GPU sparse, accumarray, non-uniform grid

Versione 1.5.0.0 (97,9 KB) da Stefano
performance gains above 1000x over matlab spmv can be observed with cuda compatible GPU.
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Aggiornato 4 dic 2013

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bare-bone interface with cusp sparse class for gpus,
support for single precision, real/complex.

Usage:
A=gcsparse(B,[format: 0=coo, 1=csr]);
or
A=gcsparse(col,row,val,[nrows,[ncols,[format]]]);
input B is a matlab array, sparse array or gcarray.

overloaded operators:
ctranspose: B=A.';
transpose: B=A';
multiply: x=A*y; (spmv)
format conversion:
B=real(A);A=complex(B);B=gcsparse(A,format);
rowptr= ptr2row(A);
row =grow2ptr(A);

examples:
real/complex speed test: testgsparse.m
accumarray: testRadavg.m
stencils: testgnufft.m (radon trasform example)

Notes:
format conversion row2ptr and ptr2row is unstable inside a function call. (the reason why is a mystery to me).

Cita come

Stefano (2024). GPU sparse, accumarray, non-uniform grid (https://www.mathworks.com/matlabcentral/fileexchange/44423-gpu-sparse-accumarray-non-uniform-grid), MATLAB Central File Exchange. Recuperato .

Compatibilità della release di MATLAB
Creato con R2013b
Compatibile con qualsiasi release
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Versione Pubblicato Note della release
1.5.0.0

reduced number of copies during format conversion,
testgnufft example compares with matlab radon/iradon, (>20x speedup using GTX titan).
1.4.0.0

added density compensation function for gnufft/gnuradon/gnuiradon.
1.3.0.0

fixed bug in gnufft
1.2.0.0

added class description