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SIAM Activity Group on Linear Algebra

SIAG LA digest

Feb 5, 2018 • Jen Pestana

The deadline for submitting proposals for the 2021 SIAM Conference on Applied Linear Algebra has been extended to Februrary 16.


The SIAG/LA Officers seek input on a location for the 2021 SIAM Conference on Applied Linear Algebra

The deadline for submitting input has been extended to 16 February, 2018.

Recommendations for locations within North America need not have a local organizing committee, but it would be helpful to provide justification on why the particular recommended location is a good choice for the SIAM ALA Conference. Such recommendations can be sent directly to Jim Nagy, SIAG/LA Chair,

Note that it is possible to run the conference with limited or no SIAM support or staff, or to hold the conference outside North America. However, in these situations it is important to have a strong local organizing team, and a formal proposal needs to be submitted to SIAM.
For further details, see:

The deadline for submitting recommendations and/or proposals has been extended to 16 February 2018.

Jim Nagy, Chair,
Alison Ramage, Vice Chair,
Melina Freitag, Program Director,
Jen Pestana, Secretary,

SIAG/LA sponsored sessions at the upcoming SIAM Annual Meeting

We’re pleased to announce that the following minisymposia and miniposterium at the SIAM Annual Meeting in Portland, Oregon (July 9-13) will be sponsored by the SIAG/LA:


  • “Randomized Numerical Algorithms: Foundations and Practice”, organised by Ilse Ipsen
  • “Numerical Range, Numerical Radius and K-Spectral Sets”, organised by Michael Overton and Anne Greenbaum
  • “Recent Advances in Eigenvalue Solvers”, organised by Agnieszka Miedlar and Roel Van Beeumen
  • “Low-rank tensors and high-dimensional problems”, organised by Bart Vandereycken and Vladimir Kazeev
  • “Linear Algebra in Network Computations”, organised by Christine Klymko and Dan Taylor
  • “Advances in preconditioned iterative solves for linear systems”, organised by Chen Greif and Jennifer Pestana


  • “Software for Numerical Linear Algebra”, organised by James Nagy and Sarah Knepper

We hope to see many of you at these sessions!

The SIAG/LA committee

C++ API for Batch BLAS

As part of the ECP SLATE project, we are designing a standard C++ API for Batch BLAS. We have published the initial draft of the proposed API as SLATE Working Note #4:

Given the importance of such a standard, we would like to engage the broader community in its development. To facilitate this collaboration, we have a SLATE user mailing list. You can join this mailing list by going to the following URL:!forum/slate-user

Once there, click the “Apply to join group” button. Please send any comments to

We look forward to a fruitful discussion and collaboration.

23rd ILAS meeting, June 22-26 2020, National University of Ireland Galway

** 23rd ILAS meeting: June 22-26 2020, NUI Galway, Ireland (hold the date) **

2020 Meeting of the International Linear Algebra Society will be hosted by the School of Mathematics at NUI Galway, 22-26 June, 2020. Please see for an impression of the venue.

Further details will be posted to

Niall Madden,
On behalf of the Local Organizing Committee

Postdoc position at Tottori University in Japan for interdisciplinary research between information science and material science on supercomputers

We would like to announce that an PD position in Japan is open for interdisciplinary research between information science (e.g. HPC, numerical analysis, data science) and computational material science on supercomputers. [1] The PD will join our team of ‘Development of fundamental parallel algorithms’ [2], a part of the national project of Japan for development of the next flagship (‘post-K’) supercomputer.

Starting date: April 1, 2018 (Later starting date is negotiable.) Deadline: The review process will start immediately and continue until the position filled. We may not guarantee the full consideration for the application materials sent after 16. Feb. 2018. Requirements: PhD degree. The researcher is expected to have considerable experiences in computational material science (e.g. electronic structure calculation, molecular dynamics simulation) or information science (e.g. HPC, numerical analysis, data science). Experience of the code development in Fortran and/or Python is welcomed (not required). Other details can be found in [1].


PhD/Postdoc Positions, Low-Rank Matrix Approximations, University of Mons

The research group of Nicolas Gillis at the University of Mons (Belgium) is seeking highly qualified candidates for one doctoral and one postdoctoral position funded by the ERC (European Research Council).

This project, entitled Constrained Low-Rank Matrix Approximations - Theoretical and Algorithmic Developments for Practitioners, focuses on the theory, algorithms and applications of low-dimensional representations of high-dimensional data based on low-rank matrix approximations; see for a description of the project and the objectives. The successful candidate will have the flexibility to choose a topic within the range of this project.

Your profile is a MSc/PhD in applied mathematics, mathematics, computer science, or a related discipline. You must have an expertise in at least one of these fields: optimization, computational complexity, numerical linear algebra, data mining and machine learning, hyperspectral imaging. You should have excellent programming skills in a numerical language (such as Matlab), and good communications skills, both written and oral, in English.

The positions remain open until they are filled. The starting date is flexible (ideally in September 2018).

Please see for more details.

Postdoctoral Position, Computational Machine Learning, Los Alamos National Laboratory

The Geophysics Group (EES-17) in the Earth and Environmental Sciences (EES) Division at Los Alamos National Laboratory (LANL) has an immediate opening for a creative and resourceful postdoc candidate with strong machine learning and computational science skills. The successful candidate will develop novel computational techniques based on machine learning methods, and apply them to geophysical data set for subsurface characterization and monitoring. The term of the appointment is two years, with the option to extend to a third year depending on the performance and funding availability.

Please see more details and apply here:

In addition to applying on-line, please send a cover letter detailing qualifications and research interests, a curriculum vitae/resume, and names of three references to Youzuo Lin (

The positions remain open until they are filled.

Givens Associate program at Argonne for PhD students

The Mathematics and Computer Science (MCS) Division at Argonne National Laboratory is developing innovative techniques in numerical computing and computational mathematics. The Givens Associate program is intended to encourage graduate students who are beginning careers in numerical analysis or computational mathematics. Candidates must be in an accredited Ph.D. program in applied mathematics, computer science, computational science, statistics, or a related field at a U.S. university (U.S. citizenship is not required).

Givens Associates will work actively with MCS scientists designing, analyzing, and implementing numerical and statistical algorithms. For further information about particular applied mathematics, numerical software, and statistics research areas in MCS, see

The deadline for all application materials is March 1, 2018. Please see complete details at

Submissions for next SIAM-LA digest

The next SIAM-LA Digest is due to be sent out on Mar 05, 2018. Please send any postings for the next Digest to siam-la at Only SIAG/LA members may submit postings. To contact the list owner, send an email to siam-la-owner at