Package org.bytedeco.cuda.global

Class curand

    • Field Detail

      • CURAND_VER_MAJOR

        public static final int CURAND_VER_MAJOR
        \defgroup HOST Host API \{
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      • CURAND_STATUS_SUCCESS

        public static final int CURAND_STATUS_SUCCESS
        enum curandStatus
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      • CURAND_STATUS_VERSION_MISMATCH

        public static final int CURAND_STATUS_VERSION_MISMATCH
        enum curandStatus
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      • CURAND_STATUS_NOT_INITIALIZED

        public static final int CURAND_STATUS_NOT_INITIALIZED
        enum curandStatus
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      • CURAND_STATUS_ALLOCATION_FAILED

        public static final int CURAND_STATUS_ALLOCATION_FAILED
        enum curandStatus
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      • CURAND_STATUS_TYPE_ERROR

        public static final int CURAND_STATUS_TYPE_ERROR
        enum curandStatus
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      • CURAND_STATUS_OUT_OF_RANGE

        public static final int CURAND_STATUS_OUT_OF_RANGE
        enum curandStatus
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      • CURAND_STATUS_LENGTH_NOT_MULTIPLE

        public static final int CURAND_STATUS_LENGTH_NOT_MULTIPLE
        enum curandStatus
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      • CURAND_STATUS_DOUBLE_PRECISION_REQUIRED

        public static final int CURAND_STATUS_DOUBLE_PRECISION_REQUIRED
        enum curandStatus
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      • CURAND_STATUS_LAUNCH_FAILURE

        public static final int CURAND_STATUS_LAUNCH_FAILURE
        enum curandStatus
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      • CURAND_STATUS_PREEXISTING_FAILURE

        public static final int CURAND_STATUS_PREEXISTING_FAILURE
        enum curandStatus
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      • CURAND_STATUS_INITIALIZATION_FAILED

        public static final int CURAND_STATUS_INITIALIZATION_FAILED
        enum curandStatus
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      • CURAND_STATUS_ARCH_MISMATCH

        public static final int CURAND_STATUS_ARCH_MISMATCH
        enum curandStatus
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      • CURAND_STATUS_INTERNAL_ERROR

        public static final int CURAND_STATUS_INTERNAL_ERROR
        enum curandStatus
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      • CURAND_RNG_TEST

        public static final int CURAND_RNG_TEST
        enum curandRngType
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      • CURAND_RNG_PSEUDO_DEFAULT

        public static final int CURAND_RNG_PSEUDO_DEFAULT
        enum curandRngType
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      • CURAND_RNG_PSEUDO_XORWOW

        public static final int CURAND_RNG_PSEUDO_XORWOW
        enum curandRngType
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      • CURAND_RNG_PSEUDO_MRG32K3A

        public static final int CURAND_RNG_PSEUDO_MRG32K3A
        enum curandRngType
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      • CURAND_RNG_PSEUDO_MTGP32

        public static final int CURAND_RNG_PSEUDO_MTGP32
        enum curandRngType
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      • CURAND_RNG_PSEUDO_MT19937

        public static final int CURAND_RNG_PSEUDO_MT19937
        enum curandRngType
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      • CURAND_RNG_PSEUDO_PHILOX4_32_10

        public static final int CURAND_RNG_PSEUDO_PHILOX4_32_10
        enum curandRngType
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      • CURAND_RNG_QUASI_DEFAULT

        public static final int CURAND_RNG_QUASI_DEFAULT
        enum curandRngType
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      • CURAND_RNG_QUASI_SOBOL32

        public static final int CURAND_RNG_QUASI_SOBOL32
        enum curandRngType
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      • CURAND_RNG_QUASI_SCRAMBLED_SOBOL32

        public static final int CURAND_RNG_QUASI_SCRAMBLED_SOBOL32
        enum curandRngType
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      • CURAND_RNG_QUASI_SOBOL64

        public static final int CURAND_RNG_QUASI_SOBOL64
        enum curandRngType
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      • CURAND_RNG_QUASI_SCRAMBLED_SOBOL64

        public static final int CURAND_RNG_QUASI_SCRAMBLED_SOBOL64
        enum curandRngType
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      • CURAND_ORDERING_PSEUDO_BEST

        public static final int CURAND_ORDERING_PSEUDO_BEST
        enum curandOrdering
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      • CURAND_ORDERING_PSEUDO_DEFAULT

        public static final int CURAND_ORDERING_PSEUDO_DEFAULT
        enum curandOrdering
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      • CURAND_ORDERING_PSEUDO_SEEDED

        public static final int CURAND_ORDERING_PSEUDO_SEEDED
        enum curandOrdering
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      • CURAND_ORDERING_QUASI_DEFAULT

        public static final int CURAND_ORDERING_QUASI_DEFAULT
        enum curandOrdering
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      • CURAND_DIRECTION_VECTORS_32_JOEKUO6

        public static final int CURAND_DIRECTION_VECTORS_32_JOEKUO6
        enum curandDirectionVectorSet
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      • CURAND_SCRAMBLED_DIRECTION_VECTORS_32_JOEKUO6

        public static final int CURAND_SCRAMBLED_DIRECTION_VECTORS_32_JOEKUO6
        enum curandDirectionVectorSet
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      • CURAND_DIRECTION_VECTORS_64_JOEKUO6

        public static final int CURAND_DIRECTION_VECTORS_64_JOEKUO6
        enum curandDirectionVectorSet
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      • CURAND_SCRAMBLED_DIRECTION_VECTORS_64_JOEKUO6

        public static final int CURAND_SCRAMBLED_DIRECTION_VECTORS_64_JOEKUO6
        enum curandDirectionVectorSet
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      • CURAND_CHOOSE_BEST

        public static final int CURAND_CHOOSE_BEST
        enum curandMethod
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      • CURAND_BINARY_SEARCH

        public static final int CURAND_BINARY_SEARCH
        enum curandMethod
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      • CURAND_DISCRETE_GAUSS

        public static final int CURAND_DISCRETE_GAUSS
        enum curandMethod
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      • CURAND_REJECTION

        public static final int CURAND_REJECTION
        enum curandMethod
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      • CURAND_DEVICE_API

        public static final int CURAND_DEVICE_API
        enum curandMethod
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      • CURAND_FAST_REJECTION

        public static final int CURAND_FAST_REJECTION
        enum curandMethod
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      • CURAND_DEFINITION

        public static final int CURAND_DEFINITION
        enum curandMethod
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      • CURAND_POISSON

        public static final int CURAND_POISSON
        enum curandMethod
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    • Constructor Detail

