computational.science

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Call For Participation, PAW-ATM 2024: Parallel Applications Workshop, Alternatives To MPI+X
by Morris Wright, Karla Vanessa 13 Oct '24

13 Oct '24

**************************************************************** Call for Participation PAW-ATM 2024: Parallel Applications Workshop, Alternatives To MPI+X Held in conjunction with SC24, Atlanta, GA November 17, 2024 9:00am - 5:30pm (EST) Room B306 / Hybrid Event https://sourceryinstitute.github.io/PAW/ **************************************************************** Alternatives to MPI+X are worth exploring as programmer productivity becomes a major component of the time to science. Alternatives include parallel programming languages (e.g. Chapel, Regent, Fortran 2018), general purpose libraries (e.g. Charm++, COMPSs, HPX, Legion, UPC++), and domain specific libraries (e.g. Arkouda, Dask, Spark). With many options to choose from, it is hard for programmers to know which alternative models are appropriate for their application and for programming model developers to understand the opportunities for improvement. Through discussion of specific applications, PAW-ATM brings together application experts and programming model developers to improve applications and models. WORKSHOP PROGRAM 9:00 - 9:02 “PAW-ATM2024 Introduction” Karla V. Morris Wright, Elliott Slaughter, Engin Kayraklioglu, Irene Moulitsas, Bill Long, Daniele Lezzi and Kenjiro Taura Session Chair: Brad Richardson – Lawrence Berkeley National Laboratory 9:02 - 9:45 “Survey of Technologies for Developers of Parallel Applications” Wonchan Lee – NVIDIA Damian Rouson – Lawrence Berkeley National Laboratory 9:45 - 10:00 User Experience: “Resource Adaptivity at Task-Level” Jonas Posner 10:00 - 10:30 Morning Break (30 min) Session Chair: Quincey Koziol – NVIDIA 10:30 - 10:50 “Speeding-Up LULESH on HPX: Useful Tricks and Lessons Learned using a Many-Task-Based Approach” Torben Kalkhof, and Andreas Koch 10:50 - 11:10 “Lamellar: A Rust-based Asynchronous Tasking and PGAS Runtime for High Performance Computing” Ryan D. Friese, Roberto Gioiosa, Joseph Cottam, Erdal Mutlu, Gregory Henselman-Petrusek, Polykarpos Thomadakis, and Mark Raugas 11:10 - 11:30 “Applying a Task-Based Approach to Distributed Machine Learning Workflows” Fernando Vazquez-Novoa, Daniele Lezzi, Francesc Lordan, Fatemeh Baghdadi, and Davide Cirillo 11:30 - 11:50 “Accelerating Multi-GPU Embedding Retrieval with PGAS style Communication for Deep Learning Recommendation Systems” Yuxin Chen, Aydin Buluc, Katherine Yelick, and John Owens 11:50 - 12:10 “Mitigating synchronization bottlenecks in high-performance actor-model-based software” Kyle Klenk, Mohammad Mahdi Moayeri, Junwei Guo, Martyn P. Clark, and Raymond J. Spiteri 12:10 - 12:30 “Intel SHMEM: GPU-initiated OpenSHMEM using SYCL” Alex Brooks, Philip Marshall, David Ozog, Md. Wasi-ur- Rahman, Lawrence Stewart, and Rithwik Tom 12:30 - 2:00 Lunch Break (90 min) Session Chair: Michelle Strout – Hewlett Packard Enterprise 2:00 - 2:45 Distinguished Speaker: Eric Laurendeau – Polytechnique Montreal “A case study for using Chapel within the global aerospace industry” 2:45 - 3:00 User Experience: “Exploring Suffix Array Algorithms in Chapel” Michael P. Ferguson, Bonnie Hurwitz, and Shreyas Khandekar 3:00 - 3:30 Afternoon Break (30 min) 3:30 - 3:45 Session Chair: Alex Aiken – Stanford University 3:30 - 3:45 User Experience: “Just Write Fortran: Experiences with a Language-Based Alternative to MPI+X” Baboucarr Dibba, Katherine Rasmussen, Brad Richardson, Damian Rouson, David Torres, Yunhao Zhang, Ethan Gutmann, Kareem Ergawy and Michael Klemm 3:45 - 5:30 Panel Discussion: “Alternative programming models for applications at scale” Panel Chair: Christine Sweeney – Los Alamos National Laboratory Panelists: Jan Ciesko – Sandia National Laboratories Nils Deppe – Cornell University Jason DeVinney – Center for Computing Sciences Eric Laurendeau – Polytechnique Montreal Julian Samaroo – Massachusetts Institute of Technology http://sourceryinstitute.github.io/PAW/ Best Regards, PAW-ATM2024 Organizing Committee

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From Skala - WSCG2025 - Call for Papers/serv - Submission January 2025; Event May 26-29, 2025
by Prof. Ing. Vaclav Skala, CSc. 13 Oct '24

