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12 Module DocumentationParameters:– cudaComputeModeExclusive: Compute-exclusive mode - Only one thread will be able to use cudaSetDevice()with this device.– cudaComputeModeProhibited: Compute-prohibited mode - No threads can use cudaSetDevice() with thisdevice. Any errors from calling cudaSetDevice() with an exclusive (and occupied) or prohibited device willonly show up after a non-device management runtime function is called. At that time, cudaErrorNoDevicewill be returned.prop - Properties for the specified devicedevice - Device number to get properties forReturns:See also:cudaSuccess, cudaErrorInvalidDevicecudaGetDeviceCount, cudaGetDevice, cudaSetDevice, cudaChooseDevice3.4.2.5 cudaError_t cudaSetDevice (int device)Records device as the device on which the active host thread executes the device code. If the host thread has alreadyinitialized the CUDA runtime by calling non-device management runtime functions, this call returns cudaErrorSetOn-ActiveProcess.Parameters:device - Device on which the active host thread should execute the device code.Returns:Note:See also:cudaSuccess, cudaErrorInvalidDevice, cudaErrorSetOnActiveProcessNote that this function may also return error codes from previous, asynchronous launches.cudaGetDeviceCount, cudaGetDevice, cudaGetDeviceProperties, cudaChooseDevice3.4.2.6 cudaError_t cudaSetDeviceFlags (int flags)Records flags as the flags to use when the active host thread executes device code. If the host thread has alreadyinitialized the CUDA runtime by calling non-device management runtime functions, this call returns cudaErrorSetOn-ActiveProcess.The two LSBs of the flags parameter can be used to control how the CPU thread interacts with the OS schedulerwhen waiting for results from the device.• cudaDeviceScheduleAuto: The default value if the flags parameter is zero, uses a heuristic based on thenumber of active CUDA contexts in the process C and the number of logical processors in the system P. If C >P, then CUDA will yield to other OS threads when waiting for the device, otherwise CUDA will not yield whilewaiting for results and actively spin on the processor.Generated on Wed Apr 1 16:11:42 2009 for NVIDIA CUDA Library by Doxygen
3.4 Device Management 13• cudaDeviceScheduleSpin: Instruct CUDA to actively spin when waiting for results from the device. This candecrease latency when waiting for the device, but may lower the performance of CPU threads if they are performingwork in parallel with the CUDA thread.• cudaDeviceScheduleYield: Instruct CUDA to yield its thread when waiting for results from the device. Thiscan increase latency when waiting for the device, but can increase the performance of CPU threads performingwork in parallel with the device.• cudaDeviceBlockingSync: Instruct CUDA to block the CPU thread on a synchronization primitive when waitingfor the device to finish work.• cudaDeviceMapHost: This flag must be set in order to allocate pinned host memory that is accessible to thedevice. If this flag is not set, cudaHostGetDevicePointer() will always return a failure code.Parameters:flags - Parameters for device operationReturns:See also:cudaSuccess, cudaErrorInvalidDevice, cudaErrorSetOnActiveProcesscudaGetDeviceCount, cudaGetDevice, cudaGetDeviceProperties, cudaSetDevice, cudaSetValidDevices, cuda-ChooseDevice3.4.2.7 cudaError_t cudaSetValidDevices (int ∗ device_arr, int len)Sets a list of devices for CUDA execution in priority order using device_arr. The parameter len specifies thenumber of elements in the list. CUDA will try devices from the list sequentially until it finds one that works. If thisfunction is not called, or if it is called with a len of 0, then CUDA will go back to its default behavior of trying devicessequentially from a default list containing all of the available CUDA devices in the system. If a specified device ID inthe list does not exist, this function will return cudaErrorInvalidDevice. If len is not 0 and device_arr is NULLor if len is greater than the number of devices in the system, then cudaErrorInvalidValue is returned.Parameters:device_arr - List of devices to trylen - Number of devices in specified listReturns:Note:See also:cudaSuccess, cudaErrorInvalidValue, cudaErrorInvalidDeviceNote that this function may also return error codes from previous, asynchronous launches.cudaGetDeviceCount, cudaSetDevice, cudaGetDeviceProperties, cudaSetDeviceFlags, cudaChooseDeviceGenerated on Wed Apr 1 16:11:42 2009 for NVIDIA CUDA Library by Doxygen
Page 1: NVIDIA CUDAReference ManualVersion
Page 4 and 5: iiCONTENTS3.5 Stream Management . .
Page 6 and 7: ivCONTENTS3.10 Direct3D 9 Interoper
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