Subject: NA Digest, V. 21, # 27 NA Digest Tuesday, July 20, 2021 Volume 21 : Issue 27 Today's Editor: Daniel M. Dunlavy Sandia National Labs [log in to unmask] Today's Topics: Software Release: ChASE v. 1.0.0 Firedrake Tutorial/ARCHER2, ONLINE, Aug 2021 SIAM Parallel Processing, Seattle, Feb 2022 Professor/Associate/Assistant Positions, HKBU Postdoc Position, Adaptive Solution of PDEs, Univ of Milan Postdoc Position, Texas A&M Univ-San Antonio Postdoc Position, Analysis/NA, Germany Postdoc Positions, Numerical Linear Algebra, Univ of Manchester Postdoc Position, Univ of Sao Paulo, Brazil Postdoc Position, NA/Comp Math, City Univ of Hong Kong PraeDoc Positions, Visualization and Data Analysis, Univ of Vienna Contents, Applied Mathematics and Optimization, 84 (1) Contents, Statistics, Optimization and Information Computing, 9 (2) Contents, Comm on Applied Mathematics and Computation, 3 (2) Subscribe, unsubscribe, change address, or for na-digest archives: http://www.netlib.org/na-digest-html/faq.html Submissions for NA Digest: http://icl.utk.edu/na-digest/ ------------------------------------------------------- From: Edoardo Di Napoli [log in to unmask] Date: July 15, 2021 Subject: Software Release: ChASE v. 1.0.0 We are happy to announce the official release of the ChASE library version 1.0.0. ChASE (Chebyshev Accelerated Subspace Eigensolver) is an eigensolver for the solution of the extremal spectrum of algebraic eigenproblems generated by dense real symmetric and complex Hermitian matrices. ChASE is a modern parallel C++ library. The library comes in two versions and multiple builds. The current GPU build supports the use of one or more GPU cards per computing node in a number of flexible configurations. For more information please visit the official online documentation at https://chase-library.github.io/ChASE ChASE 1.0.0 has been extensively tested on both artificial problems and eigenproblems extracted from electronic structure simulations up to matrices of size N~5e+05 on a number of different supercomputing clusters (Blue Waters, JUWELS, JUWELS Booster, JURECA-DC). The library has been integrated in a Bether-Salpeter code (https://doi.org/10.1016/j.cpc.2021.108081). ChASE is particularly effective when used to solve for sequences of correlated eigenproblems such as the one appearing from the Self-Consistent Field iterations of Density Functional Theory codes. ChASE library can be freely downloaded from https://github.com/ChASE-library/ChASE The development of the library is partly supported by the PRACE 6IP WP8 project "Forward looking Software Solutions". The main development team is the Simulation and Data Lab Quantum Materials located at the Juelich Supercomputing Centre (Germany) supported by the Rudjer Boskovic Institute (Croatia) for the multi-GPU implementation. ------------------------------------------------------- From: Jack Betteridge [log in to unmask] Date: July 15, 2021 Subject: Firedrake Tutorial/ARCHER2, ONLINE, Aug 2021 The Firedrake team will be delivering an online training session on 23rd August 2021, 13:00 - 17:00 BST (12:00 - 16:00 UTC). This course will introduce users to Firedrake, an automated system for the solution of partial differential equations using the finite element method. The training will also be an opportunity to get hands on experience using ARCHER2, the UK national supercomputer. Participants will gain experience writing Firedrake code to solve PDEs, configure solvers and preconditioners for HPC and run the resultant code on ARCHER2. Our course is aimed at researchers who have little or no previous experience of using Firedrake and have a desire to run on HPC. For further details and registration see: https://www.archer2.ac.uk/training/courses/210823-firedrake/ ------------------------------------------------------- From: Xiaoye Li [log in to unmask] Date: July 12, 2021 Subject: SIAM Parallel Processing, Seattle, Feb 2022 The SIAM Conference on Parallel Processing for Scientific Computing (SIAM PP22) and the SIAM Activity Group on Supercomputing (SIAG- SC) invite research paper submissions on parallel algorithms, scalable scientific computing, simulation, visualization, and machine learning. The SIAM PP conference series focuses on the design of numerical and discrete algorithms in the context of modern parallel computer architectures, covering both theory and practice. The SIAM PP22 conference will take place on February 23-26, 2022, Seattle, U.S.A. https://www.siam.org/conferences/cm/conference/pp22 Included Themes: Compilers and programming systems; Data analysis and visualization; Education in HPC; Fault-tolerance; Large-scale parallel applications; Parallel computer systems; Performance analysis, tuning, and debugging; Reproducibility; Scalable parallel algorithms; Scientific workflows. Special Themes: Algorithms and applications on multiphysics and multiscale computing; Frontiers of scientific computing; Integration of scientific computing and machine learning methods; Post Moore systems and algorithms; Verification, validation, and uncertainty quantification. Submission format: 10 pages without