January 2023 - hpc-announce - mailman3.cels.anl.gov

EPEW/ASMTA Call for Papers
by Marco Scarpa 31 Jan '23

31 Jan '23

[Apologies if you receive multiple copies of this message] CALL FOR PAPERS The 19th European Performance Engineering Workshop (EPEW 2023) and The 27th International Conference on Analytical & Stochastic Modelling Techniques & Applications (ASMTA 2023), June 20-23, 2023 in Florence, Italy. EPEW and ASMTA are flagship conferences for academic and industrial researchers from diverse fields with common interest in the performance modeling, analysis and design of stochastic systems. This year, the two conferences join again and solicit papers on the development of broadly applicable analytic, simulation and measurement-based methods on all aspects of performance engineering. Accepted papers will be included in the conference proceedings. The proceedings of ASMTA and EPEW are published in the Springer Verlag Lecture Notes in Computer Science (LNCS) series and indexed by Scopus and WOS. The two conferences are co-located with the International ECMS conference on Modelling and Simulation (ECMS 2023). ! Registration to one conference will permit access to all the joint event activities. ! IMPORTANT DATES Paper Submission deadline: April 14th, 2023 (EPEW), April 4th, 2023 (ASMTA) Notification of Acceptance: May 6th, 2023 (EPEW), April 24th, 2023 (ASMTA) Camera Ready: June 3rd, 2023 (EPEW/ASMTA) INSTRUCTIONS FOR PAPER SUBMISSION Submissions may already be prepared in LNCS format and must not exceed 15 pages, including figures, tables, and references; see the information for authors on Springer as web site for formatting instructions (Springer). Please clearly indicate the corresponding author. Note that authors will be required to sign a copyright release. The paper submission for ASMTA/EPEW 2023 will only be accepted through the Easychair Paper Submission System. Only papers written in English, conforming to the LNCS format and in PDF will be accepted for reviewing. For further details on EPEW 2023 and ASMTA 2023, and their extended version of CFPs, please refer to the official Web site at https://asmta2023.sciencesconf.org . The website for ECMS 2023 is available at https://scs-europe.net/conf/ecms2023 BEST PAPER AWARD The EPEW and ASMTA 2023 committees will select the best paper award of the conferences for which a certificate will be presented at the end of the conference. SPECIAL ISSUES TPCs of ASMTA and EPEW are planning a joint Special Issue or fast-track publication for extended versions of the best papers. ORGANIZING COMMITTEES EPEW General Chair: Marco Scarpa, University of Messina, Italy EPEW Technical Program co-Chairs: Francesco Longo, University of Messina, Italy Davide Cerotti, Università del Piemonte Orientale, Italy ASMTA General Chair: Mauro Iacono, Università' degli Studi della Campania Luigi Vanvitelli, Italy ASMTA Technical Program co-Chairs: Enrico Barbierato, Università Cattolica del Sacro Cuore, Brescia, Italy Salvatore Serrano, University of Messina, Italy -- --------------------------------------------------------------------- Prof. Marco Scarpa, PhD Department of Engineering University of Messina, Contrada di Dio 98166 S. Agata - Messina - ITALY - phone: +39 090 6765339 ---------------------------------------------------------------------

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29th International European Conference on Parallel and Distributed Computing (Euro-Par 2023): Third Call for Posters and Demos
by George Angelos Papadopoulos 31 Jan '23

31 Jan '23

*** Third Call for Posters and Demos *** 29th International European Conference on Parallel and Distributed Computing (Euro-Par 2023) August 28 - September 1, 2023, St. Raphael Resort, Limassol, Cyprus http://2023.euro-par.org SCOPE Euro-Par is the prime European conference covering all aspects of parallel and distributed processing, ranging from theory to practice, from small to the largest parallel and distributed systems and infrastructures, from fundamental computational problems to applications, from architecture, compiler, language and interface design and implementation, to tools, support infrastructures, and application performance aspects. We invite participants to submit original and unpublished works as posters and/or demos to the Euro-Par 2023 conference presenting the latest breakthroughs which have been developed in H2020, Horizon Europe, EuroHPC JU, national, regional and international R&D projects. Topics of interest should cover the conference scope and tracks (please visit the conference web site for more information about the topics covered by Euro-Par). The poster/demo sessions will provide an excellent opportunity for students and researchers to present early- stage research results and receive valuable feedback on their ongoing research from the community. SUBMISSION AND REVIEW PROCESS The authors are invited to submit poster and/or demo papers formatted in the Springer LNCS style: http://www.springer.com/gp/computer-science/lncs/conference-proceedings-gui… and not exceeding 4 pages (including references, etc.) Submission should be done via Easy Chair, using the following link: https://easychair.org/my/conference?conf=europar2023 Submissions to the poster and demo track will be evaluated through a comprehensive peer-review process by the Poster and Demo Track Program Committee. The posters and demos will be evaluated in terms of technical merit, innovation, and the potential to stimulate interesting discussions and exchange of ideas at the conference. The authors of accepted poster and demo papers must register and present them at the conference. Accepted poster and demo papers will be included in the workshop proceedings to be published by Springer in LNCS after the conference. BEST POSTER AND DEMO AWARD All posters and demos will be considered for the Best Poster Award and the Best Demo Award, respectively. Decisions will be based on the quality of the submission, as well as live interactions with the Committee during the conference. IMPORTANT DATES * Deadline for Submission of Posters/Demos: May 20, 2023 * Notification of Acceptance: July 1, 2023 POSTER & DEMO CHAIR * George Pallis, University of Cyprus, Cyprus (pallis-AT-ucy.ac.cy)

