NA Digest, V. 22, # 2

NA Digest Monday, January 10, 2022 Volume 22 : Issue 2


Today's Editor:

Daniel M. Dunlavy
Sandia National Labs
dmdunla@sandia.gov

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http://icl.utk.edu/na-digest/


From: Georgios Akrivis akrivis@cse.uoi.gr
Date: January 10, 2022
Subject: Vassilios A. Dougalis (1949-2022)


It is with great sadness that we announce the passing of Vassilios A.
Dougalis on January 1, 2022.

Vassilios was born in Athens, Greece, in 1949. He obtained the
Bachelor's degree from Princeton in 1971, and the Master's and Ph.D.
from Harvard in 1973 and 1976, respectively. He joined the
Mathematics Department of the University of Tennessee, Knoxville as an
Assistant Professor in 1976 and was promoted to Associate Professor in
1982. In 1983 he returned to Greece and held Professor Positions at
the University of Crete (1983-91), the National Technical University
of Athens (1991-95), and the University of Athens (1995-2016). Since
2016 he was Emeritus Professor. Furthermore, he was Director of the
Institute of Applied and Computational Mathematics,
FO.R.T.H. (2004-2016), and Vice Chairman and Chairman of the Board of
Directors of FO.R.T.H. (2009- 2016). V. Dougalis made a series of
fundamental contributions in the field of numerical methods for
evolution p.d.e's, and in particular for linear and nonlinear wave
equations. In the last forty years, he was the leading Numerical
Analyst, and one of the most knowledgeable and influential
mathematicians in Greece. He was an outstanding teacher and an
acknowledged mentor of many young numerical analysts.

He is survived my his wife Titina, his daughter Anastasia, his son
Achilles, and two grandchildren. He will be sorely missed by his many
students, the mathematics community in Greece and by his many friends
and collaborators in Greece and abroad.

Georgios Akrivis and Charalambos Makridakis


From: Robert van de Geijn rvdg@cs.utexas.edu
Date: January 05, 2022
Subject: MOOCs on linear algebra and HPC


We have launched new offerings of our four Massive Open Online Courses
on edX:

- Linear Algebra: Foundations to Frontiers (LAFF), a full-semester
undergraduate introduction to linear algebra designed with those
interested in computing in mind.

- Advanced Linear Algebra: Foundations to Frontiers (ALAFF), a full-
semester graduate course on numerical linear algebra.

- LAFF-On Programming for Correctness, a 6 week course that teaches
some of the core mathematics that underlies reasoning about
programming, with an application to matrix computations. The
techniques have been key to the development of our libflame
high-performance dense linear algebra library this is, for example,
part of AMD's math libraries solution.

- LAFF-On Programming for High Performance, a 4 week course that uses
matrix-matrix multiplication to teach core ideas of HPC. Learners
discover some of the basic techniques that underlie the BLAS-like
Library Instantiation Software (BLIS) framework, arguably the
gold-standard high- performance Basic Linear Algebra Subprograms
(BLAS) framework. A related paper received the SIAM Activity Group on
Supercomputing Best Paper Prize in February 2020, as discussed in our
SIAM News article
(https://sinews.siam.org/Details-Page/blis-blas-and-so-much-more).

All four courses are self-paced. All materials are available for free
to auditors. A Verified Certificate (now priced at $99) is available
to those who desire such an acknowledgement of accomplishment.

Some of the philosophy behind the creation of these courses is also
discussed in the SIAM News article "Teaching Numerical Linear Algebra
Online".
https://sinews.siam.org/Details-Page/teaching-numerical-linear-algebra-online

For additional information, visit http://ulaff.net.