      • curand

        public curand()

    • Method Detail

      • curandCreateGenerator

        @Cast("curandStatus_t")
public static int curandCreateGenerator​(@ByPtrPtr
                                        curandGenerator_st generator,
                                        @Cast("curandRngType_t")
                                        int rng_type)
        \brief Create new random number generator. Creates a new random number generator of type \p rng_type and returns it in \p *generator. Legal values for \p rng_type are: - CURAND_RNG_PSEUDO_DEFAULT - CURAND_RNG_PSEUDO_XORWOW - CURAND_RNG_PSEUDO_MRG32K3A - CURAND_RNG_PSEUDO_MTGP32 - CURAND_RNG_PSEUDO_MT19937 - CURAND_RNG_PSEUDO_PHILOX4_32_10 - CURAND_RNG_QUASI_DEFAULT - CURAND_RNG_QUASI_SOBOL32 - CURAND_RNG_QUASI_SCRAMBLED_SOBOL32 - CURAND_RNG_QUASI_SOBOL64 - CURAND_RNG_QUASI_SCRAMBLED_SOBOL64 When \p rng_type is CURAND_RNG_PSEUDO_DEFAULT, the type chosen is CURAND_RNG_PSEUDO_XORWOW. \n When \p rng_type is CURAND_RNG_QUASI_DEFAULT, the type chosen is CURAND_RNG_QUASI_SOBOL32. The default values for \p rng_type = CURAND_RNG_PSEUDO_XORWOW are: - \p seed = 0 - \p offset = 0 - \p ordering = CURAND_ORDERING_PSEUDO_DEFAULT The default values for \p rng_type = CURAND_RNG_PSEUDO_MRG32K3A are: - \p seed = 0 - \p offset = 0 - \p ordering = CURAND_ORDERING_PSEUDO_DEFAULT The default values for \p rng_type = CURAND_RNG_PSEUDO_MTGP32 are: - \p seed = 0 - \p offset = 0 - \p ordering = CURAND_ORDERING_PSEUDO_DEFAULT The default values for \p rng_type = CURAND_RNG_PSEUDO_MT19937 are: - \p seed = 0 - \p offset = 0 - \p ordering = CURAND_ORDERING_PSEUDO_DEFAULT * The default values for \p rng_type = CURAND_RNG_PSEUDO_PHILOX4_32_10 are: - \p seed = 0 - \p offset = 0 - \p ordering = CURAND_ORDERING_PSEUDO_DEFAULT The default values for \p rng_type = CURAND_RNG_QUASI_SOBOL32 are: - \p dimensions = 1 - \p offset = 0 - \p ordering = CURAND_ORDERING_QUASI_DEFAULT The default values for \p rng_type = CURAND_RNG_QUASI_SOBOL64 are: - \p dimensions = 1 - \p offset = 0 - \p ordering = CURAND_ORDERING_QUASI_DEFAULT The default values for \p rng_type = CURAND_RNG_QUASI_SCRAMBBLED_SOBOL32 are: - \p dimensions = 1 - \p offset = 0 - \p ordering = CURAND_ORDERING_QUASI_DEFAULT The default values for \p rng_type = CURAND_RNG_QUASI_SCRAMBLED_SOBOL64 are: - \p dimensions = 1 - \p offset = 0 - \p ordering = CURAND_ORDERING_QUASI_DEFAULT
        Parameters:
        generator - - Pointer to generator
        rng_type - - Type of generator to create
        Returns:
        - CURAND_STATUS_ALLOCATION_FAILED, if memory could not be allocated \n - CURAND_STATUS_INITIALIZATION_FAILED if there was a problem setting up the GPU \n - CURAND_STATUS_VERSION_MISMATCH if the header file version does not match the dynamically linked library version \n - CURAND_STATUS_TYPE_ERROR if the value for \p rng_type is invalid \n - CURAND_STATUS_SUCCESS if generator was created successfully \n

      • curandCreateGeneratorHost

        @Cast("curandStatus_t")
public static int curandCreateGeneratorHost​(@ByPtrPtr
                                            curandGenerator_st generator,
                                            @Cast("curandRngType_t")
                                            int rng_type)
        \brief Create new host CPU random number generator. Creates a new host CPU random number generator of type \p rng_type and returns it in \p *generator. Legal values for \p rng_type are: - CURAND_RNG_PSEUDO_DEFAULT - CURAND_RNG_PSEUDO_XORWOW - CURAND_RNG_PSEUDO_MRG32K3A - CURAND_RNG_PSEUDO_MTGP32 - CURAND_RNG_PSEUDO_MT19937 - CURAND_RNG_PSEUDO_PHILOX4_32_10 - CURAND_RNG_QUASI_DEFAULT - CURAND_RNG_QUASI_SOBOL32 When \p rng_type is CURAND_RNG_PSEUDO_DEFAULT, the type chosen is CURAND_RNG_PSEUDO_XORWOW. \n When \p rng_type is CURAND_RNG_QUASI_DEFAULT, the type chosen is CURAND_RNG_QUASI_SOBOL32. The default values for \p rng_type = CURAND_RNG_PSEUDO_XORWOW are: - \p seed = 0 - \p offset = 0 - \p ordering = CURAND_ORDERING_PSEUDO_DEFAULT The default values for \p rng_type = CURAND_RNG_PSEUDO_MRG32K3A are: - \p seed = 0 - \p offset = 0 - \p ordering = CURAND_ORDERING_PSEUDO_DEFAULT The default values for \p rng_type = CURAND_RNG_PSEUDO_MTGP32 are: - \p seed = 0 - \p offset = 0 - \p ordering = CURAND_ORDERING_PSEUDO_DEFAULT The default values for \p rng_type = CURAND_RNG_PSEUDO_MT19937 are: - \p seed = 0 - \p offset = 0 - \p ordering = CURAND_ORDERING_PSEUDO_DEFAULT * The default values for \p rng_type = CURAND_RNG_PSEUDO_PHILOX4_32_10 are: - \p seed = 0 - \p offset = 0 - \p ordering = CURAND_ORDERING_PSEUDO_DEFAULT The default values for \p rng_type = CURAND_RNG_QUASI_SOBOL32 are: - \p dimensions = 1 - \p offset = 0 - \p ordering = CURAND_ORDERING_QUASI_DEFAULT The default values for \p rng_type = CURAND_RNG_QUASI_SOBOL64 are: - \p dimensions = 1 - \p offset = 0 - \p ordering = CURAND_ORDERING_QUASI_DEFAULT The default values for \p rng_type = CURAND_RNG_QUASI_SCRAMBLED_SOBOL32 are: - \p dimensions = 1 - \p offset = 0 - \p ordering = CURAND_ORDERING_QUASI_DEFAULT The default values for \p rng_type = CURAND_RNG_QUASI_SCRAMBLED_SOBOL64 are: - \p dimensions = 1 - \p offset = 0 - \p ordering = CURAND_ORDERING_QUASI_DEFAULT
        Parameters:
        generator - - Pointer to generator
        rng_type - - Type of generator to create
        Returns:
        - CURAND_STATUS_ALLOCATION_FAILED if memory could not be allocated \n - CURAND_STATUS_INITIALIZATION_FAILED if there was a problem setting up the GPU \n - CURAND_STATUS_VERSION_MISMATCH if the header file version does not match the dynamically linked library version \n - CURAND_STATUS_TYPE_ERROR if the value for \p rng_type is invalid \n - CURAND_STATUS_SUCCESS if generator was created successfully \n