references. Supplementary material will be allowed. Papers due: October 1, 2021 Decisions: Mid November 2021 Camera-ready: Mid December, 2021 Submission Site: https://easychair.org/conferences/?conf=pp22 All papers must be prepared using the SIAM proceedings format: https://www.siam.org/conferences/about-siam-conferences/proceedings#Macro ------------------------------------------------------- From: Department of Mathematics, Hong Kong Baptist University [log in to unmask] Date: July 13, 2021 Subject: Professor/Associate/Assistant Positions, HKBU 1. Professor / Associate Professor / Assistant Professor (PR0348/19-20) The Department invites applications for one tenure-track faculty vacancy at the Professor/Associate Professor/Assistant Professor rank specialising in optimisation, or an area which complements the Department's research profile. 2. Professor / Associate Professor / Assistant Professor (PR0015/21-22) The Department invites applications for a tenure-track faculty vacancy at the Professor/Associate Professor/Assistant Professor rank specialising in applied/computational mathematics, especially with numerical partial differential equations and scientific computing, or an area which complements the Department's research profile. Applicants should possess a relevant PhD degree with solid track record in research. Teaching experience is preferred. They are expected to be energetic and motivated and have strong commitment in teaching. They will also actively participate in current research and teaching programmes of the Department and be able to support its independent research with external research grants. Those with substantial teaching experience and a good record of scholarly achievements will be considered for appointment at the rank of Associate Professor/Professor. Initial appointment will be offered on a fixed-term contract of up to three years. Re-appointment thereafter will be subject to mutual agreement. Rank and salary will be commensurate with qualifications and experience. Applicants are invited to submit their applications at the HKBU e-Recruitment System (jobs.hkbu.edu.hk) with samples of publications, preferably three best ones out of their most recent publications/works. They should also request two referees to send in confidential letters of reference, with PR number (stated above) quoted on the letters, to the Human Resources Office (Email: [log in to unmask]) direct. Those not invited for interview 4 months after the closing date may consider their applications unsuccessful. All application materials including publication samples, scholarly/creative works will be disposed of after completion of the recruitment exercise. Details of the University's Personal Information Collection Statement can be found at http://hro.hkbu.edu.hk/pics. The University reserves the right not to make an appointment for the post advertised, and the appointment will be made according to the terms and conditions then applicable at the time of offer. Closing date: 31 August 2021 (or until the positions are filled) ------------------------------------------------------- From: Andreas Veeser [log in to unmask] Date: July 13, 2021 Subject: Postdoc Position, Adaptive Solution of PDEs, Univ of Milan A postdoctoral research fellowship is available at the Mathematics Department of the University of Milan, under the supervision of Andreas Veeser. The post holder is expected to contribute to research around the adaptive solution of partial differential equations. The duration is 13 months and the deadline of applications is August 30, 2021. For further information and application details, see https://www.unimi.it/en/node/42283, clicking "english version". ------------------------------------------------------ From: Burak Aksoylu [log in to unmask] Date: July 15, 2021 Subject: Postdoc Position, Texas A&M Univ-San Antonio The Department of Mathematical, Physical, and Engineering Sciences at Texas A&M University-San Antonio seeks a full-time postdoctoral researcher appointment beginning on August 19, 2021. The official position announcement and application steps are posted at https://tamus.wd1.myworkdayjobs.com/en-US/TAMUSA_External/job/San-Antonio-TAMUSA/Postdoctoral-Fellow_R-039516 Candidates should demonstrate the ability to publish research outcomes and writing grant proposals. Successful candidates will carry a 1+2 teaching workload for the fall and spring semesters. The mentors of the postdoctoral fellow will be Drs. Burak Aksoylu and Kun Gou. The research topic involves mathematical and numerical aspects of nonlocal formulations applied to peridynamics, fracture mechanics, soft tissue mechanics, and solid mechanics at large. A background in computational mathematics and/or computational mechanics is desired. The ability to program in C, C++, Python, Matlab, or Mathematica is a plus. This is a one-year position and if the external grant proposals are successful the position may be renewed, but renewal is not guaranteed. The salary is $45,000 for 12 months. Review of applications will begin immediately and the position is open until filled. Finalists