From: Tom=E1=B9 Oberhuber oberhuber.tomas@gmail.com
Date: January 07, 2022
Subject: Numerical Software, Template Numerical Library


We are proud to present TNL - Template Numerical Library. TNL is a
collection of building blocks that facilitate the development of
efficient numerical solvers and HPC algorithms. It is implemented in
C++ using modern programming paradigms in order to provide a flexible
and user- friendly interface similar to, for example, the C++ Standard
Template Library. TNL provides native support for modern hardware
architectures such as multicore CPUs, GPUs, and distributed systems,
which can be managed via a unified interface. The main features of TNL are:

1. Unified memory management for CPUs and GPUs. 2. BLAS-like
functions enclosed to templated vectors and expression templates for
simple and efficient vector operations. 3. Flexible parallel
reduction, parallel scan and parallel sorting for GPUs and multicore
CPUs. 4. Various types of matrices like dense, tridiagonal,
multidiagonal and general sparse matrices based on a number of
different formats. 5. Lambda matrices with matrix elements defined by
C++ lambda functions. 6. Segments - data abstraction of sparse matrix
formats. 7. Linear solvers - CG, BiCGStab, GMRES, TFQMR, Jacobi, SOR.
8. Preconditioners for linear solvers - Jacobi, ILU0 (CPU only), ILUT
(CPU only). 9. ODE solvers - Euler, Runge-Kutta-Merson.
10. Unstructured numerical meshes (including distributed) with import
from Netgen, VTK, VTU and PVTU.

TNL is an affiliated project of Numfocus (www.numfocus.org). For more
information visit the project's website (www.tnl-project.org).


From: Charles Audet charles.audet@polymtl.ca
Date: January 05, 2022
Subject: New Book, Optimisation Continue (in French)


There are few graduate-level continuous optimization textbooks written in
French. Charles Audet has published one at Polytechnique Montreal,
called "Optimisation Continue" based on the material that he developed
teaching the subject over the last 15 years.

http://www.presses-polytechnique.ca/fr/optimisation-continue


From: Pamela Bye pam.bye@ima.org.uk
Date: January 07, 2022
Subject: IMA Numerical Linear Algebra and Optimization, UK, Jun/Jul 2022


29 June - 1 July 2022, University of Birmingham, UK
https://ima.org.uk/12530/7th-ima-conference-on-numerical-linear-algebra-and-optimization/

The IMA is pleased to announce the Seventh Biennial IMA Conference on
Numerical Linear Algebra and Optimization. The success of modern
codes for large-scale optimization is heavily dependent on the use of
effective tools of numerical linear algebra. On the other hand, many
problems in numerical linear algebra lead to linear, nonlinear or
semidefinite optimization problems. The purpose of the conference is
to bring together researchers from both communities and to find and
communicate points and topics of common interest. This Conference has
been organised in cooperation with the Society for Industrial and
Applied Mathematics (SIAM).

Conference topics include any subject that could be of interest to
both communities, such as: Direct and iterative methods for large
sparse linear systems. Eigenvalue computation and optimization.
Large-scale nonlinear and semidefinite programming. Effect of
round-off errors, stopping criteria, embedded iterative procedures.
Optimization issues for matrix polynomials Fast matrix computations.
Compressed/sparse sensing PDE-constrained optimization Distributed
computing and optimization Applications and real time optimization

Registration: https://my.ima.org.uk/

Key deadlines:
Mini-symposia proposals: 31 January 2022
Notification of acceptance of mini-symposia: 14 February 2022
Abstract submission: 28 February 2022
Notification of acceptance of abstracts: 31 March 2022

COVID: We plan to run conferences in person as advertised; however, if
government guidance changes then we will consider holding affected
events online using Zoom.



From: Peter Kritzer peter.kritzer@oeaw.ac.at
Date: January 10, 2022
Subject: Monte Carlo and Quasi-Monte Carlo Methods, Austria, Jul 2022


The 15th International Conference on Monte Carlo and Quasi-Monte Carlo
Methods in Scientific Computing (MCQMC 2022) will be held in Linz,
Austria, on July 17-22, 2022. We hope that by this time international
travel will resume to an extent such that we can hold the meeting with
many participants being physically present.

