TY - JOUR
T1 - Enhancing scalability of sparse direct methods
AU - Li, X. S.
AU - Demmel, J.
AU - Grigori, L.
AU - Gu, M.
AU - Xia, J.
AU - Jardin, S.
AU - Sovinec, C.
AU - Lee, L. Q.
PY - 2007/7/1
Y1 - 2007/7/1
N2 - TOPS is providing high-performance, scalable sparse direct solvers, which have had significant impacts on the SciDAC applications, including fusion simulation (CEMM), accelerator modeling (COMPASS), as well as many other mission-critical applications in DOE and elsewhere. Our recent developments have been focusing on new techniques to overcome scalability bottleneck of direct methods, in both time and memory. These include parallelizing symbolic analysis phase and developing linear-complexity sparse factorization methods. The new techniques will make sparse direct methods more widely usable in large 3D simulations on highly-parallel petascale computers.
AB - TOPS is providing high-performance, scalable sparse direct solvers, which have had significant impacts on the SciDAC applications, including fusion simulation (CEMM), accelerator modeling (COMPASS), as well as many other mission-critical applications in DOE and elsewhere. Our recent developments have been focusing on new techniques to overcome scalability bottleneck of direct methods, in both time and memory. These include parallelizing symbolic analysis phase and developing linear-complexity sparse factorization methods. The new techniques will make sparse direct methods more widely usable in large 3D simulations on highly-parallel petascale computers.
UR - https://www.scopus.com/pages/publications/36048953309
UR - https://www.scopus.com/inward/citedby.url?scp=36048953309&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/78/1/012041
DO - 10.1088/1742-6596/78/1/012041
M3 - Article
AN - SCOPUS:36048953309
SN - 1742-6588
VL - 78
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 1
M1 - 012041
ER -