13 Oct '24

>> *CALL FOR PAPERS *& workshop proposals << >> Contact: WSCGconf(a)gmail.com - WSCG related questions << We would like to invite you to the annual WSCG conference * *WSCG 2025 - 33. International Conference on Computer Graphics, Visualization and Computer Vision 2025 (held annually in Prague/Pilsen)* www.wscg.cz OR www.wscg.eu - WEB pages are to be updated soon to be held in Prague/Pilsen, Czech Republic (as usual for 32 years) in *May 26-29, 2025* *Submission dates*: January 2025 expected Conference will be held in the *HYBRID *mode, however *physical presence is strongly preferred*. Recent papers are available in the Digital Repository o http://wscg.zcu.cz/DL/wscg_DL.htm * *Accepted papers* are published in the *Computer Science Research Notes [CSRN], ISSN 2464-4617* and *the best selected papers* are published in the *Journal of WSCG, ISSN 1213-6972* Each paper has an *individual DOI *registered with http://www.doi.org Indexed by Scopus etc. * *Recent Keynot*e speakers can be found in o http://wscg.zcu.cz/Keynotes/keynote.htm * *Register* your contact at the submission server o http://wscgreg.zcu.cz to be kept updated (there will be no CfP resent) Feel free to contact me at: * WSCGconf(a)gmail.com - WSCG related questions * skala(a)kiv.zcu.cz - in research oriented questions Yours prof. Vaclav Skala WSCG organizer since 1992 annually held in Czech Republic www.VaclavSkala.eu c/o University of West Bohemia Pilsen, Czech Republic -- ~~~~~~~~~~~~~~~~~ Prof.Vaclav Skala http://www.VaclavSkala.eu http://afrodita.zcu.cz/~skala/publications.htm tel. 37-763-2473 ID verification:https://www.zcu.cz/cs/Employees/person.html?personId=16821 c/o University of West Bohemia Computer Graphics and Visualization Faculty of Applied Sciences Dept.of Computer Science & Engineering Univerzitni 8 CZ 306 14 Plzen Czech Republic ORCID: 0000-0001-8886-4281 ResearcherID:http://www.researcherid.com/rid/F-9141-2011 Scopus Author ID:https://www.scopus.com/authid/detail.uri?authorId=7004643209 Research Gate:https://www.researchgate.net/profile/Vaclav_Skala/publications DBLP:https://dblp.org/orcid/0000-0001-8886-4281 https://dblp.org/pid/s/VaclavSkala.html ACM:https://dl.acm.org/profile/81100496969 ~~~~~~~~~~~~~~~~~~~ Jakákoli ujednání vzešlá z této e-mailové/elektronické komunikace se do jejich písemného potvrzení podepsaného oprávněnými osobami nepovažují za platná, účinná a vůči ZČU závazná. ~~~~~~~~~~~~~~~~~~~~~~~~~~~ Any arrangements arising from this e-mail / electronic communication shall not be considered valid, effective and binding upon the UWB until their written confirmation signed by the authorized persons. ~~~~~~~~~~~~~~~~~~~~~~~~~~~ -- ~~~~~~~~~~~~~~~~~ Prof.Vaclav Skala http://www.VaclavSkala.eu http://afrodita.zcu.cz/~skala/publications.htm tel. 37-763-2473 ID verification:https://www.zcu.cz/cs/Employees/person.html?personId=16821 c/o University of West Bohemia Computer Graphics and Visualization Faculty of Applied Sciences Dept.of Computer Science & Engineering Univerzitni 8 CZ 306 14 Plzen Czech Republic ORCID: 0000-0001-8886-4281 ResearcherID:http://www.researcherid.com/rid/F-9141-2011 Scopus Author ID:https://www.scopus.com/authid/detail.uri?authorId=7004643209 Research Gate:https://www.researchgate.net/profile/Vaclav_Skala/publications DBLP:https://dblp.org/orcid/0000-0001-8886-4281 https://dblp.org/pid/s/VaclavSkala.html ACM:https://dl.acm.org/profile/81100496969 ~~~~~~~~~~~~~~~~~~~ Jakákoli ujednání vzešlá z této e-mailové/elektronické komunikace se do jejich písemného potvrzení podepsaného oprávněnými osobami nepovažují za platná, účinná a vůči ZČU závazná. ~~~~~~~~~~~~~~~~~~~~~~~~~~~ Any arrangements arising from this e-mail / electronic communication shall not be considered valid, effective and binding upon the UWB until their written confirmation signed by the authorized persons. ~~~~~~~~~~~~~~~~~~~~~~~~~~~

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CFP OLA'2025 Int. Conf. Optimization & Learning @Dubai
by El-Ghazali Talbi 11 Oct '24

