Please do not reply directly to this email. All additional comments should be made in the comments box of this bug. Summary: Review Request: metis - A set of serial programs for partitioning graphs, partitioning finite element meshes, and producing fill reducing orderings for sparse matrices https://bugzilla.redhat.com/show_bug.cgi?id=715314 Summary: Review Request: metis - A set of serial programs for partitioning graphs, partitioning finite element meshes, and producing fill reducing orderings for sparse matrices Product: Fedora Version: rawhide Platform: All OS/Version: Linux Status: NEW Severity: medium Priority: medium Component: Package Review AssignedTo: nobody@xxxxxxxxxxxxxxxxx ReportedBy: sanjay.ankur@xxxxxxxxx QAContact: extras-qa@xxxxxxxxxxxxxxxxx CC: notting@xxxxxxxxxx, fedora-package-review@xxxxxxxxxx Estimated Hours: 0.0 Classification: Fedora Story Points: --- Spec URL: http://ankursinha.fedorapeople.org/metis/metis.spec SRPM URL: http://ankursinha.fedorapeople.org/metis/metis-4.0.3-1.fc15.src.rpm Description: METIS's key features are the following: Provides high quality partitions! Experiments on a large number of graphs arising in various domains including finite element methods, linear programming, VLSI, and transportation show that METIS produces partitions that are consistently better than those produced by other widely used algorithms. The partitions produced by METIS are consistently 10% to 50% better than those produced by spectral partitioning algorithms. It is extremely fast! Experiments on a wide range of graphs has shown that METIS is one to two orders of magnitude faster than other widely used partitioning algorithms. Graphs with over 1,000,000 vertices can be partitioned in 256 parts in a few seconds on current generation workstations and PCs. Produces low fill orderings! The fill-reducing orderings produced by METIS are significantly better than those produced by other widely used algorithms including multiple minimum degree. For many classes of problems arising in scientific computations and linear programming, METIS is able to reduce the storage and computational requirements of sparse matrix factorization, by up to an order of magnitude. Moreover, unlike multiple minimum degree, the elimination trees produced by METIS are suitable for parallel direct factorization. Furthermore, METIS is able to compute these orderings very fast. Matrices with over 200,000 rows can be reordered in just a few seconds on current generation workstations and PCs. -- Configure bugmail: https://bugzilla.redhat.com/userprefs.cgi?tab=email ------- You are receiving this mail because: ------- You are on the CC list for the bug. _______________________________________________ package-review mailing list package-review@xxxxxxxxxxxxxxxxxxxxxxx https://admin.fedoraproject.org/mailman/listinfo/package-review