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ScaDL2023 - CfP - DEADLINE EXTENSION
by Federica Filippini 30 Jan '23

30 Jan '23

Dear colleague, apologize for multiple posting ScaDL 2023: Scalable Deep Learning over Parallel And Distributed Infrastructure - An IPDPS 2023 Workshop https://2023.scadl.org<https://2023.scadl.org/> Scope of the Workshop: Recently, Deep Learning (DL) has received tremendous attention in the research community because of the impressive results obtained for a large number of machine learning problems. The success of state-of-the-art deep learning systems relies on training deep neural networks over a massive amount of training data, which typically requires a large-scale distributed computing infrastructure to run. In order to run these jobs in a scalable and efficient manner, on cloud infrastructure or dedicated HPC systems, several interesting research topics have emerged which are specific to DL. The sheer size and complexity of deep learning models when trained over a large amount of data makes them harder to converge in a reasonable amount of time. It demands advancement along multiple research directions such as, model/data parallelism, model/data compression, distributed optimization algorithms for DL convergence, synchronization strategies, efficient communication and specific hardware acceleration. SCADL seeks to advance the following research directions: - Asynchronous and Communication-Efficient SGD: Stochastic gradient descent is at the core of large-scale machine learning. Parallelizing SGD gradient computation across multiple nodes increases the data processed per iteration, but exposes the SGD to communication and synchronization delays and unpredictable node failures in the system. Thus, there is a critical need to design robust and scalable distributed SGD methods to achieve fast error- convergence in spite of such system variabilities. High performance computing aspects: Deep learning is highly compute intensive. Algorithms for kernel computations on commonly used accelerators (e.g. GPUs), efficient techniques for communicating gradients and loading data from storage are critical for training performance. - Model and Gradient Compression Techniques: Techniques such as reducing weights and the size of weight tensors help in reducing the compute complexity. Using lower-bit representations such as quantization and sparsification allow for more optimal use of memory and communication bandwidth. - Distributed Trustworthy AI: New techniques are needed to meet the goal of global trustworthiness (e.g., fairness and adversarial robustness) efficiently in a distributed DL setting. - Emerging AI hardware Accelerators: with the proliferation of new hardware accelerators for AI such in memory computing (Analog AI) and neuromorphic computing, novel methods and algorithms need to be introduced to adapt to the underlying properties of the new hardware (example: the non-idealities of the phase-change memory (PCM) and the cycle-to-cycle statistical variations). - The intersection of Distributed DL and Neural Architecture Search (NAS): NAS is increasingly being used to automate the synthesis of neural networks. However, given the huge computational demands of NAS, distributed DL is critical to make NAS computationally tractable (e.g., differentiable distributed NAS). This intersection of distributed/parallel computing and deep learning is becoming critical and demands specific attention to address the above topics which some of the broader forums may not be able to provide. The aim of this workshop is to foster collaboration among researchers from distributed/ parallel computing and deep learning communities to share the relevant topics as well as results of the current approaches lying at the intersection of these areas. Areas of Interest In this workshop, we solicit research papers focused on distributed deep learning aiming to achieve efficiency and scalability for deep learning jobs over distributed and parallel systems. Papers focusing both on algorithms as well as systems are welcome. We invite authors to submit papers on topics including but not limited to: - Deep learning on cloud platforms, HPC systems, and edge devices - Model-parallel and data-parallel techniques - Asynchronous SGD for Training DNNs - Communication-Efficient Training of DNNs - Scalable and distributed graph neural networks, Sampling techniques for graph neural networks - Federated deep learning, both horizontal and vertical, and its challenges - Model/data/gradient compression - Learning in Resource constrained environments - Coding Techniques for Straggler Mitigation - Elasticity for deep learning jobs/spot market enablement - Hyper-parameter tuning for deep learning jobs - Hardware Acceleration for Deep Learning including digital and analog accelerators - Scalability of deep learning jobs on large clusters - Deep learning on heterogeneous infrastructure - Efficient and Scalable Inference - Data storage/access in shared networks for deep learning - Communication-efficient distributed fair and adversarially robust learning - Distributed learning techniques applied to speed up neural architecture search Workshop Format: Due to the continuing impact of COVID-19, ScaDL 2023 will also adopt relevant IPDPS 2023 policies on virtual participation and presentation. Consequently, the organizers are currently planning a hybrid (in-person and virtual) event. Submission Link: Submissions will be managed through linklings. Submission link available at: https://2023.scadl.org/call-for-papers Key Dates Paper Submission: February 5th, 2023 (EXTENDED) Acceptance Notification: February 26th, 2023 Camera ready papers due: March 3th, 2023 Workshop Date: May 19th, 2023 Author Instructions ScaDL 2023 accepts submissions in two categories: - Regular papers: 8-10 pages - Short papers/Work in progress: 4 pages The aforementioned lengths include all technical content, references and appendices. We encourage submissions that are original research work, work in progress, case studies, vision papers, and industrial experience papers. Papers should be formatted using IEEE conference style, including figures, tables, and references. The IEEE conference style templates for MS Word and LaTeX provided by IEEE eXpress Conference Publishing are available for download. See the latest versions at https://www.ieee.org/conferences/publishing/templates.html General Chairs Kaoutar El Maghraoui, IBM Research AI, USA Daniele Lezzi, Barcelona Supercomputing Center, Spain Program Committee Chairs Misbah Mubarak, NVIDIA, USA Alex Gittens, Rensselaer Polytechnic Institute (RPI), USA Publicity Chairs Federica Filippini, Politecnico di Milano, Italy Hadjer Benmeziane, Université Polytechnique des Hauts-de-France Web Chair Praveen Venkateswaran, IBM Research AI, USA Steering Committee Parijat Dube, IBM Research AI, USA Vinod Muthusamy, IBM Research AI, USA Ashish Verma, IBM Research AI, USA Jayaram K. R., IBM Research AI, USA Yogish Sabharwal, IBM Research AI, India Danilo Ardagna, Politecnico di Milano, Italy