11 Oct '24

Apologies for cross-posting. Appreciate if you can distribute this CFP to your network. **************************************************************************************** OLA'2025 International Conference on Optimization and Learning 23-25 April 2025 Dubai http://ola2025.sciencesconf.org/ SCOPUS Springer Proceedings **************************************************************************************** OLA is a conference focusing on the future challenges of optimization and/or machine learning methods and their applications. The conference OLA'2025 will provide an opportunity to the international research community in optimization and learning to discuss recent research results and to develop new ideas and collaborations in a friendly and relaxed atmosphere. OLA'2025 welcomes presentations that cover any aspects of optimization and/or machine learning research such as big optimization and learning, optimization for learning, learning for optimization, optimization and learning under uncertainty, deep learning, new high-impact applications, parameter tuning, 4th industrial revolution, computer vision, hybridization issues, optimization-simulation, meta-modeling, high-performance computing, parallel and distributed optimization and learning, surrogate modeling, multi-objective optimization ... Submission papers: We will accept two different types of submissions: - S1: Extended abstracts of work-in-progress and position papers of a maximum of 3 pages - S2: Original research contributions of a maximum of 12 pages Important dates: =============== Paper submission deadline Dec 20, 2024 Notification of acceptance Feb 07, 2025 Proceedings: Accepted papers in categories S1 and S2 will be published in the proceedings. A SCOPUS and DBLP indexed Springer book will be published for accepted long papers. Proceedings will be available at the conference. -- *********************************************************************** OLA'2025 International Conference on Optimization and Learning (SCOPUS, Springer) April 23-25, 2025, Dubai, https://ola2025.sciencesconf.org *********************************************************************** ********************************************************************** ECCO'2025 EURO Conference on the European Chapter of Combinatorial Optimization May 8-10, 2025, Marrakech, Morocco, http://ecco2025.sciencesconf.org *********************************************************************** Prof. El-ghazali TALBI Polytech'Lille, University Lille - INRIA CRISTAL - CNRS

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The 1st International Workshop on Causality, Agents and Large Models (CALM) [extended deadline]
by Yazan MUALLA 23 Sep '24

23 Sep '24

Please, accept our apologies in case of multiple copies of this CFP. ************************************************************************************************************************************* The 1st International Workshop on Causality, Agents and Large Models (CALM) https://www.ciad-lab.fr/prima-causal-ai-workshop/ in conjunction with The 25th International Conference on Principles and Practice of Multi-Agent Systems Kyoto, Japan | November 18-24, 2024 https://sites.google.com/view/prima-2024/ ************************************************************************************************************************************** Description: ============ Causality, Agents and Large Models (CALM) represents three rapidly-growing fields within artificial intelligence research. This workshop aims to bridge the gap between these disciplines by investigating how causal reasoning can enhance the capabilities of multi-agent systems (MAS). The workshop will provide a forum for researchers to discuss theoretical foundations, practical applications, and future directions at the intersection of causal AI, Large Language Models (LLM) and MAS. CALM Workshop goals: ===================== -Explore the role of causal reasoning in enhancing decision-making, coordination, and adaptation in MAS. -Discuss technical challenges and opportunities for integrating causal AI techniques and LLM into MAS frameworks. -Foster interdisciplinary collaboration between researchers in causal reasoning, LLM, and MAS. -Identify promising directions for future research and development in this emerging area. Topics: ======= -Theoretical foundations of causal reasoning in MAS -Causal reasoning capabilities in Large Language Models -Applications of causal AI techniques in agent-based modeling and simulation -Causal inference in complex and dynamic multi-agent environments -Mechanistic Interpretability of Causality in Large Language Models -Integration of causal reasoning with decision-making and planning in MAS -Learning causal models from observational and interventional data in MAS -Causal reasoning for coordination, cooperation, and communication among agents -Challenges and opportunities for incorporating causal AI into MAS frameworks -Case studies and empirical evaluations of causal AI approaches in agents -Generative AI as preprocessing for MAS -Exploring causality with deep generative models -Digital twins and simulators for interpretable synthetic data generation -Graph neural network causal learning -Causal reinforcement learning -Interpretable/Explainable root cause analysis methods -Explainable AI with active inference techniques -Logic and argumentation-based approaches to causal reasoning Submission guidelines: ====================== Submissions will be reviewed by at least three members of the program committee, who are experts in the field. The acceptance of the submitted papers will depend on their quality, relevance, and originality. All accepted papers will be published in the Springer proceedings Communications in Computer and Information Science (CCIS) series devoted to the publication of proceedings of computer science conferences. Participants are therefore invited to submit Long papers: up to 16 pages in length (incl. references) or Short papers: up to 5 pages in length (incl. references). Papers must be edited using the LNCS format and have to be submitted electronically as PDF files via the EasyChair submission page: https://easychair.org/my/conference?conf=calm2024 Chairs: ======= -Dr. Yazan Mualla, Associate professor, CIAD, Belfort-Montbéliard University of Technology yazan.mualla(a)utbm.fr https://www.ciad-lab.fr/yazan_mualla -Dr. Liuwen Yu, Postdoc, University of Luxembourg liuwen.yu(a)uni.lu https://www.liuwenyu.me/ -Dr. Davide Liga, Postdoctoral Researcher, University of Luxembourg davide.liga(a)uni.lu -Dr. Igor Tchappi, Postdoctoral Researcher, University of Luxembourg igor.tchappi(a)uni.lu Advisory Board: =============== -Prof. Dr. Stéphane Galland, Full professor, CIAD, Belfort-Montbéliard University of Technology stephane.galland(a)utbm.fr https://www.ciad-lab.fr/stephane_galland/ -Prof. Dr. Abdeljalil Abbas-Turki, Full professor, CIAD, Belfort-Montbéliard University of Technology abdeljalil.abbas-turki(a)utbm.fr https://www.ciad-lab.fr/abdeljalil_abbas-turki/ Important Dates ================ Paper submission deadline: September 26th, 2024 (extended) Notification of acceptance: October 05th, 2024 Workshop dates: November 18 or 19, 2024 Camera-ready: TBD All deadlines are at the end of the day specified, anywhere on Earth (UTC-12).

