C++ API Reference for Intel® Data Analytics Acceleration Library 2020 Update 1
Contains version 1.0 of Intel(R) Data Analytics Acceleration Library (Intel(R) DAAL) interface.
Classes | |
class | BatchContainer |
Provides methods to run implementations of the QR decomposition algorithm in the batch processing mode. More... | |
class | Batch |
Computes the results of the QR decomposition algorithm in the batch processing mode. More... | |
class | DistributedContainer |
Provides methods to run implementations of the QR decomposition algorithm. More... | |
class | DistributedContainer< step2Master, algorithmFPType, method, cpu > |
Provides methods to run implementations of QR decomposition algorithm on the first step in the distributed processing mode. More... | |
class | DistributedContainer< step3Local, algorithmFPType, method, cpu > |
Provides methods to run implementations of the QR decomposition algorithm on the third step in the distributed processing mode. More... | |
class | Distributed |
Computes the results of the QR decomposition algorithm in the distributed processing mode. More... | |
class | Distributed< step1Local, algorithmFPType, method > |
Computes the result of the first step of the QR decomposition algorithm in the distributed processing mode. More... | |
class | Distributed< step2Master, algorithmFPType, method > |
Computes the results of the QR decomposition algorithm on the second step in the distributed processing mode. More... | |
class | Distributed< step3Local, algorithmFPType, method > |
Computes the results of the QR decomposition algorithm on the third step in the distributed processing mode. More... | |
class | OnlineContainer |
Provides methods to run implementations of the QR decomposition algorithm in the online processing mode. More... | |
class | Online |
Computes the results of the QR decomposition algorithm in the online processing mode. More... | |
class | Input |
Input objects for the QR decomposition algorithm in the batch and online processing modes and for the first distributed step of the algorithm. More... | |
class | DistributedStep2Input |
Input objects for the second step of the QR decomposition algorithm in the distributed processing mode. More... | |
class | DistributedStep3Input |
Input objects for the third step of the QR decomposition algorithm in the distributed processing mode. More... | |
class | OnlinePartialResult |
Provides methods to access partial results obtained with the compute() method of the QR decomposition algorithm in the online processing mode or on the first step of the algorithm in the distributed processing mode. More... | |
class | Result |
Provides methods to access final results obtained with the compute() method of the QR decomposition algorithm in the batch processing mode or finalizeCompute() method of algorithm in the online processing mode or on the second and third steps of the algorithm in the distributed processing mode. More... | |
class | DistributedPartialResult |
Provides methods to access partial results obtained with the compute() method of the second step of the QR decomposition algorithm in the distributed processing mode. More... | |
class | DistributedPartialResultStep3 |
Provides methods to access partial results obtained with the compute() method of the third step of the QR decomposition algorithm in the distributed processing mode. More... | |
struct | Parameter |
Parameters for the QR decomposition compute method. More... | |
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