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19th IEEE eScience Conference (eScience 2023): Last Call for Workshop Proposals
by George Angelos Papadopoulos 30 Jan '23

30 Jan '23

*** Last Call for Workshop Proposals *** 19th IEEE eScience Conference (eScience 2023) October 9-13, 2023, St. Raphael Resort, Limassol, Cyprus https://www.escience-conference.org/2023/ The 19th IEEE eScience Conference will be held in Limassol, Cyprus on October 9-13, 2023. eScience 2023 welcomes proposals for workshops to be co-located with the main conference on Monday, October 9 and Tuesday, October 10, 2023. The eScience conference has a long history of hosting well-attended workshops broadly related to eScience and co-located with the main conference. These workshops share the goal of bringing together international and interdisciplinary research communities, developers, and users of eScience applications and enabling IT technologies. Workshops play a crucial role in the conference by providing an opportunity for researchers and practitioners to present their work in a more focused way than the conference itself and to have in-depth discussions of particular topics of interest to the community. Workshops may be focused on any eScience-related topic including, but not limited to interdisciplinary and translational research, continuum computing infrastructures, data science, sustainability, and education. eScience 2023 invites authors of workshop proposals to consider a diverse group of organizers, paper reviewers, and keynote speakers in terms of race/ethnicity, gender, and geographic areas. eScience 2023 accepts two types of workshop proposals: (1) workshops with peer-reviewed papers and proceedings, and (2) workshops or mini-symposia with invited talks and no proceedings. Workshops with peer-reviewed papers and proceedings The proceedings of workshops with peer-reviewed papers will be included in the eScience 2023 proceedings to be published by the IEEE Computer Society Press, USA and made available online through the IEEE Digital Library, if the following criteria are followed: * The solicitation for papers must be open. * All the papers must be peer-reviewed by a qualified Program Committee. * The workshops Program Committee must have an appropriate size for the expected number of submissions. * The workshop proceedings must have at least 4 papers at a length of at least 6 pages and no longer than 10 pages (including figure, tables, and citations) in the IEEE conference format. * For each paper selected for publication, at least one of the authors must be registered to eScience 2023 to present the paper in person. Workshop organizers are responsible for establishing a Program Committee and a paper submission system, collecting and evaluating submissions, notifying authors of acceptance or rejection in due time, ensuring a transparent and fair selection process, organizing selected papers into sessions, and assigning session chairs. Proposals showing clear focus and objectives in areas of emerging or developing interest will be prioritized. Workshop proposals should be submitted via email to workshops(a)escience-conference.org and not exceed 5 pages in length. Proposals should include the following information: * Workshop name and acronym. * Workshop description, including its focus and goals (max. 500 words). * Names and affiliations of the organizers and tentative composition of the committee (we invite the authors of the proposal to consider a diverse group of organizers and committee members in terms of e.g., race, ethnicity, gender, geographic areas, etc.). * Expected number of submissions/accepted papers. * Prior history of this workshop, if any. Workshops or mini-symposia with invited talks and no proceedings Workshop organizers are responsible for inviting the speakers, establishing a program in due time, organizing the selected talks into sessions, and assigning session chairs. Proposals gathering experts in areas of emerging or developing interest will be prioritized. Each speaker must be registered to eScience 2023 to present in a session. Workshop proposals should be submitted via email to workshops(a)escience-conference.org and not exceed 5 pages in length. Proposals for workshops or mini-symposia with invited talks only should include the following information: * Workshop name and acronym * Workshop description (including its focus and goals) (max. 500 words) * Names and affiliations of the organizers * Expected number of talks and their length * Tentative list of speakers and talk titles * Prior history of this workshop, if any KEY DATES * Workshop Submissions due: Friday, February 10, 2023 (AoE) * Workshop Acceptance Notification: Friday, February 24, 2023 * All Camera-ready Submissions due: Friday, July 21, 2023 * Final list of talks / agenda for no-proceedings workshops: Friday, July 21, 2023 CONTACT INFORMATION Workshop Chairs (contact: workshops(a)escience-conference.org) * Iraklis Klampanos, National Centre for Scientific Research “Demokritos”, Greece * Fred Suter, Oak Ridge National Laboratory, USA ORGANISATION General Chair * George Angelos Papadopoulos, University of Cyprus, Cyprus Technical Program Co-Chairs * Rafael Ferreira da Silva, Oak Ridge National Laboratory, USA * Rosa Filgueira, University of St Andrews, UK Organisation Committee https://www.escience-conference.org/2023/organizers Steering Committee https://www.escience-conference.org/about/#steering-committee