must request at least two current letters of recommendation to be sent directly by the authors to the Search Committee Chair, Dr. Burak Aksoylu, One University Way, SciTech 311, San Antonio, Texas 78224 via USPS or email to [log in to unmask] ------------------------------------------------------- From: Thomas Richter [log in to unmask] Date: July 20, 2021 Subject: Postdoc Position, Analysis/NA, Germany The Institute of Analysis and Numerics of the Faculty of Mathematics deals with the modeling, analysis and numerics of partial differential equations and collaborates with various application areas, e.g. in medicine, natural sciences and engineering. We are looking for a personality who will support us in teaching, research and administration in the long term. After a transition period, teaching support in German is expected. The position will initially be filled for three years on a temporary basis as a qualification position. As part of the qualification process, goals for professional and personal development will be established. If these goals are met, the employment relationship is intended to become permanent. The complete job advertisement and information on how to apply can be found on this website: https://ovgu.b-ite.careers/jobposting/ab4912cd7394c197d7dbf84904341eeaae55a23e?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_m\ edium=organic ------------------------------------------------------- From: Nick Higham [log in to unmask] Date: July 20, 2021 Subject: Postdoc Positions, Numerical Linear Algebra, Univ of Manchester Two 15-month postdoctoral posts are available in the Numerical Linear Algebra Group (https://nla-group.org/) at the University of Manchester on projects developing and analyzing numerical linear algebra algorithms for high-performance computers. For details, see https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=20557 Closing date: August 17, 2021. Informal enquiries should be directed to Professor Nick Higham ([log in to unmask]). ------------------------------------------------------- From: Jose A Cuminato [log in to unmask] Date: July 16, 2021 Subject: Postdoc Position, Univ of Sao Paulo, Brazil Post-Doc position in Modelling the Wheatley heart valve This project involves the mathematical modelling of blood flow from the left ventricle into and through a novel heart valve. The flow emerges from the left ventricle as a spiral flow and enters the aortic valve. This artificial valve consists of a titanium ring attached to a special flexible polymer with a complex mathematical shape designed to rapidly open during systole and close rapidly during diastole. It has three leaflets (flaps) which may be modelled as curved elastic membranes. Thus the modelling problem involves fluid/structure interaction, that may be modelled by the immersed boundary method. The fluid (blood) may require to be treated as non-Newtonian. The candidate will need to have expertise in computational fluid dynamics, especially in CFD packages for simulation of fluid-structure interactions or the immersed boundary method, a good working knowledge of fluid simulation package(s), and a high-level programing language. The candidate will be based in Sao Carlos, Brazil, and will be required to spend some time at Strathclyde University, Glasgow, UK., Covid permitting. The post is initially for one year and can be renewed for another two depending on performance. Starting date is expected to be from October 1st, 2021. To apply, please send a CV and a reference letter to [log in to unmask] . Applications are open until August/31st, 2021. ------------------------------------------------------- From: Lina Zhao [log in to unmask] Date: July 18, 2021 Subject: Postdoc Position, NA/Comp Math, City Univ of Hong Kong A postdoctoral position is available in the research group of Dr. Lina Zhao. Candidates with research experience in numerical analysis, PDEs, machine learning are all welcome to apply. The position can be a 3-year contract and can start anytime before the end of 2021. Please send a CV (with a publication list) to E-mail address: [log in to unmask] directly for an application. ------------------------------------------------------- From: Michaela Hubweber [log in to unmask] Date: July 16, 2021 Subject: PraeDoc Positions, Visualization and Data Analysis, Univ of Vienna The University of Vienna seeks to fill the position as soon as possible of 2 University Assistants (prae doc) at the Research Group Visualization and Data Analysis. The research group Visualization and Data Analysis (Univ.