      • curandDestroyGenerator

        @Cast("curandStatus_t")
public static int curandDestroyGenerator​(curandGenerator_st generator)
        \brief Destroy an existing generator. Destroy an existing generator and free all memory associated with its state.
        Parameters:
        generator - - Generator to destroy
        Returns:
        - CURAND_STATUS_NOT_INITIALIZED if the generator was never created \n - CURAND_STATUS_SUCCESS if generator was destroyed successfully \n

      • curandGetVersion

        @Cast("curandStatus_t")
public static int curandGetVersion​(IntPointer version)
        \brief Return the version number of the library. Return in \p *version the version number of the dynamically linked CURAND library. The format is the same as CUDART_VERSION from the CUDA Runtime. The only supported configuration is CURAND version equal to CUDA Runtime version.
        Parameters:
        version - - CURAND library version
        Returns:
        - CURAND_STATUS_SUCCESS if the version number was successfully returned \n

      • curandGetVersion

        @Cast("curandStatus_t")
public static int curandGetVersion​(IntBuffer version)

      • curandGetVersion

        @Cast("curandStatus_t")
public static int curandGetVersion​(int[] version)

      • curandGetProperty

        @Cast("curandStatus_t")
public static int curandGetProperty​(@Cast("libraryPropertyType")
                                    int type,
                                    IntPointer value)
        \brief Return the value of the curand property. Return in \p *value the number for the property described by \p type of the dynamically linked CURAND library.
        Parameters:
        type - - CUDA library property
        value - - integer value for the requested property
        Returns:
        - CURAND_STATUS_SUCCESS if the property value was successfully returned \n - CURAND_STATUS_OUT_OF_RANGE if the property type is not recognized \n

      • curandGetProperty

        @Cast("curandStatus_t")
public static int curandGetProperty​(@Cast("libraryPropertyType")
                                    int type,
                                    IntBuffer value)

      • curandGetProperty

        @Cast("curandStatus_t")
public static int curandGetProperty​(@Cast("libraryPropertyType")
                                    int type,
                                    int[] value)

      • curandSetStream

        @Cast("curandStatus_t")
public static int curandSetStream​(curandGenerator_st generator,
                                  CUstream_st stream)
        \brief Set the current stream for CURAND kernel launches. Set the current stream for CURAND kernel launches. All library functions will use this stream until set again.
        Parameters:
        generator - - Generator to modify
        stream - - Stream to use or ::NULL for null stream
        Returns:
        - CURAND_STATUS_NOT_INITIALIZED if the generator was never created \n - CURAND_STATUS_SUCCESS if stream was set successfully \n

      • curandSetPseudoRandomGeneratorSeed

        @Cast("curandStatus_t")
public static int curandSetPseudoRandomGeneratorSeed​(curandGenerator_st generator,
                                                     @Cast("unsigned long long")
                                                     long seed)
        \brief Set the seed value of the pseudo-random number generator. Set the seed value of the pseudorandom number generator. All values of seed are valid. Different seeds will produce different sequences. Different seeds will often not be statistically correlated with each other, but some pairs of seed values may generate sequences which are statistically correlated.
        Parameters:
        generator - - Generator to modify
        seed - - Seed value
        Returns:
        - CURAND_STATUS_NOT_INITIALIZED if the generator was never created \n - CURAND_STATUS_TYPE_ERROR if the generator is not a pseudorandom number generator \n - CURAND_STATUS_SUCCESS if generator seed was set successfully \n

      • curandSetGeneratorOffset

        @Cast("curandStatus_t")
public static int curandSetGeneratorOffset​(curandGenerator_st generator,
                                           @Cast("unsigned long long")
                                           long offset)
        \brief Set the absolute offset of the pseudo or quasirandom number generator. Set the absolute offset of the pseudo or quasirandom number generator. All values of offset are valid. The offset position is absolute, not relative to the current position in the sequence.
        Parameters:
        generator - - Generator to modify
        offset - - Absolute offset position
        Returns:
        - CURAND_STATUS_NOT_INITIALIZED if the generator was never created \n - CURAND_STATUS_SUCCESS if generator offset was set successfully \n

