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Scalable Solvers Group
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symPACK Sparse Symmetric Direct Solver

We developed and a new direct linear solver for sparse symmetric positive definite matrices, symPACK. By exploiting the symmetry explicitly, symPACK achieves low storage costs.

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SuperLU Sparse Unsymmetric Direct Solver

The recently developed communication-avoiding 3D sparse LU factorization in SuperLU_DIST reduces latency, achieving speedups up to 27x for planar graphs and up to 2.5x for non-planar graphs over the b...

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Sparse Low-rank Hierarchical Matrix Preconditioner

STRUMPACK (STRUctured Matrices PACKage) software uses faster algorithms developed in SSG using hierarchical low-rank matrix algebra, which generalizes fast multipole methods and leads to factorization...


Solvers for Edge Plasma Simulation

Researchers in the Scalable Solvers Group at LBNL help the SciDAC application partnership Center for Edge Plasma Simulation (EPSI) by developing solvers for advanced fusion simulation codes based upon...

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High Performance Geometric Multigrid

Research scientists at LBNL and Argonne National Laboratory have developed a new high performance computing metric intended to provide the community with both a ranking metric for the world's largest ...


Accelerating Eigenpair Computations

Novel approach developed by SciDAC FASTMath Institute accelerates computations of large numbers of extreme eigenpairs of Hermitian operators. The new eigenvalue solver has been tested in the framework...



The recently developed HipGISAXS software is an unique massively parallel code to simulate and analyze custom and complex morphologies from Grazing Incidence Small Angle X-ray Scattering (GISAXS) expe...


SSG Jan 2019


Our Mission

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 solvers and preconditions
  • Multigrid methods
  • Sparse eigensolvers
  • Optimization, machine learning
  • Communication-avoiding algorithms (see, e.g.,
  • Mathematical software

Group Leader:  X. Sherry Li

Position openings

 Currently we do not have openings.


July 2018

Yang Liu received the Sergei A. Schelkunoff Transactions Prize Paper Award given by the IEEE Antennas and Propagation Society, for the following paper:  Han Guo, Yang Liu, Jun Hu, and Eric Michielssen, "A Butterfly-Based Direct Integral-Equation Solver Using Hierarchical LU Factorization for Analyzing Scattering From Electrically Large Conducting Objects",   IEEE Transactions on Antennas and Propagation 65, no. 9 (2017): pages 4742-4750, September 2017.  See more details here:

June 2017

Roel Van Beeumen won one of two best poster blitz prizes at the Householder Symposium XX on Numerical Linear Algebra at Virginia Tech, June 18-23, 2017.

May 2017

Congratulations to Mathias Jacquelin whose joint paper with Bert De Jong (CCMC), Eric Bylaska (PNNL), Jeff Hammond, and Michael Klemm (Intel),“Performance Evaluation of NWChem Ab-Initio Molecular Dynamics (AIMD) Simulations on the Intel Xeon Phi Processor” has been given the “Best Paper Award” at the IXPUG workshop held in conjunction with the ISC 2017 conference.

March 2017

Lin Lin has been honored with a 2017 SIAM Activity Group on Computational Science and Engineering (SIAG/CSE) Early Career Prize.

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