Lightweight 'CUDA' Numerical Computing

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Documentation for package ‘cudaverse’ version 0.4.1

• DESCRIPTION file
• User guides, package vignettes and other documentation
• Package NEWS
• Package README

Help Pages

%*%.cudatensor	Arithmetic operators for GPU-aware tensors
as_adjacency_matrix	Extract a graph adjacency matrix
as_coo	Convert sparse storage format
as_csr	Convert sparse storage format
cudatensor-operators	Arithmetic operators for GPU-aware tensors
cudatensor-subset	Subset and replace tensor values
cuda_available	Detect a usable CUDA backend
cuda_diagnostics	Diagnose the optional CUDA runtime
cuda_diffusion_map	Diffusion-map-style embedding
cuda_distance	Pairwise distances with an optional CUDA backend
cuda_kmeans	GPU-aware k-means clustering
cuda_knn	k-nearest neighbours
cuda_knn_graph	Build a sparse graph from nearest neighbours
cuda_leiden	Cluster a graph with Leiden
cuda_louvain	Cluster a graph with Louvain
cuda_memory_info	Inspect CUDA memory
cuda_pca	GPU-aware principal component analysis
cuda_provenance	Inspect actual compute provenance
cuda_provenance.default	Inspect actual compute provenance
cuda_select_device	Select a computation device without hiding fallback
cuda_sparse	Create a GPU-aware sparse matrix
cuda_stage	Record one compute stage
cuda_svd	GPU-aware singular value decomposition
cuda_tensor	Create a GPU-aware tensor
cuda_tsne	t-SNE embedding
cuda_umap	UMAP embedding
dimnames.cudasparse	Inspect sparse matrix dimension labels
dimnames.cudatensor	Inspect tensor dimension labels
embedding_coordinates	Extract embedding coordinates
Ops.cudatensor	Arithmetic operators for GPU-aware tensors
predict.cuda_kmeans	Assign observations with a fitted CUDA-aware k-means model
predict.cuda_pca	Project observations with a fitted CUDA-aware PCA model
sparse_col_sums	Sparse row and column reductions
sparse_info	Inspect sparse matrix metadata
sparse_matmul_dense	Sparse matrix by dense matrix multiplication
sparse_matvec	Sparse matrix-vector multiplication
sparse_normalize	Normalize sparse rows or columns without densifying
sparse_row_sums	Sparse row and column reductions
t.cudasparse	Transpose a GPU-aware sparse matrix
tensor_broadcast_to	Broadcast a tensor to a compatible shape
tensor_device	Inspect tensor device and backend
tensor_matmul	Matrix multiplication for tensors
tensor_mean	Tensor reductions
tensor_reshape	Reshape a tensor without changing its values
tensor_shape	Inspect tensor shape
tensor_sum	Tensor reductions
to_cpu	Transfer tensor data to base R
to_device	Transfer a tensor to a device
to_dgCMatrix	Convert to an R sparse matrix
[.cudatensor	Subset and replace tensor values
[<-.cudatensor	Subset and replace tensor values