multiply_sparse.HDF5Matrix: Sparse-aware matrix multiplication for HDF5Matrix

In BigDataStatMeth: Title: Scalable Statistical Computing with HDF5-Backed Matrices

Sparse-aware matrix multiplication for HDF5Matrix

Description

Computes x %*% y block-wise using BigDataStatMeth's sparse algorithm.

Usage

## S3 method for class 'HDF5Matrix'
multiply_sparse(
  x,
  y,
  outgroup = NULL,
  outdataset = NULL,
  block_size = -1L,
  mix_block = -1L,
  paral = NULL,
  threads = NULL,
  compression = NULL,
  ...
)

Arguments

x	An HDF5Matrix.
y	An HDF5Matrix. Same HDF5 file as x.
outgroup	Character or NULL. Output group in the HDF5 file. Default "OUTPUT".
outdataset	Character or NULL. Output dataset name. Default is constructed from the operation and input names.
block_size	Integer. Block size hint; -1 = auto (default).
mix_block	Integer. Memory block size for parallel path; -1 = auto.
paral	Logical or NULL.
threads	Integer or NULL.
compression	Integer (0-9) or NULL.
...	Ignored.

Value

A new HDF5Matrix.

BigDataStatMeth documentation built on May 15, 2026, 1:07 a.m.