The conference is focused on theoretical and practical topics related
to Monte Carlo and quasi-Monte Carlo methods, discrepancy theory,
complexity and tractability of multivariate problems, rare event
simulation, and similar problems.

Plenary talks and tutorials will be given by: Andrea Barth
(Stuttgart), Dmitriy Bilyk (Minnesota), Michael Feischl (Vienna), Mike
Giles (Oxford), Frances Y. Kuo (Sydney), Andrea Montanari (Stanford),
Erich Novak (Jena), Chris J. Oates (Newcastle/Alan Turing Institute).
Ian H. Sloan (Sydney), Gabriel Stoltz (CERMiCS/Ecole des Ponts),
Aretha Teckentrup (Edinburgh).

Further information and the call for submissions is available at the
conference homepage:
https://www.ricam.oeaw.ac.at/events/conferences/mcqmc2022/



From: Abani Patra Abani.Patra@tufts.edu
Date: January 04, 2022
Subject: UQ for ML Integrated Physics Modeling, USA, Aug 2022


USACM Thematic Conference on Uncertainty Quantification for Machine
Learning Integrated Physics Modeling (MLIP)
August 18-19, 2022
Crystal City, Arlington, Virginia
https://sites.google.com/usacm.org/uq-mlip/home

Computational models of real world systems are rapidly integrating
data- driven models from the field of Machine Learning with
first-principles based physics models. The uncertainty associated with
each class of models needs careful characterization and the
quantification of uncertainties in outcomes of the integrated models
demands for novel approaches or extensions of existing
methodologies. The scope also includes their applications or
extensions to many related sub-topics including digital twinning,
large scale integrated computations, active decision making in UQ
frameworks, etc.

The objectives of the conference are to bring together leading
experts, scientists, young researchers, in these domains of interest
in order to exchange about the latest developments and identify
challenges and opportunities to advance the field.

Sponsored by the Uncertainty Quantification and Probabilistic Modeling
Technical Thrust Area of the U. S. Association for Computational
Mechanics


From: Sue Thorne sue.thorne@stfc.ac.uk
Date: January 07, 2022
Subject: Computational Scientist Positions, Extreme Scale Computing, UK


Due to the continuing success of the Hartree Centre at the Science and
Technology Facilities Council (part of UK Research and Innovation), we
are seeking Computational Scientists and Mathematicians to work on
ground breaking projects in high performance computing, big analytics,
numerical linear algebra and optimization, and AI. The successful
candidate will be working with the latest architectures and
technologies to meet the needs of UK industry.

The Hartree Centre is mainly located at the Daresbury Laboratory
(Warrington, Cheshire) but there is also to scope to be based with the
Hartree Centre Teams based at the Rutherford Appleton Laboratory
(Didcot, Oxfordshire) and the Royal Observatory (Edinburgh).

The deadline for submissions is 16th January 2022. Further details,
including how to apply, are available at http://h.rfer.us/UKSBSH1BqK


From: Tobias Weinzierl tobias.weinzierl@durham.ac.uk
Date: January 07, 2022
Subject: Assistant Professor Position, Scientific Computing, Durham Univ


The Department of Computer Science at Durham University is rapidly
expanding. As part of the growth of its research group around
scientific computing, the department has intensified its collaboration
with Durham's Advanced Research Computing (ARC) directorate and
Durham's three national and regional supercomputing installations
(Bede, Cosma and Hamilton), it has started to install its own set of
"experimental" hardware, and it has established several industry
collaborations (NVIDIA, Intel, The RSC Group, and others). It also
champions an Msc in Scientific Computing and Data Analysis (MISCADA).

https://durham.taleo.net/careersection/du_ext/jobdetail.ftl?job=3D22000020&tz=3DGMT%2B00%3A00&tzname=3DEurope%2FLondon