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PDP 2025 - Special Session on High Performance Computing in Modelling and Simulation (HPCMS)
by William Spataro 22 Sep '24

22 Sep '24

(sorry for cross postings) ************************************************************************** CALL FOR PAPERS: 11th Special Session on High Performance Computing in Modelling and Simulation (HPCMS) The 33rd Euromicro International Conference on Parallel, and Network-Based Computing Turin (Italy) 12-14 March 2025 https://pdp2025.org/high-performance-computing-in-modelling-and-simulation/ Deadline: November 15, 2024 Contact: William Spataro - spataro(a)unical.it ************************************************************************* AIMS AND SCOPE Model development through which computers can simulate the evolution of artificial and natural systems is fundamental for the advancement of Science. In the last decades, the increasing power of computers has allowed to considerably extend the application of computing methodologies in research and industry, but also to the quantitative study of complex systems. This has permitted a broad application of numerical methods for differential equation systems (e.g., FEM, FDM, PIC, etc.) on one hand, and the application of alternative computational paradigms, such as Cellular Automata, Genetic Algorithms, Neural networks, Swarm Intelligence, etc., on the other. These latter have demonstrated their effectiveness for modelling purposes when traditional simulation methodologies have proven to be impracticable due to space and/or time constraints. An important mission of the HPCMS Workshop now at its eleventh year at PDP - is to provide a platform for a multidisciplinary community composed of scholars, researchers, developers, educators, practitioners and experts from world leading Universities, Institutions, Agencies and Companies in Computational Science. HPCMS intent is to thus offer an opportunity to express and confront views on trends, challenges, and state-of-the art in computational problems and high-performance computing, related to areas in engineering, physics, chemistry, biology, geology, medicine, ecology, sociology, traffic control, economy, etc. Topics of interest include, but are not limited to, the following: - High Performance Computing in computational science: intra-disciplinary and multi-disciplinary research applications - Complex systems modelling and simulation - Cellular Automata, Genetic Algorithms, Neural networks, Swarm Intelligence implementations - Integrated approach to optimization and simulation - MPI, OpenMP, Sycl and CUDA applications in Computational Science - Optimization algorithms, modelling techniques related to optimization in Computational Science - High-performance Software developed to solve science (e.g., biological, physical, and social), engineering, medicine, and humanities problems - Performance models and their integration into the design of efficient parallel algorithms for heterogeneous platforms - Hardware approaches (e.g., FPGAs, Neuromorphic computing, etc) of high performance computing in modeling and simulation IMPORTANT DATES DEADLINE Paper submission: 15 November 2024 Acceptance notification: 10 December 2024 Camera ready due: 27 January 2025 Conference: 12 - 14 March 2025 Submission guidelines Authors should submit a full paper not exceeding 8 pages in the IEEE Conference proceedings format (IEEEtran, double-column, 10pt) and follow format guidelines found at https://www.ieee.org/conferences/publishing/templates.html. For submission, please use the following link: https://cmt3.research.microsoft.com/User/Login?ReturnUrl=%2FPDP2025%2FSubmi… selecting the "High Performance Computing in Modeling and Simulation (HPCMS) submission link. Double-bind review: the first page of the paper should contain only the title and abstract; in the reference list, references to the authors own work should appear as "omitted for blind review" entries. Chairs William Spataro - University of Calabria, Italy Giuseppe A. Trunfio - University of Sassari, Italy Donato D'Ambrosio - University of Calabria, Italy Rocco Rongo - University of Calabria, Italy Andrea Giordano - ICAR-CNR, Italy HPCMS Program Committee Gladys Utrera, Universitat Politecnica de Catalunya. Barcelona, Spain Donato D'Ambrosio, University of Calabria, Italy Pawel Topa, AGH University of Science and Technology, Poland Gianluigi Folino, ICAR-CNR, Italy Lou D'Alotto, York College/CUNY, New York, USA Ioakeim Georgoudas, Democritus University of Thrace, Greece Marco Beccutti, University of Torino, Italy Marisa Gil, Universitat Politecnica de Catalunya, Spain Yaroslav Sergeyev, University of Calabria, Italy Antisthenis Tsompanas, University of the West of England, UK Rocco Rongo, University of Calabria, Italy Georgios Sirakoulis, Democritus University of Thrace, Greece William Spataro, University of Calabria, Italy Giuseppe A. Trunfio, University of Sassari, Italy Marco Villani, University of Modena and Reggio Emilia, Italy Jaroslaw Was, AGH University of Science and Technology, Poland Davide Spataro, University of Calabria, Italy Andrea Giordano, ICAR-CNR, Italy Mario Cannataro, University Magna Graecia of Catanzaro, Italy Gihan R. Mudalige, University of Warwick, UK Alessio De Rango, University of Calabria, Italy Giuseppe Agapito, University Magna Graecia of Catanzaro, Italy Xavier Martorell, Barcelona Supercomputing Center and Universitat Politecnica de Catalunya, Spain -- °-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-° William Spataro Department of Mathematics & Computer Science High Performance Computing Center University of Calabria I-87036 Arcavacata di Rende (CS) Italy Phone(s) : +39.0984.496464 Fax : +39.0984.493570 Web: www.mat.unical.it/spataro Email: spataro(a)unical.it -°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-° -- ------------------------------------------------------------------------------------------------------------------ Il banner è generato automaticamente dal servizio di posta elettronica dell'Università della Calabria <https://www.unical.it/5x1000>