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ARCS 2023 CfP: The impact of next-generation memory on computing systems
by Lars Bauer 29 Jan '23

29 Jan '23

=========================== Call for Papers 36th GI/ITG International Conference on Architecture of Computing Systems June 13-15, 2023, Athens, Greece https://arcs-conference.org =========================== THIS YEAR’S FOCUS: **The impact of next-generation memory on computing systems** The ARCS conferences series has over 35 years of tradition reporting leading edge research in computer architectures and operating systems. Emerging memory technologies such as three-dimensional integrated memory and non-volatile memory promise tremendous improvements for computing systems, including lower power consumption, higher processing performance, byte-addressability, and non-volatility. The focus of the ARCS'23 conference will be on novel hardware-based and software-based approaches to exploit the potential of emerging memory technologies in terms of performance, energy consumption, persistence, reliability, and scalability of future computing systems. This includes research on the level of computer architectures, runtime and operating systems, design tools, as well as programming models, algorithms, and data structures. In addition to the main conference, ARCS will host special tracks comprising topics such as Organic Computing, operating systems and middleware for emerging system, or fault tolerance. The proceedings of ARCS 2023 will be published in the Springer Lecture Notes on Computer Science (LNCS) series. A best paper and best presentation award will be presented at the conference. This year the conference will be a physical meeting with a social program. To ensure a safest possible meeting for all participants, we will monitor the Corona situation closely and will take all necessary protection steps following government guidelines as well as extra measures as needed. **Important Dates** =========================== * Paper submission deadline: April 7, 2023 * Notification of acceptance: May 19, 2023 * Camera-ready papers: June 2, 2023 * Conference (in Athens, Greece): June 13 – 15, 2023 **Topics of Interest** =========================== Paper submission: Authors are invited to submit original, unpublished research papers on one or more of the following topics: **Hardware Architectures** * Hardware and computing architectures for emerging memory technologies * System-on-chip * Distributed systems * Multi- and many-core architectures * Heterogeneous computing * Reconfigurable architectures * Advanced computing architectures * Quantum Computing **Programming Models and Runtime Environments** * Operating systems, programming models, algorithms, and data structures for emerging memory technology * Operating systems, hypervisors and middleware for homogeneous and heterogeneous multi-/many-core computing platforms * System management including but not limited to scheduling, memory management, power/thermal management, and RTOS * Domain-specific languages and programming models * Architecture specific code generation and optimization * Architectural simulation **Cross-sectional Topics** * Near-memory and in-memory computing * Effects of new memory technologies on Big Data and Edge Computing * Organic Computing * Pervasive systems * Autonomous systems * Approximate Computing * Mixed-criticality systems * Support for safety and security https://arcs-conference.org

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Call for Pre-proposals to host the IEEE Cluster 2026 Conference
by Taufer, Michela 29 Jan '23

29 Jan '23

Call for Pre-proposals to host the IEEE Cluster 2026 Conference. Dear Colleagues, IEEE Cluster is a highly successful conference series that has been ongoing for 25 years. With this email, we invite pre-proposals to host IEEE Cluster 2026. As per IEEE Cluster’s traditional US-Europe-US-Asia rotation, we anticipate the selection of a bid from the US for Cluster 2026. However, this rotation is not a strict requirement, so proposals from other locations will also be considered without bias. We are particularly interested in places that do not fall under the traditional US-Europe-US-Asia model: Canada, Mexico, South America, Africa, Australia, and New Zealand. Pre-proposals are simple two-slide decks. The first slide introduces the location, and the second slide presents the key organizers (i.e., the General Chair(s) and the Program Chair(s)). For the selection process, the following are a subset of the steering committee’s considerations: - Whether the location has been visited by IEEE Cluster recently. New sites are encouraged, although older areas will also be considered if the conference was not held there recently. The locations for the past editions of IEEE Cluster are available at http://clustercomp.org/ - Whether the location is reasonably favorable for travel for most of our attendees. Sites with good flight connectivity and an excellent local presence of researchers working in Cluster computing are better suited for the conference. - Whether the key organizing committee (i.e., the General Chair(s) and Program Chair(s)) has experience with organizing conferences and, in particular, with IEEE Cluster. If you have been involved with IEEE Cluster in the past (e.g., as an attendee, through publications, as a volunteer PC member or chair), the proposal would be given higher priority. Pre-proposals are due on March 30, 2023, and the first round of decisions will be made by May 1st, 2023. For consideration, all pre-proposals should be sent to the steering committee chair, Michela Taufer (taufer(a)gmail.com) The intent is to accept a single pre-proposal, which would then be invited to submit a full proposal (for example, pre-proposals and complete recommendations can be provided upon request). However, the steering committee reserves the right to invite multiple pre-proposals to submit full proposals. Full proposals must be presented in person at the steering committee meeting during IEEE Cluster 2023 (https://clustercomp.org/2023 — October 31 - Nov 3, Santa Fe, USA), after which a formal vote by the steering committee will decide if the proposal is accepted. Thank you, and we look forward to your pre-proposals. Regards, Michela Taufer, IEEE Cluster Steering Committee Chair (on behalf of the IEEE Cluster Steering Committee)

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DeepLearn 2023 Summer: early registration February 15
by David Silva - IRDTA 29 Jan '23