We search for a new colleague who wants to establish a career and make
a contribution to the development of the Department's research around
scientific computing. We wish to strengthen our world-leading
expertise around large-scale numerical simulations, to strengthen our
links with industry and computational disciplines in Durham (Physics,
Earth Sciences, Mathematics, Chemistry, and other disciplines), and to
intensify our collaboration with Durham's three supercomputing centres
(ARC, N8, DiRAC). Areas of interest include, but are not limited to
performance engineering, novel supercomputing architectures,
programming models and numerical schemes. Candidates that complement
our existing theoretical strengths and add a strong supercomputing
flavour to our research portfolio are particularly encouraged to
apply. This is a permanent academic position. Please note that we
currently have two positions advertised in this area (one on the
assistant and one on the associate prof level) and we intent to make
at least two hires.


From: Michele Benzi michele.benzi@sns.it
Date: January 09, 2022
Subject: Junior Visiting Positions, Multiple Areas, CRM-Pisa


The "Centro di Ricerca Matematica Ennio De Giorgi" (CRM-PISA) invites
applications for SIX two-year Junior Visiting Positions (2022-2024)
for the following subject matters:

1. Algebraic Geometry and/or Number Theory;
2. Topology, Differential Geometry and/or Geometric Analysis;
3. Partial Differential Equations and/or Probability;
4. Numerical Analysis and/or Financial Mathematics;
5. Dynamical Systems (2 positions are available).

Successful candidates will be new or recent PhDs in Mathematics with
an exceptional research potential. PhD students can also apply,
provided they obtain their PhD no later than 1st October 2022.
Candidates must apply for a specific and single subject matter among
the 5 specified above.

New Deadline for application: 25th January 2022.

To submit application please link to the ANNOUNCEMENT at:
https://amministrazionetrasparente.sns.it/bando/junior-visiting-positions-2022-2024

For additional information e-mail job.opportunities@sns.it .



From: The Recruitment Coordinator vacancies@maths.ox.ac.uk
Date: January 08, 2022
Subject: Lecturer Position, Applied Mathematics, Oxford


The Mathematical Institute, University of Oxford, is seeking to
appoint a Departmental Lecturer in Applied Mathematics. The
appointment will be in collaboration with Christ Church, and is full
time for a fixed period of three years, from 1 April 2022 or as soon
as possible thereafter.

As Departmental Lecturer, you will engage in advanced study and
academic research in applied mathematics and contribute to
Departmental teaching. You will deliver lectures to undergraduate
and/or graduate students, and high-quality undergraduate tutorial
teaching to mathematicians at Christ Church, for an average of six
hours per week over the 24 weeks of the academic year, weighted in
accordance with the Senior Tutor's Committee scales.

Applications for this vacancy are to be made online. To apply for this
vacancy and for further information, including a job description and
selection criteria, please click on the link below:

https://my.corehr.com/pls/uoxrecruit/erq_jobspec_details_form.jobspec?p_id=3D155309

Only applications received before 12.00 noon UK time on Tuesday 1st
February 2022 can be considered.


From: Basque Center for Applied Mathematics recruitment@bcamath.org
Date: January 04, 2022
Subject: Postdoc Position, Infection Hypothesis of Alzheimer's Disease


New position: Postdoctoral Fellow on Topological data analysis,
Molecular Simulations and Machine learning applied to Infection
Hypothesis of Alzheimer's Disease in the Basque Center for Applied
Mathematics with Prof. Serafim Rodrigues. The gross annual salary of
the Fellowship will be 28.000 - 32.000 Euro.

Applicants must have their PhD completed before the contract starts.

Scientific Profile: Strong background in mathematics, computational
physics, computational quantum chemistry. Strong background in
Topological Data Analysis, Geometry and notions of Machine learning.
Track record on all-atom molecular dynamics and network theory.
Desirable if the candidate has knowledge of X-ray crystallography,
FRET experiments and other receptor-ligand assays. Good practice in
using data from RCSB PDB database and working with protein complexes.
Good programming skills in Python and/or C/C++. Interest and
disposition to work in interdisciplinary groups.

