A relational approach to the compilation of sparse matrix programs
V Kotlyar, K Pingali, P Stodghill - Euro-Par'97 Parallel Processing: Third …, 1997 - Springer
V Kotlyar, K Pingali, P Stodghill
Euro-Par'97 Parallel Processing: Third International Euro-Par Conference …, 1997•SpringerWe present a relational algebra based framework for compiling efficient sparse matrix code
from dense DO-ANY loops and a specification of the representation of the sparse matrix. We
present experimental data that demonstrates that the code generated by our compiler
achieves performance competitive with that of hand-written codes for important
computational kernels.
from dense DO-ANY loops and a specification of the representation of the sparse matrix. We
present experimental data that demonstrates that the code generated by our compiler
achieves performance competitive with that of hand-written codes for important
computational kernels.
Abstract
We present a relational algebra based framework for compiling efficient sparse matrix code from dense DO-ANY loops and a specification of the representation of the sparse matrix. We present experimental data that demonstrates that the code generated by our compiler achieves performance competitive with that of hand-written codes for important computational kernels.
Springer
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