29 Jan '23

************************************************************************ 10th INTERNATIONAL GRAN CANARIA SCHOOL ON DEEP LEARNING DeepLearn 2023 Summer Las Palmas de Gran Canaria, Spain July 17-21, 2023 https://irdta.eu/deeplearn/2023su/ ************************************************************************ Co-organized by: University of Las Palmas de Gran Canaria Institute for Research Development, Training and Advice – IRDTA Brussels/London ************************************************************************ Early registration: February 15, 2023 ************************************************************************ FRAMEWORK: DeepLearn 2023 Summer is part of a multi-event called Deep&Big 2023 consisting also of BigDat 2023 Summer. DeepLearn 2023 Summer participants will have the opportunity to attend lectures in the program of BigDat 2023 Summer as well if they are interested. SCOPE: DeepLearn 2023 Summer will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of deep learning. Previous events were held in Bilbao, Genova, Warsaw, Las Palmas de Gran Canaria, Guimarães, Las Palmas de Gran Canaria, Luleå, Bournemouth and Bari. Deep learning is a branch of artificial intelligence covering a spectrum of current frontier research and industrial innovation that provides more efficient algorithms to deal with large-scale data in a huge variety of environments: computer vision, neurosciences, speech recognition, language processing, human-computer interaction, drug discovery, health informatics, medical image analysis, recommender systems, advertising, fraud detection, robotics, games, finance, biotechnology, physics experiments, biometrics, communications, climate sciences, geographic information systems, signal processing, genomics, etc. etc. Renowned academics and industry pioneers will lecture and share their views with the audience. Most deep learning subareas will be displayed, and main challenges identified through 24 four-hour and a half courses and 2 keynote lectures, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and employment profiles. ADDRESSED TO: Graduate students, postgraduate students and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, so people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2023 Summer is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen to and discuss with major researchers, industry leaders and innovators. VENUE: DeepLearn 2023 Summer will take place in Las Palmas de Gran Canaria, on the Atlantic Ocean, with a mild climate throughout the year, sandy beaches and a renowned carnival. The venue will be: Institución Ferial de Canarias Avenida de la Feria, 1 35012 Las Palmas de Gran Canaria https://www.infecar.es/ STRUCTURE: 2 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. Also, if interested, participants will be able to attend courses developed in BigDat 2023 Summer, which will be held in parallel and at the same venue. Full live online participation will be possible. The organizers highlight, however, the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Alex Voznyy (University of Toronto), Comparison of Graph Neural Network Architectures for Predicting the Electronic Structure of Molecules and Solids Aidong Zhang (University of Virginia), Concept-Based Models for Robust and Interpretable Deep Learning PROFESSORS AND COURSES: (to be completed) Eneko Agirre (University of the Basque Country), [introductory/intermediate] Natural Language Processing in the Large Language Model Era Pierre Baldi (University of California Irvine), [intermediate/advanced] Deep Learning in Science Daniel Cremers (Technical University of Munich), [intermediate] Deep Networks for 3D Computer Vision Stefano Giagu (Sapienza University of Rome), [introductory/intermediate] Quantum Machine Learning on Parameterized Quantum Circuits Georgios Giannakis (University of Minnesota), tba Tae-Kyun Kim (Korea Advanced Institute of Science and Technology), [intermediate/advanced] Deep 3D Pose Estimation Marcus Liwicki (Luleå University of Technology), [intermediate/advanced] Methods for Learning with Few Data Chen Change Loy (Nanyang Technological University), [introductory/intermediate] Image and Video Restoration Ivan Oseledets (Skolkovo Institute of Science and Technology), [introductory/intermediate] Tensor Methods for Approximation of High-Dimensional Arrays and Their Applications in Machine Learning Deepak Pathak (Carnegie Mellon University), [intermediate/advanced] Continually Improving Agents for Generalization in the Wild Kaushik Roy (Purdue University), tba Carlo Sansone (University of Naples Federico II), tba Björn Schuller (Imperial College London), [introductory/intermediate] Deep Multimedia Processing Amos Storkey (University of Edinburgh), [intermediate] Meta-Learning and Contrastive Learning for Robust Representations Ponnuthurai N. Suganthan (Qatar University), [introductory/intermediate] Randomization-Based Deep and Shallow Learning Algorithms and Architectures Jiliang Tang (Michigan State University), [introductory/advanced] Graph Neural Networks: Models, Applications and Advances Savannah Thais (Columbia University), [intermediate] Applications of Graph Neural Networks: Physical and Societal Systems Z. Jane Wang (University of British Columbia), [introductory/intermediate] Adversarial Deep Learning in Digital Image Security & Forensics Andrew Gordon Wilson (New York University), tba Li Xiong (Emory University), [introductory] Deep Learning and Privacy Enhancing Technology Lihi Zelnik-Manor (Technion - Israel Institute of Technology), [introductory] Introduction to Computer Vision and the Ethical Questions It Raises OPEN SESSION: An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing the title, authors, and summary of the research to david(a)irdta.eu by July 9, 2023. INDUSTRIAL SESSION: A session will be devoted to 10-minute demonstrations of practical applications of deep learning in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People in charge of the demonstration must register for the event. Expressions of interest have to be submitted to david(a)irdta.eu by July 9, 2023. EMPLOYER SESSION: Organizations searching for personnel well skilled in deep learning will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the organization and the profiles looked for to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to david(a)irdta.eu by July 9, 2023. ORGANIZING COMMITTEE: Carlos Martín-Vide (Tarragona, program chair) Sara Morales (Brussels) David Silva (London, organization chair) REGISTRATION: It has to be done at https://irdta.eu/deeplearn/2023su/registration/ The selection of 8 courses requested in the registration template is only tentative and non-binding. For logistical reasons, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish as well as eventually courses in BigDat 2023 Summer. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event. FEES: Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline. The fees for on site and for online participation are the same. ACCOMMODATION: Accommodation suggestions will be available in due time at https://irdta.eu/deeplearn/2023su/accommodation/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. Participants will be recognized 2 ECTS credits by University of Las Palmas de Gran Canaria. QUESTIONS AND FURTHER INFORMATION: david(a)irdta.eu ACKNOWLEDGMENTS: Cabildo de Gran Canaria Universidad de Las Palmas de Gran Canaria - Fundación Parque Científico Tecnológico Universitat Rovira i Virgili Institute for Research Development, Training and Advice – IRDTA, Brussels/London

