Uses of Package
org.apache.sysml.runtime.instructions.gpu.context

Packages that use org.apache.sysml.runtime.instructions.gpu.context

Package	Description
org.apache.sysml.runtime.instructions.gpu.context
org.apache.sysml.runtime.matrix.data

Classes in org.apache.sysml.runtime.instructions.gpu.context used by org.apache.sysml.runtime.instructions.gpu.context

Class and Description
CSRPointer Compressed Sparse Row (CSR) format for CUDA Generalized matrix multiply is implemented for CSR format in the cuSparse library among other operations Since we assume that the matrix is stored with zero-based indexing (i.e.
ExecutionConfig Java Wrapper to specify CUDA execution configuration for launching custom kernels
GPUContext Represents a context per GPU accessible through the same JVM.
GPULazyCudaFreeMemoryManager
GPUMatrixMemoryManager
GPUMemoryAllocator
GPUMemoryManager - All cudaFree and cudaMalloc in SystemML should go through this class to avoid OOM or incorrect results.
GPUObject Handle to a matrix block on the GPU
JCudaKernels Utility class that allows LibMatrixCUDA as well as GPUObject to invoke custom CUDA kernels.

Classes in org.apache.sysml.runtime.instructions.gpu.context used by org.apache.sysml.runtime.matrix.data

Class and Description
CSRPointer Compressed Sparse Row (CSR) format for CUDA Generalized matrix multiply is implemented for CSR format in the cuSparse library among other operations Since we assume that the matrix is stored with zero-based indexing (i.e.
GPUContext Represents a context per GPU accessible through the same JVM.
JCudaKernels Utility class that allows LibMatrixCUDA as well as GPUObject to invoke custom CUDA kernels.