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CIAC 2025: Call for Papers
by Alessio Martino 19 Sep '24

19 Sep '24

CIAC 2025: 14th International Symposium on Algorithms and Complexity LUISS University, Rome, Italy June 10-12, 2025 https://easyconferences.eu/ciac2025/ *Important Dates* -Deadline for submissions: November 15, 2024 (AoE) -Author notification: January 31, 2025 -Camera-ready due: February 14, 2025 -Submission site: https://easychair.org/conferences/?conf=ciac2025 *Topics* Authors are invited to submit papers presenting original and unpublished research on algorithms and complexity. Typical areas include: -algorithm design and analysis -sequential, parallel, and distributed algorithms -data structures -computational and structural complexity -lower bounds and limitations of algorithms -randomized and approximation algorithms -parameterized algorithms and parameterized complexity classes -smoothed analysis of algorithms -alternatives to the worst-case analysis of algorithms (e.g., algorithms with predictions) -on-line computation and competitive analysis -streaming algorithms -quantum algorithms and complexity -algorithms in algebra, geometry, number theory and combinatorics -computational geometry -algorithmic game theory and mechanism design -algorithmic economics (including auctions and contests) -computational learning theory -computational biology and bioinformatics -algorithmic issues in communication networks -algorithms for discrete optimization (including convex optimization) -algorithm engineering *Paper Submission and Proceedings* Authors are invited to submit an extended abstract or full paper with at most 15 pages, excluding the title page and the references. The title page consists of the title of the paper and the abstract. The first section of the paper should start on the next page. The usage of the LNCS style file is mandatory. No changes to font size, page geometry, etc. are permitted. Late submissions and submissions not in the correct format will not be considered. Submissions will be through EasyChair ( https://easychair.org/conferences/?conf=ciac2025) The paper should contain a succinct statement of the issues and their motivation, a summary of the results, a brief explanation of their significance, and a comparison to related work, accessible to non-specialists. Proofs omitted due to space constraints must be put into an appendix, to be read by the PC members at their discretion. Simultaneous submission to other conferences with published proceedings or to journals is not allowed. At least one author of each accepted paper will have to register for the conference. For authors who cannot present their paper in person for a significant reason, the possibility of remote presentation may be offered. *Double-Blind Reviewing* CIAC 2025 will implement a lightweight double-blind reviewing process. Submissions should not reveal the identity of the authors in any way; in particular, authors’ names, affiliations, and email addresses should not appear at the beginning or in the body of the submission. The purpose of the double-blind reviewing is to help PC members and external reviewers come to an initial judgement about the paper without bias, not to make it impossible for them to discover the authors if they were to try. Nothing should be done in the name of anonymity that weakens the submission or makes the job of reviewing the paper more difficult. Authors should feel free to disseminate their ideas or draft versions of their paper as they normally would (e.g., making early drafts available on their webpage, or through pre-print dissemination websites such as arXiv). When submitting a paper, please indicate Conflict of Interest (CoI) with PC members. *PC Submissions* Submissions authored or co-authored by (non-chair) members of the program committee are allowed. *Program Committee* -Davide Bilo, University of L’Aquila -Keerti Choudhary, IIT Delhi -Paloma Thome de Lima, IT University of Copenhagen -Adrian Dumitrescu, AlgOrEsEArch -Thomas Erlebach, Durham University -Bruno Escoffier, Sorbonne Universite -Venkata Gandikota, Syracuse University -Loukas Georgiadis, University of Ioannina (chair) -Archontia Giannopoulou, National and Kapodistrian University of Athens -Petr Golovach, University of Bergen -Kristoffer Arnsfelt Hansen, Aarhus University -Shunsuke Inenaga, Kyushu University -Evangelos Kipouridis, Max-Planck-Institut für Informatik -Jakub Łącki, Google Research -Alexandra Lassota, Eindhoven University of Technology -Wolfgang Mulzer, Freie Universität Berlin -Yuto Nakashima, Kyushu University -Charis Papadopoulos, University of Ioannina -Anastasios Sidiropoulos, University of Illinois at Chicago -Kostas Tsichlas, University of Patras -Nithin Varma, Max-Planck-Institut für Informatik -Tony Wirth, University of Sydney -Alexander Wolff, Universität Würzburg *Organisation Chair* -Irene Finocchi (Luiss Univ., Italy) *Organising Committee* -Miro Confalone (Luiss Univ., Italy) -Emilio Coppa (Luiss Univ., Italy) -Alessio Martino (Luiss Univ., Italy) -Giacomo Paesani (Sapienza Univ. of Rome, Italy) -Cosimo Poccianti (Luiss Univ., Italy) -Fariba Ranjbar (Luiss Univ., Italy) -Blerina Sinaimeri (Luiss Univ., Italy) *Steering Committee* -Tiziana Calamoneri (Sapienza Univ. of Rome, Italy) -Giuseppe Francesco Italiano (Luiss Univ., Italy) -Pinar Heggernes (Univ. of Bergen, Norway) -Marios Mavronicolas (Cyprus Univ., Greece) *Proceedings* As in previous editions, we plan to publish the proceedings as a volume in Springer LNCS. (Final approval pending.) *Contact Information* All questions about submissions should be emailed to Loukas Georgiadis at loukas(a)uoi.gr<mailto:loukas@uoi.gr> ________________________________________ Alessio Martino, PhD Assistant Professor of Computer Science LUISS Guido Carli University Department of Business and Management Viale Romania 32, 00197 Rome, Italy<https://www.google.com/maps/place/Viale+Romania,+32,+00197+Roma+RM/@41.9250…> (Room 539) Phone: (+39) 06-85225957 E-mail: amartino(a)luiss.it<mailto:amartino@luiss.it> La presente e-mail proviene da Luiss Guido Carli e s'intende inviata per scopi lavorativi. Tutte le informazioni ivi contenute, compresi eventuali allegati, sono da ritenersi esclusivamente confidenziali e riservati secondo i termini del vigente D.Lgs. 196/2003 in materia di privacy e del Regolamento europeo 679/2016 - GDPR. È vietato qualsiasi ulteriore utilizzo non autorizzato. Qualora la stessa Le fosse pervenuta per errore, La preghiamo di eliminarla immediatamente e di darcene tempestiva comunicazione. Grazie. This e-mail message is sent by Luiss Guido Carli for business purposes. All informations contained therein, including any attachments, are for the sole use of the intended recipient and may contain confidential and privileged information pursuant to Legislative Decree 196/2003 and the European General Data Protection Regulation 679/2016 - GDPR -. Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the intended recipient, please contact the sender by soon reply this e-mail and destroy all copies of the original message. Thanks