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10th European Conference On Service-Oriented And Cloud Computing (ESOCC 2023): Second Call for Submissions
by George Angelos Papadopoulos 29 Jan '23

29 Jan '23

*** Second Call for Submissions *** 10th European Conference On Service-Oriented And Cloud Computing (ESOCC 2023) October 24-26, 2023, Golden Bay Beach Hotel, Larnaca, Cyprus https://cyprusconferences.org/esocc2023/ (Proceedings to be published in Springer LNCS; Journal Special Issue with Springer Computing) AIM AND SCOPE Nowadays, Service-Oriented and Cloud Computing are the primary approaches to build large-scale distributed systems and deliver software services to end users. Cloud-native software is pervading the delivery of enterprise applications, as they are composed of (micro)services that can be independently developed and deployed by exploiting multiple heterogeneous technologies. Resulting applications are polyglot service compositions that can then be shipped in serverful or serverless platforms (e.g., using virtualization technologies). These characteristics make Service-Oriented and Cloud Computing the natural answers for fulfilling the industry’s need for flexibly scalable and maintainable enterprise applications, to be delivered through state-of-the-art methodologies, like DevOps. To further support this, researchers and practitioners need to create methods, tools and techniques to support cost-effective and secure development as well as use of dependable devices, platforms, services and service-oriented applications in the Cloud, now also considering the Cloud-IoT computing continuum to exploit widespread adoption of smart connected things and the increasing growth of their computing capabilities. The European Conference on Service-Oriented and Cloud Computing (ESOCC) is the premier conference on advances in the state-of-the-art and practice of Service-Oriented Computing and Cloud Computing in Europe. ESOCC aims to facilitate the exchange between researchers and practitioners in the areas of Service-Oriented Computing and Cloud Computing, as well as to explore the new trends in those areas and foster future collaborations in Europe and beyond. TOPICS OF INTEREST ESOCC 2023 seeks original, high-quality contributions related to all aspects of Service-Oriented and Cloud computing. Specific topics of interest include, but are not limited to: * Applications for Service-Oriented and Cloud Computing, e.g., big data, commerce, energy, finance, health, scientific computing, smart cities * Blockchains for Service-Oriented and Cloud Computing * Business aspects of Service-Oriented and Cloud Computing, e.g., business models, brokerage, marketplaces, costs, pricing * Business processes, e.g., service-based workflow deployment and management * Cloud interoperability, service and Cloud standards, * Cloud-IoT computing continuum, e.g., edge computing, fog computing, mobility computing, next generation services/IoT * Cloud-native architectures and paradigms, e.g., microservices and DevOps * Cloud service models, e.g., IaaS, PaaS, SaaS, DBaaS, FaaS, etc. * Deployment, composition, and management of applications in Service-Oriented and Cloud Computing * Foundations and formal methods for Service-Oriented and Cloud Computing * Enablers for Service-Oriented and Cloud Computing, e.g., service discovery, orchestration, matchmaking, monitoring, and analytics * Model-Driven Engineering for Service-Oriented and Cloud Computing * Multi-Cloud, cross-Cloud, and federated Cloud solutions * Requirements engineering, design, development, and testing of applications in Service-Oriented and Cloud Computing * Semantic services and service mining * Service and Cloud middlewares and platforms * Software/service adaptation and evolution in Service-Oriented and Cloud Computing * Storage, computation and network Clouds * Sustainability and energy issues in Service-Oriented and Cloud Computing * Quality aspects (e.g., governance, privacy, security, and trust) of Service-Oriented and Cloud Computing * Quality of Service (QoS) and Service-Level Agreement (SLA) for Service-Oriented and Cloud Computing * Social aspects of Service-Oriented and Cloud Computing, e.g., crowdsourcing services, social and crowd-based Clouds * Virtualization for Service-Oriented and Cloud Computing, e.g., serverless, container-based virtualization, VMs IMPORTANT DATES * Submission of abstracts: June 4th, 2023 (AoE) * Submission of full papers: June 11th, 2023 (AoE) * Notification to authors: July 14th, 2023 (AoE) * Camera-ready versions due: July 31st, 2023 (AoE) TYPES OF SUBMISSIONS ESOCC 2023 invites submissions of the following kinds: * Regular Research Papers (15 pages including references, for the technical and special tracks) * PhD Symposium (12 pages including references) * Projects and Industry Reports (Projects and Industry Reports (1 to 6 pages including references, describing an ongoing EU or national project, or providing industrial perspectives on innovative applications, technologies, or methods in ESOCC’s scope) We only accept original papers, not submitted for publication elsewhere. The papers must be formatted according to the proceedings guidelines of Springer’s Lecture Notes in Computer Science (LNCS) series (http://www.springer.com/lncs) They must be submitted to the EasyChair site at: https://easychair.org/conferences/?conf=esocc2023 by selecting the right track. Accepted papers from all tracks will be published in the main conference proceedings by Springer in the LNCS series. For publication to happen, at least one author of each accepted paper is expected to register and present the work at the conference. The best papers accepted will be invited to submit extended versions for a Journal Special Issue to be published by Springer Computing. ORGANISATION General Chair * George A. Papadopoulos, University of Cyprus, CY (george at ucy.ac.cy) Program Chairs * Florian Rademacher, University of Applied Sciences and Arts Dortmund, DE (florian.rademacher at fh-dortmund.de) * Jacopo Soldani, University of Pisa, IT (jacopo.soldani at unipi.it) Steering and Program Committee https://cyprusconferences.org/esocc2023/committees/

