK-IEEE
initialization of a generator: Initialization of the Base Generators
installation test: Examples
INTEGER*8 arguments: Integer sizes
introduction: Intro
L'Ecuyer's combined recursive generator: L'Ecuyer's Combined Recursive Generator
language interfaces: Interfaces
LAPACK: LAPACK
LAPACK blocking factors: ILAENV-ILAENVSET
LAPACK reference sources: LAPACK-references
libm names: MV Intro
library manual: Docs
library version information: Version
linear congruential generator, basic NAG generator: Basic NAG Generator
linear congruential generator, Wichmann-Hill: Wichmann-Hill Generator
linking with ACML: General
linking with Linux ACML: Linking/Linux
linking with Sun f95 ACML: Linking/Solaris
linking with Windows ACML: Linking/Windows
logistic distribution: DRANDLOGISTIC
lognormal distribution: DRANDLOGNORMAL
Mersenne twister: Mersenne Twister
Mersenne twister, multiple streams: Using Different Seeds
multinomial distribution: DRANDMULTINOMIAL
multiple recursive generator, L'Ecuyer's combined recursive generator: L'Ecuyer's Combined Recursive Generator
multiple streams: Multiple Streams
multiple streams, block splitting: Skip Ahead
multiple streams, L'Ecuyer's combined recursive generator: Leap Frogging
multiple streams, L'Ecuyer's combined recursive generator: Skip Ahead
multiple streams, leap frogging: Leap Frogging
multiple streams, Mersenne twister: Using Different Seeds
multiple streams, NAG basic generator: Leap Frogging
multiple streams, NAG basic generator: Skip Ahead
multiple streams, skip ahead: Skip Ahead
multiple streams, using different generators: Using Different Generators
multiple streams, using different seeds: Using Different Seeds
multiple streams, Wichmann-Hill generator: Leap Frogging
multiple streams, Wichmann-Hill generator: Skip Ahead
multiple streams, Wichmann-Hill generator: Using Different Generators
multivariate distribution, gaussian: DRANDMULTINORMAL
multivariate distribution, gaussian, using reference vector: DRANDMULTINORMALR
multivariate distribution, multinomial: DRANDMULTINOMIAL
multivariate distribution, normal: DRANDMULTINORMAL
multivariate distribution, normal, using reference vector: DRANDMULTINORMALR
multivariate distribution, students t: DRANDMULTISTUDENTST
multivariate distribution, students t, using reference vector: DRANDMULTISTUDENTSTR
negative binomial distribution: DRANDNEGATIVEBINOMIAL
negative binomial distribution, using reference vector: DRANDNEGATIVEBINOMIALREFERENCE
normal distribution (multivariate): DRANDMULTINORMAL
normal distribution (univariate): DRANDGAUSSIAN
normal distribution, multivariate, using reference vector: DRANDMULTINORMALR
performance example programs: Performance Examples
period of a random number generator, definition: RNGs
plan, default, FFTs: Plans
plan, generated, FFTs: Plans
poisson distribution: DRANDPOISSON
poisson distribution, using reference vector: DRANDPOISSONREFERENCE
PRNG, definition: RNGs
pseudo-random number, definition: RNGs
QRNG, definition: RNGs
quasi-random number, definition: RNGs
random bit stream: Calling the Base Generators
real data sequences (FFT): Real FFT Routines
real FFT: Real FFT Routines
reference vector, binomial distribution: DRANDBINOMIALREFERENCE
reference vector, gaussian (multivariate): DRANDMULTINORMALREFERENCE
reference vector, generating discrete variates from: DRANDGENERALDISCRETE
reference vector, geometric distribution: DRANDGEOMETRICREFERENCE
reference vector, hypergeometric distribution: DRANDHYPERGEOMETRICREFERENCE
reference vector, negative binomial distribution: DRANDNEGATIVEBINOMIALREFERENCE
reference vector, normal (multivariate): DRANDMULTINORMALREFERENCE
reference vector, poisson distribution: DRANDPOISSONREFERENCE
reference vector, students t (multivariate): DRANDMULTISTUDENTSTREFERENCE
retrieving the state of a generator: Initialization of the Base Generators
saving the state of a generator: Initialization of the Base Generators
seed, definition: RNGs
size of integer arguments: Integer sizes
sparse BLAS: BLAS
students t distribution: DRANDSTUDENTST
students t distribution (multivariate): DRANDMULTISTUDENTST
students t distribution, multivariate, using reference vector: DRANDMULTISTUDENTSTR
t distribution: DRANDSTUDENTST
triangular distribution: DRANDTRIANGULAR
uniform distribution (continuous): DRANDUNIFORM
uniform distribution (discrete): DRANDDISCRETEUNIFORM
univariate distribution, beta: DRANDBETA
univariate distribution, binomial: DRANDBINOMIAL
univariate distribution, binomial, using reference vector: DRANDBINOMIALREFERENCE
univariate distribution, cauchy: DRANDCAUCHY
univariate distribution, chi-squared: DRANDCHISQUARED
univariate distribution, exponential: DRANDEXPONENTIAL
univariate distribution, f: DRANDF
univariate distribution, fisher's variance ratio: DRANDF
univariate distribution, gamma: DRANDGAUSSIAN
univariate distribution, gamma: DRANDGAMMA
univariate distribution, geometric: DRANDGEOMETRIC
univariate distribution, geometric, using reference vector: DRANDGEOMETRICREFERENCE
univariate distribution, hypergeometric: DRANDHYPERGEOMETRIC
univariate distribution, hypergeometric, using reference vector: DRANDHYPERGEOMETRICREFERENCE
univariate distribution, logistic: DRANDLOGISTIC
univariate distribution, lognormal: DRANDLOGNORMAL
univariate distribution, negative binomial: DRANDNEGATIVEBINOMIAL
univariate distribution, negative binomial, using reference vector: DRANDNEGATIVEBINOMIALREFERENCE
univariate distribution, normal: DRANDGAUSSIAN
univariate distribution, poisson: DRANDPOISSON
univariate distribution, poisson, using reference vector: DRANDPOISSONREFERENCE
univariate distribution, students t: DRANDSTUDENTST
univariate distribution, t: DRANDSTUDENTST
univariate distribution, triangular: DRANDTRIANGULAR
univariate distribution, uniform (continuous): DRANDUNIFORM
univariate distribution, uniform (discrete): DRANDDISCRETEUNIFORM
univariate distribution, von mises: DRANDVONMISES
univariate distribution, weibull: DRANDWEIBULL
user supplied generators: User Supplied Generators
vector math functions: Vector
von mises distribution: DRANDVONMISES
weak aliases: MV Intro
weibull distribution: DRANDWEIBULL
Wichmann-Hill base generator: Wichmann-Hill Generator
Wichmann-Hill, multiple streams: Using Different Generators

AMD Core Math Library (ACML) Version 4.3.0
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