      • curandSetGeneratorOrdering

        @Cast("curandStatus_t")
public static int curandSetGeneratorOrdering​(curandGenerator_st generator,
                                             @Cast("curandOrdering_t")
                                             int order)
        \brief Set the ordering of results of the pseudo or quasirandom number generator. Set the ordering of results of the pseudo or quasirandom number generator. Legal values of \p order for pseudorandom generators are: - CURAND_ORDERING_PSEUDO_DEFAULT - CURAND_ORDERING_PSEUDO_BEST - CURAND_ORDERING_PSEUDO_SEEDED Legal values of \p order for quasirandom generators are: - CURAND_ORDERING_QUASI_DEFAULT
        Parameters:
        generator - - Generator to modify
        order - - Ordering of results
        Returns:
        - CURAND_STATUS_NOT_INITIALIZED if the generator was never created \n - CURAND_STATUS_OUT_OF_RANGE if the ordering is not valid \n - CURAND_STATUS_SUCCESS if generator ordering was set successfully \n

      • curandSetQuasiRandomGeneratorDimensions

        @Cast("curandStatus_t")
public static int curandSetQuasiRandomGeneratorDimensions​(curandGenerator_st generator,
                                                          @Cast("unsigned int")
                                                          int num_dimensions)
        \brief Set the number of dimensions. Set the number of dimensions to be generated by the quasirandom number generator. Legal values for \p num_dimensions are 1 to 20000.
        Parameters:
        generator - - Generator to modify
        num_dimensions - - Number of dimensions
        Returns:
        - CURAND_STATUS_NOT_INITIALIZED if the generator was never created \n - CURAND_STATUS_OUT_OF_RANGE if num_dimensions is not valid \n - CURAND_STATUS_TYPE_ERROR if the generator is not a quasirandom number generator \n - CURAND_STATUS_SUCCESS if generator ordering was set successfully \n

      • curandGenerate

        @Cast("curandStatus_t")
public static int curandGenerate​(curandGenerator_st generator,
                                 @Cast("unsigned int*")
                                 IntPointer outputPtr,
                                 @Cast("size_t")
                                 long num)
        \brief Generate 32-bit pseudo or quasirandom numbers. Use \p generator to generate \p num 32-bit results into the device memory at \p outputPtr. The device memory must have been previously allocated and be large enough to hold all the results. Launches are done with the stream set using ::curandSetStream(), or the null stream if no stream has been set. Results are 32-bit values with every bit random.
        Parameters:
        generator - - Generator to use
        outputPtr - - Pointer to device memory to store CUDA-generated results, or Pointer to host memory to store CPU-generated results
        num - - Number of random 32-bit values to generate
        Returns:
        - CURAND_STATUS_ALLOCATION_FAILED if memory could not be allocated \n - CURAND_STATUS_NOT_INITIALIZED if the generator was never created \n - CURAND_STATUS_PREEXISTING_FAILURE if there was an existing error from a previous kernel launch \n - CURAND_STATUS_LENGTH_NOT_MULTIPLE if the number of output samples is not a multiple of the quasirandom dimension \n - CURAND_STATUS_LAUNCH_FAILURE if the kernel launch failed for any reason \n - CURAND_STATUS_TYPE_ERROR if the generator is a 64 bit quasirandom generator. (use ::curandGenerateLongLong() with 64 bit quasirandom generators) - CURAND_STATUS_SUCCESS if the results were generated successfully \n

      • curandGenerate

        @Cast("curandStatus_t")
public static int curandGenerate​(curandGenerator_st generator,
                                 @Cast("unsigned int*")
                                 int[] outputPtr,
                                 @Cast("size_t")
                                 long num)

      • curandGenerateLongLong

        @Cast("curandStatus_t")
public static int curandGenerateLongLong​(curandGenerator_st generator,
                                         @Cast("unsigned long long*")
                                         LongPointer outputPtr,
                                         @Cast("size_t")
                                         long num)
        \brief Generate 64-bit quasirandom numbers. Use \p generator to generate \p num 64-bit results into the device memory at \p outputPtr. The device memory must have been previously allocated and be large enough to hold all the results. Launches are done with the stream set using ::curandSetStream(), or the null stream if no stream has been set. Results are 64-bit values with every bit random.
        Parameters:
        generator - - Generator to use
        outputPtr - - Pointer to device memory to store CUDA-generated results, or Pointer to host memory to store CPU-generated results
        num - - Number of random 64-bit values to generate
        Returns:
        - CURAND_STATUS_NOT_INITIALIZED if the generator was never created \n - CURAND_STATUS_PREEXISTING_FAILURE if there was an existing error from a previous kernel launch \n - CURAND_STATUS_LENGTH_NOT_MULTIPLE if the number of output samples is not a multiple of the quasirandom dimension \n - CURAND_STATUS_LAUNCH_FAILURE if the kernel launch failed for any reason \n - CURAND_STATUS_TYPE_ERROR if the generator is not a 64 bit quasirandom generator\n - CURAND_STATUS_SUCCESS if the results were generated successfully \n

      • curandGenerateLongLong

        @Cast("curandStatus_t")
public static int curandGenerateLongLong​(curandGenerator_st generator,
                                         @Cast("unsigned long long*")
                                         long[] outputPtr,
                                         @Cast("size_t")
                                         long num)

      • curandGenerateUniform

        @Cast("curandStatus_t")
public static int curandGenerateUniform​(curandGenerator_st generator,
                                        FloatPointer outputPtr,
                                        @Cast("size_t")
                                        long num)
        \brief Generate uniformly distributed floats. Use \p generator to generate \p num float results into the device memory at \p outputPtr. The device memory must have been previously allocated and be large enough to hold all the results. Launches are done with the stream set using ::curandSetStream(), or the null stream if no stream has been set. Results are 32-bit floating point values between \p 0.0f and \p 1.0f, excluding \p 0.0f and including \p 1.0f.
        Parameters:
        generator - - Generator to use
        outputPtr - - Pointer to device memory to store CUDA-generated results, or Pointer to host memory to store CPU-generated results
        num - - Number of floats to generate
        Returns:
        - CURAND_STATUS_ALLOCATION_FAILED if memory could not be allocated \n - CURAND_STATUS_NOT_INITIALIZED if the generator was never created \n - CURAND_STATUS_PREEXISTING_FAILURE if there was an existing error from a previous kernel launch \n - CURAND_STATUS_LAUNCH_FAILURE if the kernel launch failed for any reason \n - CURAND_STATUS_LENGTH_NOT_MULTIPLE if the number of output samples is not a multiple of the quasirandom dimension \n - CURAND_STATUS_SUCCESS if the results were generated successfully \n