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CALL FOR PAPERS: ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, Tools and Theory of Embedded Systems (LCTES 2023)
by Younghyun Cho 28 Jan '23

28 Jan '23

** *ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, Tools and Theory of Embedded Systems (LCTES 2023)* * Call for Papers Co-located with PLDI and FCRC 2023 Orlando, Florida June 18, 2023 https://pldi23.sigplan.org/home/LCTES-2023 <https://pldi23.sigplan.org/home/LCTES-2023> Programming languages, compilers, and tools are important interfaces between embedded systems and emerging applications in the real world. Embedded systems are aggressively adapted for deep neural network applications, autonomous vehicles, robots, healthcare applications, etc. However, these emerging applications impose challenges that conflict with conventional design requirements and increase the complexity of embedded system designs. Furthermore, they exploit new hardware paradigms to scale up multicores (including GPUs and FPGAs) and distributed systems built from many cores. Therefore, programming languages, compilers, and tools are becoming more important to address these issues, such as productivity, validation, verification, maintainability, safety, and reliability for meeting both performance goals and resource constraints. The 24th ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, Tools and Theory of Embedded Systems (LCTES 2023) solicits papers presenting original work on programming languages, compilers, tools, theory, and architectures that help in overcoming these challenges. Research papers on innovative techniques are welcome, as well as experience papers on insights obtained by experimenting with real-world systems and applications. Papers can be submitted to https://lctes23.hotcrp.com/ <https://lctes23.hotcrp.com/>. Important Dates * Paper submission deadline: March 16, 2023 (firm deadline) * Paper notification: April 21, 2023 * Artifact submission deadline: May 1, 2023 * Artifact decision: May 12, 2023 * Camera-ready deadline: May 15, 2023 * Conference: June 18, 2023 Paper Categories * Full paper: 10 pages presenting original work. * Work-in-progress paper: 4 pages papers presenting original ideas that are likely to trigger interesting discussions. Accepted papers in both categories will appear in the proceedings published by ACM. In addition, this year’s LCTES introduces two journal modes. * All accepted full papers will be invited to be published in a special issue of the ACM Transactions on Embedded Computing Systems (TECS). A TECS publication will require substantial additional material over the conference publication and will undergo a separate review process. * Rejected full papers may have the option to submit their work to the IEEE Embedded Systems Letters (ESL; 4 pages). IEEE ESL submissions will undergo a separate review process. Original contributions are solicited on the topics of interest including, but not limited to: Programming language challenges * Domain-specific languages * Features to exploit multicore, reconfigurable, and other emerging architectures * Features for distributed, adaptive, and real-time control embedded systems * Capabilities for specification, composition, and construction of embedded systems * Language features and techniques to enhance reliability, verifiability, and security * Virtual machines, concurrency, inter-processor synchronization, and memory management Compiler challenges * Interaction between embedded architectures, operating systems, and compilers * Interpreters, binary translation, just-in-time compilation, and split compilation * Support for enhanced programmer productivity * Support for enhanced debugging, profiling, and exception/interrupt handling * Optimization for low power/energy, code/data size, and real-time performance * Parameterized and structural compiler design space exploration and auto-tuning Tools for analysis, specification, design, and implementation * Hardware, system software, application software, and their interfaces * Distributed real-time control, media players, and reconfigurable architectures * System integration and testing * Performance estimation, monitoring, and tuning * Run-time system support for embedded systems * Design space exploration tools * Support for system security and system-level reliability * Approaches for cross-layer system optimization Theory and foundations of embedded systems * Predictability of resource behavior: energy, space, time * Validation and verification, in particular of concurrent and distributed systems * Formal foundations of model-based design as the basis for code generation, analysis, and verification * Mathematical foundations for embedded systems * Models of computations for embedded applications Novel embedded architectures * Design and implementation of novel architectures * Workload analysis and performance evaluation * Architecture support for new language features, virtualization, compiler techniques, debugging tools * Architectural features to improve power/energy, code/data size, and predictability Mobile systems and IoT * Operating systems for mobile and IoT devices * Compiler and software tools for mobile and IoT systems * Energy management for mobile and IoT devices * Memory and IO techniques for mobile and IoT devices For additional information and the ACM Publications Policies refer to the LCTES’23 website at https://pldi23.sigplan.org/home/LCTES-2023 <https://pldi23.sigplan.org/home/LCTES-2023>. *

