CPU and GPU Support¶

Not all computation modes, methods, and parameters are supported on both CPU and GPU. Differences in CPU and GPU support are listed below.

Computation modes¶

For the following algorithms, only listed computation modes are supported on GPU:

GPU Support: Computaion Modes¶
Algorithm	Supported on GPU
Density-Based Spatial Clustering of Applications with Noise	batch
Linear Regression	batch, online
Logistic Regression	batch, online

For the following algorithms, only listed methods are supported on GPU:

GPU Support: Methods¶
Algortihm	Supported on GPU
K-Means Clustering	`defaultDense`
Initialization	`defaultDense`, `randomDense`
Linear Regression	`defaultDense`
Moments of Low Order	`defaultDense`
Stochastic Gradient Descent Algorithm	`miniBatch`
Covariance	`defaultDense`
Principal Component Analysis	`defaultDense`
k-Nearest Neighbors (kNN) Classifier	Brute Force
Support Vector Machine Classifier	`thunder`
Decision Forest	`hist`

GPU Support: Algorithm Parameters¶
Algortihm	Notes
Support Vector Machine Classifier	`doShrinking` is only supported for `defaultDense` method.
Density-Based Spatial Clustering of Applications with Noise	On GPU, the `memorySavingMode` flag can only be set to `true`. On GPU, the `weights` parameter is not supported.
Kernel Functions	On GPU, the only supported computation mode (`ComputationMode`) is `matrixMatrix`.
Objective Function	On GPU, only Logistic Loss and Cross-entropy Loss are supported, Mean Squared Error Algorithm is not supported. On GPU, `resultsToCompute` only computes `value`, `gradient`, and `hessian`.
Logistic Regression	`penaltyL1` is not supported on GPU