      • curandGenerateUniform

        @Cast("curandStatus_t")
public static int curandGenerateUniform​(curandGenerator_st generator,
                                        float[] outputPtr,
                                        @Cast("size_t")
                                        long num)

      • curandGenerateUniformDouble

        @Cast("curandStatus_t")
public static int curandGenerateUniformDouble​(curandGenerator_st generator,
                                              DoublePointer outputPtr,
                                              @Cast("size_t")
                                              long num)
        \brief Generate uniformly distributed doubles. Use \p generator to generate \p num double results into the device memory at \p outputPtr. The device memory must have been previously allocated and be large enough to hold all the results. Launches are done with the stream set using ::curandSetStream(), or the null stream if no stream has been set. Results are 64-bit double precision floating point values between \p 0.0 and \p 1.0, excluding \p 0.0 and including \p 1.0.
        Parameters:
        generator - - Generator to use
        outputPtr - - Pointer to device memory to store CUDA-generated results, or Pointer to host memory to store CPU-generated results
        num - - Number of doubles to generate
        Returns:
        - CURAND_STATUS_ALLOCATION_FAILED if memory could not be allocated \n - CURAND_STATUS_NOT_INITIALIZED if the generator was never created \n - CURAND_STATUS_PREEXISTING_FAILURE if there was an existing error from a previous kernel launch \n - CURAND_STATUS_LAUNCH_FAILURE if the kernel launch failed for any reason \n - CURAND_STATUS_LENGTH_NOT_MULTIPLE if the number of output samples is not a multiple of the quasirandom dimension \n - CURAND_STATUS_DOUBLE_PRECISION_REQUIRED if the GPU does not support double precision \n - CURAND_STATUS_SUCCESS if the results were generated successfully \n

      • curandGenerateUniformDouble

        @Cast("curandStatus_t")
public static int curandGenerateUniformDouble​(curandGenerator_st generator,
                                              double[] outputPtr,
                                              @Cast("size_t")
                                              long num)

      • curandGenerateNormal

        @Cast("curandStatus_t")
public static int curandGenerateNormal​(curandGenerator_st generator,
                                       FloatPointer outputPtr,
                                       @Cast("size_t")
                                       long n,
                                       float mean,
                                       float stddev)
        \brief Generate normally distributed doubles. Use \p generator to generate \p n float results into the device memory at \p outputPtr. The device memory must have been previously allocated and be large enough to hold all the results. Launches are done with the stream set using ::curandSetStream(), or the null stream if no stream has been set. Results are 32-bit floating point values with mean \p mean and standard deviation \p stddev. Normally distributed results are generated from pseudorandom generators with a Box-Muller transform, and so require \p n to be even. Quasirandom generators use an inverse cumulative distribution function to preserve dimensionality. There may be slight numerical differences between results generated on the GPU with generators created with ::curandCreateGenerator() and results calculated on the CPU with generators created with ::curandCreateGeneratorHost(). These differences arise because of differences in results for transcendental functions. In addition, future versions of CURAND may use newer versions of the CUDA math library, so different versions of CURAND may give slightly different numerical values.
        Parameters:
        generator - - Generator to use
        outputPtr - - Pointer to device memory to store CUDA-generated results, or Pointer to host memory to store CPU-generated results
        n - - Number of floats to generate
        mean - - Mean of normal distribution
        stddev - - Standard deviation of normal distribution
        Returns:
        - CURAND_STATUS_ALLOCATION_FAILED if memory could not be allocated \n - CURAND_STATUS_NOT_INITIALIZED if the generator was never created \n - CURAND_STATUS_PREEXISTING_FAILURE if there was an existing error from a previous kernel launch \n - CURAND_STATUS_LAUNCH_FAILURE if the kernel launch failed for any reason \n - CURAND_STATUS_LENGTH_NOT_MULTIPLE if the number of output samples is not a multiple of the quasirandom dimension, or is not a multiple of two for pseudorandom generators \n - CURAND_STATUS_SUCCESS if the results were generated successfully \n

      • curandGenerateNormal

        @Cast("curandStatus_t")
public static int curandGenerateNormal​(curandGenerator_st generator,
                                       FloatBuffer outputPtr,
                                       @Cast("size_t")
                                       long n,
                                       float mean,
                                       float stddev)

      • curandGenerateNormal

        @Cast("curandStatus_t")
public static int curandGenerateNormal​(curandGenerator_st generator,
                                       float[] outputPtr,
                                       @Cast("size_t")
                                       long n,
                                       float mean,
                                       float stddev)

      • curandGenerateNormalDouble

        @Cast("curandStatus_t")
public static int curandGenerateNormalDouble​(curandGenerator_st generator,
                                             DoublePointer outputPtr,
                                             @Cast("size_t")
                                             long n,
                                             double mean,
                                             double stddev)
        \brief Generate normally distributed doubles. Use \p generator to generate \p n double results into the device memory at \p outputPtr. The device memory must have been previously allocated and be large enough to hold all the results. Launches are done with the stream set using ::curandSetStream(), or the null stream if no stream has been set. Results are 64-bit floating point values with mean \p mean and standard deviation \p stddev. Normally distributed results are generated from pseudorandom generators with a Box-Muller transform, and so require \p n to be even. Quasirandom generators use an inverse cumulative distribution function to preserve dimensionality. There may be slight numerical differences between results generated on the GPU with generators created with ::curandCreateGenerator() and results calculated on the CPU with generators created with ::curandCreateGeneratorHost(). These differences arise because of differences in results for transcendental functions. In addition, future versions of CURAND may use newer versions of the CUDA math library, so different versions of CURAND may give slightly different numerical values.
        Parameters:
        generator - - Generator to use
        outputPtr - - Pointer to device memory to store CUDA-generated results, or Pointer to host memory to store CPU-generated results
        n - - Number of doubles to generate
        mean - - Mean of normal distribution
        stddev - - Standard deviation of normal distribution
        Returns:
        - CURAND_STATUS_ALLOCATION_FAILED if memory could not be allocated \n - CURAND_STATUS_NOT_INITIALIZED if the generator was never created \n - CURAND_STATUS_PREEXISTING_FAILURE if there was an existing error from a previous kernel launch \n - CURAND_STATUS_LAUNCH_FAILURE if the kernel launch failed for any reason \n - CURAND_STATUS_LENGTH_NOT_MULTIPLE if the number of output samples is not a multiple of the quasirandom dimension, or is not a multiple of two for pseudorandom generators \n - CURAND_STATUS_DOUBLE_PRECISION_REQUIRED if the GPU does not support double precision \n - CURAND_STATUS_SUCCESS if the results were generated successfully \n