Required documents: CV, Letter of interest, 2 recommendation letters,
Statement of past and proposed future research (2-3 pages).

http://www.bcamath.org/en/research/job/ic2021-12-postdoctoral-fellow-on-infection-hypothesis-of-azheimer-s-disease


From: Christoph Lehrenfeld lehrenfeld@math.uni-goettingen.de
Date: January 10, 2022
Subject: Postdoc Position, Research Software and Data, Univ of Goettingen


The Collaborative Research Center (CRC) 1456 Mathematics of
Experiment: The challenge of indirect measurements in the natural
sciences at the Georg-August-University Gottingen started in 2021;
more information on the CRC can be found at
https://www.uni-goettingen.de/en/628179.html. The infrastructure
project supports the constituent projects to meet the highest
standards in reproducible research and collaborate on software
projects and data from the natural sciences. Therefore, the University
of Gottingen and the University Medical Center Gottingen offer a
position for a PostDoc candidate (f/m/d). The position should be
filled as soon as possible. The salary is in accordance with the
German public service salary scale (E13 TV-L). The position is offered
with 100 % of the regular working hours.

The application deadline for both PostDoc positions is February 13,
2022.

Further details can be found here:
https://www.uni-goettingen.de/de/305402.html?cid=3D15981
(english version below the german version)

If you have any questions, please contact Eva Hetzel via e-mail
(eva.hetzel@math.uni-goettingen.de).


From: Christoph Lehrenfeld lehrenfeld@math.uni-goettingen.de
Date: January 10, 2022
Subject: Postdoc Position, Univ of G<ö>ttingen


The Institute for Numerical and Applied Mathematics (NAM) at the
University of Gottingen invites applications for a permanent PostDoc
Position in Scientific Computing and system administration. At the NAM
different algorithms from different disciplines of applied mathematics
are developed, ranging from optimization, image processing, inverse
problems to numerics of PDEs. We are seeking candidates with expertise
in numerical software development and system administration. The
candidate is also expected to conduct research and do independent
teaching.

More details can be found here:
https://www.uni-goettingen.de/en/305402.html?cid=3D100967

The deadline to apply for this position is January 23,
2022. Candidates from underrepresented groups are encouraged to apply.


From: Omar Laghrouche o.laghrouche@hw.ac.uk
Date: January 07, 2022
Subject: PhD Position, Computational Mechanics, Heriot-Watt Univ


A fully funded PhD position on "Monitoring and modelling of ground
vibration activity from onshore and offshore wind farms" is avialble
at Heriot-Watt University, Scotland, from September 2022.

This project aims to analyse data from wind turbine vibrations, and to
investigate the seismic wave propagation using numerical modelling. A
natural component of this study is the understanding of how best to
represent the wind turbine as a seismic source, both onshore and
offshore. To aid these investigations, we will also consider the tower
and blade response to wind, based on previous finite element
modelling. The study will include the coupling to realistic ground
models, response to wind speed and direction, and will tie the results
back to a database of observations collected from seismic sensors
monitoring a real wind farm in the UK. This project will contribute to
a better understanding of wind turbines as a source of vibration, the
seismic waves that propagate, the extent to which waves decay with
distance, and hence the critical radius of influence around such
installations. It will also highlight the potential use of these
vibrations for shallow subsurface monitoring.

The applicant - a successful candidate is expected to possess
undergraduate and master's degrees in Geophysics, Seismology, Applied
Mathematics, and/or Engineering. Understanding of the theory of
seismic wave propagation, and previous use of finite difference and/or
finite element modelling would be an advantage.

