Applicability of Pattern-based sparse matrix representation for real applications
نویسندگان
چکیده
منابع مشابه
Applicability of Pattern-based sparse matrix representation for real applications
Pattern-based representation (PBR) is a novel sparse matrix representation that reduces the index overhead for many matrices without zero-filling and without requiring the identification of dense matrix blocks. The PBR analyzer identifies recurring block nonzero patterns, represents the submatrix consisting of all blocks of this pattern in block coordinate format, and generates custom matrix-ve...
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ژورنال
عنوان ژورنال: Procedia Computer Science
سال: 2010
ISSN: 1877-0509
DOI: 10.1016/j.procs.2010.04.023