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The 1st International Workshop on Causality, Agents and Large Models (CALM)
by Yazan MUALLA 19 Sep '24

19 Sep '24

Please, accept our apologies in case of multiple copies of this CFP. ************************************************************************************************************************************* The 1st International Workshop on Causality, Agents and Large Models (CALM) https://www.ciad-lab.fr/prima-causal-ai-workshop/ in conjunction with The 25th International Conference on Principles and Practice of Multi-Agent Systems Kyoto, Japan | November 18-24, 2024 https://sites.google.com/view/prima-2024/ ************************************************************************************************************************************** Description: ============ Causality, Agents and Large Models (CALM) represents three rapidly-growing fields within artificial intelligence research. This workshop aims to bridge the gap between these disciplines by investigating how causal reasoning can enhance the capabilities of multi-agent systems (MAS). The workshop will provide a forum for researchers to discuss theoretical foundations, practical applications, and future directions at the intersection of causal AI, Large Language Models (LLM) and MAS. CALM Workshop goals: ===================== -Explore the role of causal reasoning in enhancing decision-making, coordination, and adaptation in MAS. -Discuss technical challenges and opportunities for integrating causal AI techniques and LLM into MAS frameworks. -Foster interdisciplinary collaboration between researchers in causal reasoning, LLM, and MAS. -Identify promising directions for future research and development in this emerging area. Topics: ======= -Theoretical foundations of causal reasoning in MAS -Causal reasoning capabilities in Large Language Models -Applications of causal AI techniques in agent-based modeling and simulation -Causal inference in complex and dynamic multi-agent environments -Mechanistic Interpretability of Causality in Large Language Models -Integration of causal reasoning with decision-making and planning in MAS -Learning causal models from observational and interventional data in MAS -Causal reasoning for coordination, cooperation, and communication among agents -Challenges and opportunities for incorporating causal AI into MAS frameworks -Case studies and empirical evaluations of causal AI approaches in agents -Generative AI as preprocessing for MAS -Exploring causality with deep generative models -Digital twins and simulators for interpretable synthetic data generation -Graph neural network causal learning -Causal reinforcement learning -Interpretable/Explainable root cause analysis methods -Explainable AI with active inference techniques -Logic and argumentation-based approaches to causal reasoning Submission guidelines: ====================== Submissions will be reviewed by at least three members of the program committee, who are experts in the field. The acceptance of the submitted papers will depend on their quality, relevance, and originality. All accepted papers MAY be published in the Springer post-proceedings Lecture Notes in Artificial Intelligence (LNAI). This is to be confirmed. Participants are therefore invited to submit Long papers: up to 16 pages in length (incl. references) or Short papers: up to 5 pages in length (incl. references). Papers must be edited using the LNCS format (applying the LNCS post-proceedings template) and have to be submitted electronically as PDF files via the EasyChair submission page: https://easychair.org/my/conference?conf=calm2024 Chairs: ======= -Dr. Yazan Mualla, Associate professor, CIAD, Belfort-Montbéliard University of Technology yazan.mualla(a)utbm.fr https://www.ciad-lab.fr/yazan_mualla -Dr. Liuwen Yu, Postdoc, University of Luxembourg liuwen.yu(a)uni.lu https://www.liuwenyu.me/ -Dr. Davide Liga, Postdoctoral Researcher, University of Luxembourg davide.liga(a)uni.lu -Dr. Igor Tchappi, Postdoctoral Researcher, University of Luxembourg igor.tchappi(a)uni.lu Advisory Board: =============== -Prof. Dr. Stéphane Galland, Full professor, CIAD, Belfort-Montbéliard University of Technology stephane.galland(a)utbm.fr https://www.ciad-lab.fr/stephane_galland/ -Prof. Dr. Abdeljalil Abbas-Turki, Full professor, CIAD, Belfort-Montbéliard University of Technology abdeljalil.abbas-turki(a)utbm.fr https://www.ciad-lab.fr/abdeljalil_abbas-turki/ Important Dates ================ Paper submission deadline: September 26th, 2024 (extended) Notification of acceptance: October 05th, 2024 Workshop dates: November 18 or 19, 2024 Camera-ready: TBD All deadlines are at the end of the day specified, anywhere on Earth (UTC-12).

