README.md

SciWasm.Sparse

SciWasm.Sparse is a web-based computing framework that offers efficient and scalable sparse matrix CPU kernels to support high-performance computing in web browsers. It supports both serial and parallel Sparse BLAS Level II operations, element-wise operations, and conversion routines for a number of sparse matrix storage formats.

To run a serial single-precision sparse matrix-vector multiplication (SpMV) benchmark

cd sequential/tests
./run -b <browser> -p single -t spmv <matrix_market_input_file_path>

where <browser> is chrome for Google Chrome and firefox for Mozilla Firefox

Supported Sparse BLAS Level II Operations

Operation	Description	Implementation Status
SpMV	Sparse Matrix-Vector Multiplication	Available
SpTS	Sparse Triangular Solve	Available

Supported Element-Wise Operations

Operation	Description	Implementation Status
ceil	ceiling function	Available
floor	floor function	Available
deg2rad	degrees to radians function	Available
rad2deg	radians to degrees function	Available
expm1	exp(x) - 1	Available
log1p	log(1 + x)	Available
power	power function	Available
rint	round function	Available
trunc	truncate function	Available
sign	sign indication	Available
sin	Trigonometric sine	Available
tan	Trigonometric tangent	Available
sqrt	square-root function	Available
multiply	element-wise multiply by scalar	Available

Supported Format Conversion Operations

Operation	Description	Implementation Status
coo_csr	COO to CSR	Available
csr_dia	CSR to DIA	Available
csr_ell	CSR to ELL	Available

Other Supported Operations

Operation	Description	Implementation Status
transpose	returns transposed sparse matrix	Available
eliminate_zeros	removes zero entries from the matrix	Available