Randomly Sparse Equation Solution by Loopless Code Generation on the CRAY-1.
Abstract
To solve directly a sparse, unsymmetric matrix equation Ax = b, an equation-ordering algorithm based on local equation decoupling is proposed to maintain a high flow rate of scalar computations within a floating point pipeline. Software is described to solve highly-sparse unpatterned systems efficiently via explicit code generation. Rates in the range of 15 MFLOPS on the CRAY-1 are achieved. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 01, 1982
- Accession Number
- ADA125738
Entities
People
- Donald Albert Calahan
Organizations
- University of Michigan