      • curandGenerateNormalDouble

        @Cast("curandStatus_t")
public static int curandGenerateNormalDouble​(curandGenerator_st generator,
                                             DoubleBuffer outputPtr,
                                             @Cast("size_t")
                                             long n,
                                             double mean,
                                             double stddev)

      • curandGenerateNormalDouble

        @Cast("curandStatus_t")
public static int curandGenerateNormalDouble​(curandGenerator_st generator,
                                             double[] outputPtr,
                                             @Cast("size_t")
                                             long n,
                                             double mean,
                                             double stddev)

      • curandGenerateLogNormal

        @Cast("curandStatus_t")
public static int curandGenerateLogNormal​(curandGenerator_st generator,
                                          FloatPointer outputPtr,
                                          @Cast("size_t")
                                          long n,
                                          float mean,
                                          float stddev)
        \brief Generate log-normally distributed floats. Use \p generator to generate \p n float results into the device memory at \p outputPtr. The device memory must have been previously allocated and be large enough to hold all the results. Launches are done with the stream set using ::curandSetStream(), or the null stream if no stream has been set. Results are 32-bit floating point values with log-normal distribution based on an associated normal distribution with mean \p mean and standard deviation \p stddev. Normally distributed results are generated from pseudorandom generators with a Box-Muller transform, and so require \p n to be even. Quasirandom generators use an inverse cumulative distribution function to preserve dimensionality. The normally distributed results are transformed into log-normal distribution. There may be slight numerical differences between results generated on the GPU with generators created with ::curandCreateGenerator() and results calculated on the CPU with generators created with ::curandCreateGeneratorHost(). These differences arise because of differences in results for transcendental functions. In addition, future versions of CURAND may use newer versions of the CUDA math library, so different versions of CURAND may give slightly different numerical values.
        Parameters:
        generator - - Generator to use
        outputPtr - - Pointer to device memory to store CUDA-generated results, or Pointer to host memory to store CPU-generated results
        n - - Number of floats to generate
        mean - - Mean of associated normal distribution
        stddev - - Standard deviation of associated normal distribution
        Returns:
        - CURAND_STATUS_ALLOCATION_FAILED if memory could not be allocated \n - CURAND_STATUS_NOT_INITIALIZED if the generator was never created \n - CURAND_STATUS_PREEXISTING_FAILURE if there was an existing error from a previous kernel launch \n - CURAND_STATUS_LAUNCH_FAILURE if the kernel launch failed for any reason \n - CURAND_STATUS_LENGTH_NOT_MULTIPLE if the number of output samples is not a multiple of the quasirandom dimension, or is not a multiple of two for pseudorandom generators \n - CURAND_STATUS_SUCCESS if the results were generated successfully \n

      • curandGenerateLogNormal

        @Cast("curandStatus_t")
public static int curandGenerateLogNormal​(curandGenerator_st generator,
                                          FloatBuffer outputPtr,
                                          @Cast("size_t")
                                          long n,
                                          float mean,
                                          float stddev)

      • curandGenerateLogNormal

        @Cast("curandStatus_t")
public static int curandGenerateLogNormal​(curandGenerator_st generator,
                                          float[] outputPtr,
                                          @Cast("size_t")
                                          long n,
                                          float mean,
                                          float stddev)

      • curandGenerateLogNormalDouble

        @Cast("curandStatus_t")
public static int curandGenerateLogNormalDouble​(curandGenerator_st generator,
                                                DoublePointer outputPtr,
                                                @Cast("size_t")
                                                long n,
                                                double mean,
                                                double stddev)
        \brief Generate log-normally distributed doubles. Use \p generator to generate \p n double results into the device memory at \p outputPtr. The device memory must have been previously allocated and be large enough to hold all the results. Launches are done with the stream set using ::curandSetStream(), or the null stream if no stream has been set. Results are 64-bit floating point values with log-normal distribution based on an associated normal distribution with mean \p mean and standard deviation \p stddev. Normally distributed results are generated from pseudorandom generators with a Box-Muller transform, and so require \p n to be even. Quasirandom generators use an inverse cumulative distribution function to preserve dimensionality. The normally distributed results are transformed into log-normal distribution. There may be slight numerical differences between results generated on the GPU with generators created with ::curandCreateGenerator() and results calculated on the CPU with generators created with ::curandCreateGeneratorHost(). These differences arise because of differences in results for transcendental functions. In addition, future versions of CURAND may use newer versions of the CUDA math library, so different versions of CURAND may give slightly different numerical values.
        Parameters:
        generator - - Generator to use
        outputPtr - - Pointer to device memory to store CUDA-generated results, or Pointer to host memory to store CPU-generated results
        n - - Number of doubles to generate
        mean - - Mean of normal distribution
        stddev - - Standard deviation of normal distribution
        Returns:
        - CURAND_STATUS_ALLOCATION_FAILED if memory could not be allocated \n - CURAND_STATUS_NOT_INITIALIZED if the generator was never created \n - CURAND_STATUS_PREEXISTING_FAILURE if there was an existing error from a previous kernel launch \n - CURAND_STATUS_LAUNCH_FAILURE if the kernel launch failed for any reason \n - CURAND_STATUS_LENGTH_NOT_MULTIPLE if the number of output samples is not a multiple of the quasirandom dimension, or is not a multiple of two for pseudorandom generators \n - CURAND_STATUS_DOUBLE_PRECISION_REQUIRED if the GPU does not support double precision \n - CURAND_STATUS_SUCCESS if the results were generated successfully \n

      • curandGenerateLogNormalDouble

        @Cast("curandStatus_t")
public static int curandGenerateLogNormalDouble​(curandGenerator_st generator,
                                                DoubleBuffer outputPtr,
                                                @Cast("size_t")
                                                long n,
                                                double mean,
                                                double stddev)