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master thesis proposal at IRISA, France
by Barbara Fila 18 Sep '24

18 Sep '24

Hello everybody, I am proposing a master level project (master thesis or internship project) on formal modeling of ceremonies, with a possibility to continue on a follow-up PhD position. The work will take place at IRISA, in Rennes, France. Keywords: formal methods, security, ceremonies, protocols, security properties, verification. A detailed description of the topic is available here https://people.irisa.fr/Barbara.Fila/vacancies/master_thesis_ceremonies.pdf Could you please forward this message to potentially interested students and colleagues? Thank you. With best regards, Barbara Fila https://people.irisa.fr/Barbara.Fila

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CFP: Parallel Computational Technologies 2025 (Moscow, Russia, April 8-10, 2025)
by Цымблер Михаил Леонидов ич 17 Sep '24

17 Sep '24

FIRST ANNOUNCEMENT AND CALL FOR PAPERS Parallel Computational Technologies (PCT 2025), 19th International Scientific Conference, April 8-10, 2025, Moscow, Russia https://ПаВТ.РФ https://link.springer.com/conference/pct Conference founders: Ministry of science and higher education of the Russian Federation (https://minobrnauki.gov.ru) HPC Consortium of Russian Universities (http://hpc-russia.ru) WELCOME Russian Academy of Sciences, High-Performance Computing Consortium of Russian Universities, HSE University, and South Ural State University are jointly organizing the 19th International Scientific Conference on Parallel Computational Technologies (PCT 2025) to be held in Moscow, Russia, April 8-10, 2025. The main purpose of the PCT 2025 conference is to provide an opportunity to report and discuss the results achieved by leading research groups in solving practical issues using supercomputer and neural network technologies. The scope of the conference covers all aspects of the application of cloud, supercomputer and neural network technologies in science and technology such as applications, hardware and software, specific languages and packages. On working days of the conference, a supercomputer exhibition will be organized, where leading manufacturers of hardware and software present their latest products in the field of high performance computing. LANGUAGE The official languages of the Conference are Russian and English. SCOPE The scope of the conference includes, but not limited to, the following topics: * Parallel and distributed computing technologies * Cloud computing * Prospective multiprocessor architectures * Big data and data mining * Artificial neural networks and deep learning * Management, administration, monitoring and testing of multiprocessor systems * Computational Mathematics * Computational Physics * Computational Chemistry * Gas hydrodynamics and heat transfer * High nonlinear and rapid processes in mechanics * Bioinformatics and medicine * Nanotechnology * Geoinformatics * Cryptography * Image processing and visualization * Computer algebra * Supercomputer education. CALL FOR PAPERS PCT 2025 admits papers presenting original contribution that have not been previously published and are not being submitted to another conference or journal. There are three categories of submissions: * Full paper describes the results of completed scientific research (15 to 25 pages in the LNCS one-column page format). * Short paper reports preliminary results of uncompleted scientific research (up to 15 pages in the LNCS one-column page format). * Abstract of the poster contains information about plans and initial results of recently started scientific research (one standard A4 page). Papers may be prepared in LaTeX or MS Word according to the LNCS one-column page format (see guidelines at the conference website https://ПаВТ.РФ/2025/attendees/authors.html). Papers should be submitted electronically in PDF format through EasyChair system https://easychair.org/conferences/?conf=pct2025 by February 1, 2025. Each paper will be reviewed by three Program Committee members and/or invited experts to ensure high quality and relevance to the conference. At least one author of the accepted paper must attend the conference and present the paper. The type of talk is determined by the Program Committee. Correspondence or distant participation in the PCT conference is not allowed. PROCEEDINGS All accepted full papers in English will be published in Springer’s Communications in Computer and Information Science series (https://link.springer.com/conference/pct, indexed in Web of Science and Scopus), final approval pending. All accepted full papers in Russian will be published (after further revision) in Computational Mathematics and Software Engineering series of the Bulletin of the South Ural State University (https://vestnikvmi.susu.ru/, indexed in Russian Science Citation Index on the Web of Science platform). All accepted short papers and posters will be published electronically and indexed in Russian Science Index. IMPORTANT DATES * Submission of abstracts: January 1, 2025 * Submission of the papers: February 1, 2025 * Notification of acceptance: March 3, 2025 * Camera-ready version: April 21, 2025 * Registration for participation in supercomputer exhibition: March 3, 2025 * Registration of participants (non-speakers): March 31, 2025 * Conference: April 7, 2025: arrival date April 8-10, 2025: conference work dates April 11, 2025: departure date CONTACT INFORMATION WEB PAGES Conference web site: https://pavt.susu.ru/2025 Submission web site: https://easychair.org/conferences/?conf=pct2025. Leonid Sokolinsky, DSc., Prof. (SUSU, Chelyabinsk) Co-chair of the PCT Program Committee E-mail: Leonid.Sokolinsky(a)susu.ru Mikhail Zymbler, DSc., Assoc. Prof. (SUSU, Chelyabinsk) Academic secretary of the PCT Program Committee E-mail: mzym(a)susu.ru PROGRAM COMMITTEE Co-chairs of the Program Committee: Jack Dongarra, University of Tennessee (USA) Leonid Sokolinsky, South Ural State University (Russia) Vladimir Voevodin, Moscow State University (Russia) Academic secretary of the Program Committee: Mikhail Zymbler, South Ural State University (Russia) Members of the Program Committee: S.V. Ablameyko, Belarusian State University (Republic of Belarus) A.P. Afanasiev, Institute for Systems Analysis RAS (Russia) E.N. Akimova, Institute of Mathematics and Mechanics UrB RAS (Russia) A. Andrzejak, Heidelberg University (Germany) P. Balaji, Argonne National Laboratory (USA) Yu.Ya. Boldyrev, Saint-Petersburg Polytechnic University (Russia) J. Carretero, Carlos III University of Madrid (Spain) R.K. Gazizov, RN-BashNIPINeft (Russia) V.D. Goryachev, Tver State Technical University (Russia) I.M. Gubaydullin, Institute of Petrochemistry and Catalysis of RAS (Russia) V.P. Il'in, Institute of Computational Mathematics and Mathematical Geophysics SB RAS (Russia) H. Kobayashi, Tohoku University (Japan) J. Kunkel, University of Hamburg (Germany) S. Kumar, Rudrapur (India) J. Labarta, Barcelona Supercomputing Center (Spain) A. Lastovetsky, University College Dublin (Ireland) N.A. Likhoded, Belarusian State University (Republic of Belarus) T. Ludwig, German Climate Computing Center (Germany) D. Mallmann, Julich Supercomputing Centre (Germany) M. Michalewicz, A*STAR Computational Resource Centre (Singapore) V.E. Malyshkin, Institute of Computational Mathematics and Mathematical Geophysics SB RAS (Russia) V.Ya. Modorsky, Perm Polytechnic University (Russia) R. Prodan, Alpen-Adria-Universität Klagenfurt (Austria) A.V. Shamakina, High Performance Computing Center in Stuttgart (Germany) P. Shumyatsky, University of Brasilia (Brazil) H. Sithole, Centre for High Performance Computing (Republic of South Africa) A.V. Starchenko, Tomsk State University (Russia) T. Sterling, Indiana University (USA) M. Taufer, University of Delaware (USA) V.E. Turlapov, State University of Nizhny Novgorod (Russia) R. Wyrzykowski, Czestochowa University of Technology (Poland) M.V. Yakobovsky, Institute for Mathematical Modelling RAS (Russia) Y. Yamazaki, Federal University of Pelotas (Brazil)

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Post-Doctoral Researcher Job in Multiphysics-Informed Machine Learning for Cardiovascular Biomechanics | University of Manchester, UK
by Alex Frangi 15 Sep '24

15 Sep '24

🚀 Expert in Scientific ML? Join us at The University of Manchester! Are you passionate about scientific computing and physics-informed machine learning? We're looking for an ambitious Post-doctoral Research Associate to lead groundbreaking research in cardiovascular biomechanics. This is your chance to work at the forefront of computational modelling and simulation, contributing to the UKRI Horizon Europe Guarantee and ERC Advanced Grant INSILICO programme. 🔍 What We Offer: - Collaborate with world-class researchers in a vibrant, interdisciplinary environment. - Tackle real-world challenges in cardiovascular fluid dynamics and device interactions. - Develop high-fidelity models and accelerate in-silico trials. - Be part of a team that bridges cutting-edge research with impactful applications in healthcare. 🌟 Ideal Candidate: - Expertise in Finite Element Analysis (FEA) and Computational Fluid Dynamics (CFD). - Experience with incorporating multi-physics priors in deep learning architectures. - Strong skills in Python, C/C++, or MATLAB for computational science. Ready to make a difference? Apply now and be part of a transformative journey in healthcare innovation! Submit Your Application: https://www.jobs.manchester.ac.uk/Job/JobDetail?JobId=30204

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