Apply online by the 31st January 2022 via the link given in:
https://www.hw.ac.uk/uk/schools/energy-geoscience-infrastructure-society/postgraduate-research/monitoring-and-modelling-of-ground-vibration-activity-from.htm


From: Attila Tan=E1cs tanacs@inf.u-szeged.hu
Date: January 07, 2022
Subject: Contents, ACTA CYBERNETICA, 25 (2)


ACTA CYBERNETICA, 25(2), Special Issue of the 12th Conference of PhD
Students in Computer Science
https://cyber.bibl.u-szeged.hu/index.php/actcybern/issue/view/Vol_25_2

Preface, Attila Kertesz

Execution Time Reduction in Function Oriented Scientific Workflows,
Ali Al-Haboobi and Gabor Kecskemeti

Symbolic Regression for Approximating Graph Geodetic Number, Ahmad
T. Anaqreh, Boglarka G.-Toth, and Tamas Vinko

A Geometric Method for Accelerated Sphere Tracing of Implicit
Surfaces, Csaba Balint and Matyas Kiglics

Geometric Distance Fields of Plane Curves, Robert Ban and Gabor
Valasek

Towards Version Controlling in RefactorErl, Jenifer Tabita
Ciuciu-Kiss, Melinda Toth, and Istvan Bozo

Using the Fisher Vector Approach for Cold Identification, Jose Vicente
Egas-Lopez and Gabor Gosztolya

A Comparative Study on the Privacy Risks of Face Recognition
Libraries, Istvan Fabian and Gabor Gyorgy Gulyas

Speech De-identification with Deep Neural Networks, Adam Fodor, Laszlo
Kopacsi, Zoltan Adam Milacski, and Andras Lorincz

Toolset for Supporting the Research of Lattice Based Number
Expansions, Peter Hudoba and Attila Kovacs

Taxonomy for Trade-off Problem in Distributed Telemedicine Systems,
Zoltan Richard Janki and Vilmos Bilicki

Evaluating the Performance of Novel JWT Revocation Strategy, Laszlo
Viktor Janoky, Peter Ekler, and Janos Levendovszky

Lamred: Location-Aware and Privacy Preserving Multi-Layer Resource
Discovery for IoT, Mohammed B. M. Kamel, Peter Ligeti, and Christoph
Reich

Distance-Based Skeletonization on the BCC Grid, Gabor Karai and Peter
Kardos

Rootkit Detection on Embedded IoT Devices, Roland Nagy, Krisztian
Nemeth, Dorottya Papp, and Levente Buttyan

Zero Initialized Active Learning with Spectral Clustering using
Hungarian Method, David Papp

Energy-Efficient Routing in Wireless Sensor Networks, Daniel Pasztor,
Peter Ekler, and Janos Levendovszky

Traquest Model - A Novel Model for ACID Concurrent Computations,
Daniel Ratai, Zoltan Horvath, Zoltan Porkolab, and Melinda Toth

A Parallel Event System for Large-Scale Cloud Simulations in
DISSECT-CF, Dilshad Hassan Sallo and Gabor Kecskemeti

Access Control of EHR Records in a Heterogeneous Cloud Infrastructure,
Zoltan Szabo and Vilmos Bilicki

Protocol State Machine Reverse Engineering with a Teaching-Learning
Approach, Gabor Szekely, GergQ Ladi, Tamas Holczer, and Levente
Buttyan

Component-based Error Detection of P4 programs, Gabriella Toth and
Mate Tejfel

Footvector Representation of Curves and Surfaces, Gabor Valasek, Csaba
Balint, and Andras Leitereg


From: GEORGE ANASTASSIOU ganastss2@gmail.com
Date: January 05, 2022
Subject: Contents, J Computational Analysis and Applications, 30


JOURNAL OF COMPUTATIONAL ANALYSIS AND APPLICATIONS
(JOCAAA) VOLUME 30, 2022 was published

Contents:
http://www.eudoxuspress.com/jocaaa2022.html

End of Digest
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