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CISTI'2023 - Doctoral Symposium |Aveiro, Portugal
by CISTI-2023 28 Jan '23

28 Jan '23

* Published in IEEE Xplore * Google Scholar H5-Index = 22 ------------------------------ ---- Doctoral Symposium of CISTI'2023 ------------------------------ ------------ CISTI'2023 - 18th Iberian Conference on Information Systems and Technologies 20 - 23 of June 2023, University of Aveiro, Aveiro, Portugal http://cisti.eu/ <https://mkt.saisti.eu/go/a734bbd1e6d8440a14a7986b82b0-bf53ffa2--36ec7f84912…> ------------------------------ ------------------------------ ------------------------------ ------------------------------ ---- The purpose of CISTI'2022’s Doctoral Symposium is to provide graduate students a setting where they can, informally, expose and discuss their work, collecting valuable expert opinions and sharing new ideas, methods and applications. The Doctoral Symposium is an excellent opportunity for PhD students to present and discuss their work in a Workshop format. Each presentation will be evaluated by a panel composed by at least three Information Systems and Technologies experts. Contributions Submission The Doctoral Symposium is opened to PhD students whose research area includes the themes proposed for this Conference. Submissions must include an extended abstract (maximum 4 pages), following the Conference style guide <https://mkt.saisti.eu/go/a734bbd1e6d8440a14a7986b82b0-bf53ffa2--36ec7f84912…>. All selected contributions will be published with the Conference Proceedings in electronic format with ISBN. These contributions will be available in the IEEE Xplore <https://mkt.saisti.eu/go/a734bbd1e6d8440a14a7986b82b0-bf53ffa2--36ec7f84912…> Digital Library and will be sent for indexing in ISI, Scopus, EI-Compendex, INSPEC and Google Scholar. Submissions must include the field, the PhD institution and the number of months devoted to the development of the work. Additionally, they should include in a clear and succinct manner: • The problem approached and its significance or relevance • The research objectives and related investigation topics • A brief display of what is already known • A proposed solution methodology for the problem • Expected results Important Dates Paper submission: February 19, 2023 Notification of acceptance: March 26, 2023 Submission of accepted papers: April 9, 2023 Payment of registration, to ensure the inclusion of an accepted paper in the conference proceedings: April 9, 2023 Organizing Committee Álvaro Rocha, ISEG, Universidade de Lisboa Francisco García-Peñalvo, Universidad de Salamanca Scientific Committee Francisco García-Peñalvo, Universidad de Salamanca (Presidente) Augusto Sousa, FEUP, Universidade do Porto Adolfo Lozano Tello, Universidad de Extremadura Álvaro Rocha, ISEG, Universidade de Lisboa Ana Amélia Carvalho, Universidade de Coimbra António Coelho, FEUP, Universidade do Porto Antonio Garcia Loureiro, Universidade de Santiago de Compostela António Palma do Reis, ISEG, Universidade de Lisboa Arnaldo Martins, Universidade de Aveiro Borja Bordel, Universidad Politécnica de Madrid Carlos Costa, ISEG, Universidade de Lisboa Carlos Ferrás Sexto, Universidad de Santiago de Compostela Carlos Montenegro, Universidad Distrital Francisco José de Caldas Cesar Collazos, Universidad del Cauca David Fonseca, La Salle, Universitat Ramon Llull Fernando Moreira, Universidade Portucalense Gonçalo Paiva Dias, Universidade de Aveiro Jeimy Cano, Universidad de los Andes Jezreel Mejia, CIMAT João Manuel R.S. Tavares, FEUP, Universidade do Porto João Pascoal Faria, FEUP, Universidade do Porto~ João Paulo Costa, Universidade de Coimbra José Machado, Universidade do Minho Luis Camarinha-Matos, Universidade NOVA de Lisboa Manuel Tupia, Pontifica Universidad Católica del Perú Marcelo Marciszack, Universidad Tecnológica Nacional Marco Painho, Nova Information Management School, Universidade Nova de Lisboa María J Lado, Universidade de Vigo Maria José Sousa, ISCTE - Instituto Universitário de Lisboa Mário Piattini, Universidad de Castilla-La Mancha Maristela Holanda, Universidade de Brasília Mercedes Ruiz, Universidad de Cádiz Miguel Casquilho, Universidade de Lisboa Miguel de Castro Neto, NOVA IMS Miguel Ramón Gonzalez Castro, Centro Tecnológico Aimen Mirna Muñoz, Centro de Investigación en Matemáticas A.C.- Unidad Zacatecas Nelson Rocha, Universidade de Aveiro Óscar Mealha, Universidade de Aveiro Paulo Pinto, FC, Universidade Nova de Lisboa Ramiro Gonçalves, Universidade de Trás-os-Montes e Alto Douro Rui Cruz, IST, Universidade de Lisboa Victor Hugo Medina Garcia, Universidad Distrital Francisco José de Caldas Vítor Santos, NOVA IMS Website of CISTI'2023: http://cisti.eu/ <https://mkt.saisti.eu/go/a734bbd1e6d8440a14a7986b82b0-bf53ffa2--36ec7f84912…> -- This email has been checked for viruses by AVG antivirus software. www.avg.com

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