Abstract | ||
---|---|---|
Tensor products of matrices play a very important role in approximation and interpolation. This paper describes a systolic algorithm for tensor products in mesh connected arrays and the closely related hypercube architectures (including the Connection Machine). It is based on a new operator called bullet operator which is a higher dimensional matrix operation. The applications of tensor products to multivariable spline blending approximation as well as graphics/image processing are indicated. |
Year | DOI | Venue |
---|---|---|
1990 | 10.1016/0167-8191(90)90133-T | PARALLEL COMPUTING |
Keywords | Field | DocType |
hypercube,systolic array,tensor products,mesh-connected network,connection machine,tensor product | Spline (mathematics),Tensor product,Tensor (intrinsic definition),Matrix (mathematics),Computer science,Interpolation,Algorithm,Cartesian tensor,Operator (computer programming),Matrix multiplication | Journal |
Volume | Issue | ISSN |
13 | 3 | 0167-8191 |
Citations | PageRank | References |
3 | 0.38 | 4 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Vikram Krishnamurthy | 1 | 164 | 22.26 |
M Kunde | 2 | 3 | 0.38 |
M. Schimmler | 3 | 45 | 8.14 |
H Schröder | 4 | 4 | 0.76 |