-Prof. Dr. Torsten Moller, Dr. Laura Koesten) at the Faculty of Computer Sciences invites applications for the position of a research assistant aiming at a PhD degree. We seek a highly motivated PhD researcher with a background in computer science, information science, or a related field. The successful applicant has the opportunity to propose their own project idea (in the areas of data science, data visualization, data practices or research data management) or to work in collaboration with the project "Talking charts", funded by the Vienna Science and Technology Fund (WWTF). The duration for this prae doc position is 4 years starting in the mid of October. Applications including a letter of motivation, a full detailed curriculum vitae (including contact information of 3 referees), and a research statement should be submitted via the Job Center to the University of Vienna (http://jobcenter.univie.ac.at) no later than 29.07.2021 (Reference number: 12127) or 4.8. (Reference number: 12125), mentioning reference number. The detailed job call and application procedures can be found at: https://univis.univie.ac.at/ausschreibungstellensuche/flow/bew_ausschreibung-flow?_flowExecutionKey=_c5273E4EC-4A96-47C7-E0AB-62B03C6FA334_k14BC\ 0E46-9C31-2FD8-3686-F594E1D63CB0&tid=86691.28 https://univis.univie.ac.at/ausschreibungstellensuche/flow/bew_ausschreibung-flow?_flowExecutionKey=_c253C4558-99AC-E514-E5E1-730B8850E510_kD159\ 74C6-5012-581A-7B99-58E4C314C43B&tid=86689.28 ------------------------------------------------------- From: Irena lasiecka [log in to unmask] Date: July 12, 2021 Subject: Contents, Applied Mathematics and Optimization, 84 (1) Applied Mathematics and Optimization, Springer, vol 84 , Issue 1, August, 2021. https://www.springer.com/journal/245 ------------------------------------------------------- From: David G. Yu [log in to unmask] Date: July 15, 2021 Subject: Contents, Statistics, Optimization and Information Computing, 9 (2) CONTENTS, Statistics, Optimization and Information Computing, Volume 9 (2021), Issue 2 (DOI: https://doi.org/10.19139/soic.v9i2) 1. Lesaja Goran, G.Q. Wang , A. Oganian, A Full Nesterov-Todd Step Infeasible Interior-point Method for Symmetric Optimization in the Wider Neighborhood of the Central Path 2. Marah-Lisanne Thormann, Jan Farchmin, Christoph Weisser, Rene- Marcel Kruse, Benjamin Safken, Alexander Silbersdorff, Stock Price Predictions with LSTM Neural Networks and Twitter Sentiment 3. Fazlollah Lak, Morad Alizadeh, Hamid Karamikabir, The Topp-Leone odd log-logistic Gumbel Distribution: Properties and Applications 4. Hanaa Elgohari, A New Version of the Exponentiated Exponential Distribution: Copula, Properties and Application to Relief and Survival Times 5. Md. Raisul Kibria, Mohammad Abu Yousuf, Context-driven Bengali Text Generation using Conditional Language Model 6. Hector Zarate, Edilberto Cepeda, Semiparametric Smoothing Spline in Joint Mean and Dispersion Models with Responses from the Biparametric Exponential Family: A Bayesian Perspective 7. Nahla Abdellatif, Walid Bouhafs, Jerome Harmand, Frederic Jean, A Geometrical Approach for the Optimal Control of Sequencing Batch Bio- Reactors 8. Sunila Sharma, Priyanka Yadav, Nonsmooth Vector Optimization Problem Involving Second-Order Semipseudo, Semiquasi Cone-Convex Functions 9. Olawale Joshua Adeleke, Absalom El-Shamir Ezugwu, Idowu Ademola Osinuga, A New Family of Hybrid Conjugate Gradient Methods for Unconstrained Optimization 10. Iman Malmir, A Novel Wavelet-based Optimal Linear Quadratic Tracker for Time-varying Systems with Multiple Delays 11. Anass Belcaid, Mohammed Douimi, Nonconvex Energy Minimization with Unsupervised Line Process Classifier for Efficient Piecewise Constant Signals Reconstruction 12. Yuly Shipilevsky, Prime Optimization 13. Wirote Apinantanakon, Khamron Sunat, Sirapat Chiewchanwattana, A Cooperation of the Multileader Fruit Fly and Probabilistic Random Walk Strategies with Adaptive Normalization for Solving the Unconstrained Optimization Problems 14. S Balaswamy, R V. Vardhan, G Sameera, Improper Multivariate Receiver Operating Characteristic (iMROC) Curve -------------------------------------------------------- From: Communications on Applied Mathematics and Computation [log in to unmask] Date: July 20, 2021 Subject: Contents, Comm on Applied Mathematics and Computation, 3 (2) Communications on Applied Mathematics and Computation, Volume 3, Issue 2 (2021) https://www.springer.com/42967 CAMC Focused Section on Tensor Computation, D. Chu, M. Ng, L. Qi, Q., W. Wang T-Jordan Canonical Form and T-Drazin Inverse Based on the T-Product, Y. Miao, L. Qi, Y. Wei Parallel Active Subspace Decomposition for Tensor Robust Principal Component Analysis, M.K. Ng, X., Z. Wang The Spectral Radii of Intersecting Uniform Hypergraphs, P.-L. Zhang, X., D. Zhang MERACLE: Constructive Layer-Wise Conversion of a Tensor Train into a MERA, K. Batselier, A. Cichocki, N. Wong On the Complexity of Finding Tensor Ranks M. Aliabadi, S. Friedland A Focused Section on Deep Neural Network Machine Learning for Scientific Computing, W. Cai Drop-Activation: Implicit Parameter Reduction and Harmonious Regularization, S. Liang, Y. Khoo, H. Yang Learning the Mapping \mathbf {x}\mapsto \sum\limits _{i=1}^d x_i^2: the Cost of Finding the Needle in a Haystack, J. Zhang, L. Zepeda Nunez, Y. Yao, L. Lin A Non-intrusive Correction Algorithm for Classification Problems with Corrupted Data, J. Hou, T. Qin, K. Wu, D. Xiu Discovering Phase Field Models from Image Data with the Pseudo- Spectral Physics Informed Neural Networks, J. Zhao ------------------------------------------------------- End of Digest **************************