      • curandGenerateLogNormalDouble

        @Cast("curandStatus_t")
public static int curandGenerateLogNormalDouble​(curandGenerator_st generator,
                                                double[] outputPtr,
                                                @Cast("size_t")
                                                long n,
                                                double mean,
                                                double stddev)

      • curandCreatePoissonDistribution

        @Cast("curandStatus_t")
public static int curandCreatePoissonDistribution​(double lambda,
                                                  @ByPtrPtr
                                                  curandDiscreteDistribution_st discrete_distribution)
        \brief Construct the histogram array for a Poisson distribution. Construct the histogram array for the Poisson distribution with lambda \p lambda. For lambda greater than 2000, an approximation with a normal distribution is used.
        Parameters:
        lambda - - lambda for the Poisson distribution
        discrete_distribution - - pointer to the histogram in device memory
        Returns:
        - CURAND_STATUS_ALLOCATION_FAILED if memory could not be allocated \n - CURAND_STATUS_DOUBLE_PRECISION_REQUIRED if the GPU does not support double precision \n - CURAND_STATUS_INITIALIZATION_FAILED if there was a problem setting up the GPU \n - CURAND_STATUS_NOT_INITIALIZED if the distribution pointer was null \n - CURAND_STATUS_PREEXISTING_FAILURE if there was an existing error from a previous kernel launch \n - CURAND_STATUS_OUT_OF_RANGE if lambda is non-positive or greater than 400,000 \n - CURAND_STATUS_SUCCESS if the histogram was generated successfully \n

      • curandDestroyDistribution

        @Cast("curandStatus_t")
public static int curandDestroyDistribution​(curandDiscreteDistribution_st discrete_distribution)
        \brief Destroy the histogram array for a discrete distribution (e.g. Poisson). Destroy the histogram array for a discrete distribution created by curandCreatePoissonDistribution.
        Parameters:
        discrete_distribution - - pointer to device memory where the histogram is stored
        Returns:
        - CURAND_STATUS_NOT_INITIALIZED if the histogram was never created \n - CURAND_STATUS_SUCCESS if the histogram was destroyed successfully \n

      • curandGeneratePoisson

        @Cast("curandStatus_t")
public static int curandGeneratePoisson​(curandGenerator_st generator,
                                        @Cast("unsigned int*")
                                        IntPointer outputPtr,
                                        @Cast("size_t")
                                        long n,
                                        double lambda)
        \brief Generate Poisson-distributed unsigned ints. Use \p generator to generate \p n unsigned int results into device memory at \p outputPtr. The device memory must have been previously allocated and must be large enough to hold all the results. Launches are done with the stream set using ::curandSetStream(), or the null stream if no stream has been set. Results are 32-bit unsigned int point values with Poisson distribution, with lambda \p lambda.
        Parameters:
        generator - - Generator to use
        outputPtr - - Pointer to device memory to store CUDA-generated results, or Pointer to host memory to store CPU-generated results
        n - - Number of unsigned ints to generate
        lambda - - lambda for the Poisson distribution
        Returns:
        - CURAND_STATUS_ALLOCATION_FAILED if memory could not be allocated \n - CURAND_STATUS_NOT_INITIALIZED if the generator was never created \n - CURAND_STATUS_PREEXISTING_FAILURE if there was an existing error from a previous kernel launch \n - CURAND_STATUS_LAUNCH_FAILURE if the kernel launch failed for any reason \n - CURAND_STATUS_LENGTH_NOT_MULTIPLE if the number of output samples is not a multiple of the quasirandom dimension\n - CURAND_STATUS_DOUBLE_PRECISION_REQUIRED if the GPU or sm does not support double precision \n - CURAND_STATUS_OUT_OF_RANGE if lambda is non-positive or greater than 400,000 \n - CURAND_STATUS_SUCCESS if the results were generated successfully \n

      • curandGeneratePoisson

        @Cast("curandStatus_t")
public static int curandGeneratePoisson​(curandGenerator_st generator,
                                        @Cast("unsigned int*")
                                        int[] outputPtr,
                                        @Cast("size_t")
                                        long n,
                                        double lambda)

      • curandGeneratePoissonMethod

        @Cast("curandStatus_t")
public static int curandGeneratePoissonMethod​(curandGenerator_st generator,
                                              @Cast("unsigned int*")
                                              IntPointer outputPtr,
                                              @Cast("size_t")
                                              long n,
                                              double lambda,
                                              @Cast("curandMethod_t")
                                              int method)

      • curandGeneratePoissonMethod

        @Cast("curandStatus_t")
public static int curandGeneratePoissonMethod​(curandGenerator_st generator,
                                              @Cast("unsigned int*")
                                              IntBuffer outputPtr,
                                              @Cast("size_t")
                                              long n,
                                              double lambda,
                                              @Cast("curandMethod_t")
                                              int method)

      • curandGeneratePoissonMethod

        @Cast("curandStatus_t")
public static int curandGeneratePoissonMethod​(curandGenerator_st generator,
                                              @Cast("unsigned int*")
                                              int[] outputPtr,
                                              @Cast("size_t")
                                              long n,
                                              double lambda,
                                              @Cast("curandMethod_t")
                                              int method)

      • curandGenerateSeeds

        @Cast("curandStatus_t")
public static int curandGenerateSeeds​(curandGenerator_st generator)
        \brief Setup starting states. Generate the starting state of the generator. This function is automatically called by generation functions such as ::curandGenerate() and ::curandGenerateUniform(). It can be called manually for performance testing reasons to separate timings for starting state generation and random number generation.
        Parameters:
        generator - - Generator to update
        Returns:
        - CURAND_STATUS_ALLOCATION_FAILED if memory could not be allocated \n - CURAND_STATUS_NOT_INITIALIZED if the generator was never created \n - CURAND_STATUS_PREEXISTING_FAILURE if there was an existing error from a previous kernel launch \n - CURAND_STATUS_LAUNCH_FAILURE if the kernel launch failed for any reason \n - CURAND_STATUS_SUCCESS if the seeds were generated successfully \n

