"spGPU is a set of custom matrix storages and CUDA
kernels for sparse linear algebra computing on GPU. It isn't a
replacement for cuBLAS/cuSPARSE that should be used for a full featured
linear algebra environment on GPU.
The main matrix storage used by spGPU is a GPU-friendly ELLpack
format, as well as our HELL (Hacked ELLpack) and our HDIA formats, two
enhanced versions of ELLpack and DIA with some interesting memory saving
properties.
HELL format provides a better memory storage compared to ELL (it
avoids allocation inefficency provided by spikes in row sizes), while
providing just quite the same or superior performances for the sparse
matrix-vector multiply routine. HDIA format applies the same design
choices to DIA.
Documentation: http://rawgit.com/davidebarbieri/spgpu/master/doc/html/index.html
https://github.com/davidebarbieri/spgpu/
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