Accelerating Eigenpair Computations
Solvers for Edge Plasma Simulation
High Performance Geometric Multigrid
Develop efficient linear and eigensolver algorithms and fast, scalable, library implementations. Integrate the new algorithms and software into DOE applications.
Current expertise in SSG includes:
- dense linear algebra
- factorization-based sparse linear solvers
- multigrid methods
- sparse eigensolvers
- communication-avoiding algorithms -- see, e.g., http://bebop.cs.berkeley.edu/
- mathematical software and libraries
Group Leader: X. Sherry Li
April 2016: News
The SSG group has a strong show in the SIAM Conf. on Parallel Processing, April 12-15, 2016. Pieter Ghysels, Mathias Jacquelin, and Chao Yang will all give presentations on new research results in linear solvers and eigensolvers.
December 2015: News
* Congratulations to SSG senior staff scientist Sherry Li who has been elected to the SIAM Council.
November 2015: News
* Congratulations to SSG faculty scientist Jim Demmel who is among 347 new fellows named to the American Association for the Advancement of Science. Demmel was cited for his distinguished contributions to the theory and practice of numerical linear algebra, especially for innovative approaches in parallel computing.
October 2015: News
* DMML Workshop Dedicated to James Demmel
The Development of Modern Methods for Linear Algebra (DMML) workshop held October 23 - 24 at UC Berkeley was dedicated to SSG Faculty Scientist James Demmel for his leadership in modern high-accuracy and high-performance linear algebra solvers and for his promotion of numerical linear algebra to a broad audience through software, teaching, and collaboration.
Xiaoye (Sherry) Li helped organize the workshop and Deputy Lab Director Horst Simon is among the confirmed speakers
June 2015: News
* Congratulations to Sherry Li whose joint paper with Brian Austin and Eric Roman, "Resilient Matrix Multiplication of Hierarchical Semi-Separable Matrices," was just given the "FTXS 2015 Best Paper Award."
April 2015: News
* Congratulations to SSG faculty scientist Jim Demmel who was just awarded the ACM Paris Kanellakis Theory and Practice Award for his work on numerical linear algebra libraries, including LAPACK.