      • curandGetDirectionVectors32

        @Cast("curandStatus_t")
public static int curandGetDirectionVectors32​(@Cast("curandDirectionVectors32_t**")
                                              PointerPointer vectors,
                                              @Cast("curandDirectionVectorSet_t")
                                              int set)
        \brief Get direction vectors for 32-bit quasirandom number generation. Get a pointer to an array of direction vectors that can be used for quasirandom number generation. The resulting pointer will reference an array of direction vectors in host memory. The array contains vectors for many dimensions. Each dimension has 32 vectors. Each individual vector is an unsigned int. Legal values for \p set are: - CURAND_DIRECTION_VECTORS_32_JOEKUO6 (20,000 dimensions) - CURAND_SCRAMBLED_DIRECTION_VECTORS_32_JOEKUO6 (20,000 dimensions)
        Parameters:
        vectors - - Address of pointer in which to return direction vectors
        set - - Which set of direction vectors to use
        Returns:
        - CURAND_STATUS_OUT_OF_RANGE if the choice of set is invalid \n - CURAND_STATUS_SUCCESS if the pointer was set successfully \n

      • curandGetDirectionVectors32

        @Cast("curandStatus_t")
public static int curandGetDirectionVectors32​(@Cast("curandDirectionVectors32_t**") @ByPtrPtr
                                              IntPointer vectors,
                                              @Cast("curandDirectionVectorSet_t")
                                              int set)

      • curandGetDirectionVectors32

        @Cast("curandStatus_t")
public static int curandGetDirectionVectors32​(@Cast("curandDirectionVectors32_t**") @ByPtrPtr
                                              IntBuffer vectors,
                                              @Cast("curandDirectionVectorSet_t")
                                              int set)

      • curandGetDirectionVectors32

        @Cast("curandStatus_t")
public static int curandGetDirectionVectors32​(@Cast("curandDirectionVectors32_t**") @ByPtrPtr
                                              int[] vectors,
                                              @Cast("curandDirectionVectorSet_t")
                                              int set)

      • curandGetScrambleConstants32

        @Cast("curandStatus_t")
public static int curandGetScrambleConstants32​(@Cast("unsigned int**")
                                               PointerPointer constants)
        \brief Get scramble constants for 32-bit scrambled Sobol' . Get a pointer to an array of scramble constants that can be used for quasirandom number generation. The resulting pointer will reference an array of unsinged ints in host memory. The array contains constants for many dimensions. Each dimension has a single unsigned int constant.
        Parameters:
        constants - - Address of pointer in which to return scramble constants
        Returns:
        - CURAND_STATUS_SUCCESS if the pointer was set successfully \n

      • curandGetScrambleConstants32

        @Cast("curandStatus_t")
public static int curandGetScrambleConstants32​(@Cast("unsigned int**") @ByPtrPtr
                                               IntPointer constants)

      • curandGetScrambleConstants32

        @Cast("curandStatus_t")
public static int curandGetScrambleConstants32​(@Cast("unsigned int**") @ByPtrPtr
                                               IntBuffer constants)

      • curandGetScrambleConstants32

        @Cast("curandStatus_t")
public static int curandGetScrambleConstants32​(@Cast("unsigned int**") @ByPtrPtr
                                               int[] constants)

      • curandGetDirectionVectors64

        @Cast("curandStatus_t")
public static int curandGetDirectionVectors64​(@Cast("curandDirectionVectors64_t**")
                                              PointerPointer vectors,
                                              @Cast("curandDirectionVectorSet_t")
                                              int set)
        \brief Get direction vectors for 64-bit quasirandom number generation. Get a pointer to an array of direction vectors that can be used for quasirandom number generation. The resulting pointer will reference an array of direction vectors in host memory. The array contains vectors for many dimensions. Each dimension has 64 vectors. Each individual vector is an unsigned long long. Legal values for \p set are: - CURAND_DIRECTION_VECTORS_64_JOEKUO6 (20,000 dimensions) - CURAND_SCRAMBLED_DIRECTION_VECTORS_64_JOEKUO6 (20,000 dimensions)
        Parameters:
        vectors - - Address of pointer in which to return direction vectors
        set - - Which set of direction vectors to use
        Returns:
        - CURAND_STATUS_OUT_OF_RANGE if the choice of set is invalid \n - CURAND_STATUS_SUCCESS if the pointer was set successfully \n

      • curandGetDirectionVectors64

        @Cast("curandStatus_t")
public static int curandGetDirectionVectors64​(@Cast("curandDirectionVectors64_t**") @ByPtrPtr
                                              LongPointer vectors,
                                              @Cast("curandDirectionVectorSet_t")
                                              int set)

      • curandGetDirectionVectors64

        @Cast("curandStatus_t")
public static int curandGetDirectionVectors64​(@Cast("curandDirectionVectors64_t**") @ByPtrPtr
                                              LongBuffer vectors,
                                              @Cast("curandDirectionVectorSet_t")
                                              int set)

      • curandGetDirectionVectors64

        @Cast("curandStatus_t")
public static int curandGetDirectionVectors64​(@Cast("curandDirectionVectors64_t**") @ByPtrPtr
                                              long[] vectors,
                                              @Cast("curandDirectionVectorSet_t")
                                              int set)

      • curandGetScrambleConstants64

        @Cast("curandStatus_t")
public static int curandGetScrambleConstants64​(@Cast("unsigned long long**")
                                               PointerPointer constants)
        \brief Get scramble constants for 64-bit scrambled Sobol' . Get a pointer to an array of scramble constants that can be used for quasirandom number generation. The resulting pointer will reference an array of unsinged long longs in host memory. The array contains constants for many dimensions. Each dimension has a single unsigned long long constant.
        Parameters:
        constants - - Address of pointer in which to return scramble constants
        Returns:
        - CURAND_STATUS_SUCCESS if the pointer was set successfully \n

      • curandGetScrambleConstants64

        @Cast("curandStatus_t")
public static int curandGetScrambleConstants64​(@Cast("unsigned long long**") @ByPtrPtr
                                               LongPointer constants)

      • curandGetScrambleConstants64

        @Cast("curandStatus_t")
public static int curandGetScrambleConstants64​(@Cast("unsigned long long**") @ByPtrPtr
                                               LongBuffer constants)

      • curandGetScrambleConstants64

        @Cast("curandStatus_t")
public static int curandGetScrambleConstants64​(@Cast("unsigned long long**") @ByPtrPtr
                                               long[] constants)