Add to ORKGAlso France-Berkeley Project final report and ENSEEIHT-IRIT report RT/APO/00/2 and CERFACS report TR/PA/00/72, shortened version appeared in ıt ACM Trans. Math. Softw.no abstrac
The solution of large sparse linear systems is often the most time-consuming part of many science an...
[[abstract]]Fortran 90 provides a rich set of array intrinsic functions that are useful for represen...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
We describe the work performed in the context of a Franco-Berkeley funded project between NERSC-LBN...
This paper provides a comprehensive study and comparison of two state-of-the-art direct solvers for ...
Symmetric positive definite equation solvers play a very important role in structural analysis. For ...
Solving large sparse linear systems is at the heart of many application problems arising from scient...
We study the performance of a two-level algebraic-multigrid algorithm, with a focus on the impact of...
Gary Kumfert and Alex Pothen have improved the quality and run time of two ordering algorithms for m...
The paper presents the results of a performance analysis of the new sparse direct solver and the exi...
It is important to have a fast, robust and scalable algorithm to solve a sparse linear system AX=B. ...
International audienceWe introduce shared-memory parallelism in a parallel distributed-memory solver...
Sparse solvers provide essential functionality for a wide variety of scientific applications. Highly...
Since the 1960s, increasing processor frequencies have enabled a broad range of challenging problems...
The solution of large sparse linear systems is often the most time-consuming part of many science an...
The solution of large sparse linear systems is often the most time-consuming part of many science an...
[[abstract]]Fortran 90 provides a rich set of array intrinsic functions that are useful for represen...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
We describe the work performed in the context of a Franco-Berkeley funded project between NERSC-LBN...
This paper provides a comprehensive study and comparison of two state-of-the-art direct solvers for ...
Symmetric positive definite equation solvers play a very important role in structural analysis. For ...
Solving large sparse linear systems is at the heart of many application problems arising from scient...
We study the performance of a two-level algebraic-multigrid algorithm, with a focus on the impact of...
Gary Kumfert and Alex Pothen have improved the quality and run time of two ordering algorithms for m...
The paper presents the results of a performance analysis of the new sparse direct solver and the exi...
It is important to have a fast, robust and scalable algorithm to solve a sparse linear system AX=B. ...
International audienceWe introduce shared-memory parallelism in a parallel distributed-memory solver...
Sparse solvers provide essential functionality for a wide variety of scientific applications. Highly...
Since the 1960s, increasing processor frequencies have enabled a broad range of challenging problems...
The solution of large sparse linear systems is often the most time-consuming part of many science an...
The solution of large sparse linear systems is often the most time-consuming part of many science an...
[[abstract]]Fortran 90 provides a rich set of array intrinsic functions that are useful for represen...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...