computational.science

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FGCS Special Issue on Scalable Compute Continuum
by Matteo Nardelli 17 Apr '23

17 Apr '23

(Our apologies if you received multiple copies of this CFP) ============================================== Future Generation Computer Systems Special Issue on Scalable Compute Continuum The full call for papers is available on the official FGCS website: https://www.sciencedirect.com/journal/future-generation-computer-systems/ab… ============================================== Motivation and Scope ======================= The “Compute Continuum” paradigm promises to manage the heterogeneity and dynamism of widespread computing resources, aiming to simplify the execution of distributed applications improving data locality, performance, availability, adaptability, energy management as well as other non-functional features. This is made possible by overcoming the fragmentation of IoT-edge-cloud resources and their segregation in tiers, enabling applications to be seamlessly executed and relocated along a continuum of resources spanning from the edge to the cloud. By distributing resources all around, the emerging Compute Continuum paradigm supports the execution of data-intensive applications as close as possible to data sources and end users. Besides consolidated vertical and horizontal scaling patterns, this paradigm also offers more detailed adaptation actions that strictly depend on the specific infrastructure components (e.g., to reduce energy consumption, or to exploit specific hardware such as GPUs and FPGAs). This enables the enhancement of latency-sensitive applications, the reduction of network bandwidth consumption, the improvement of privacy protection, and the development of novel services aimed at improving living, health, safety, and mobility. All of this should be achievable by application developers without having to worry about how and where the developed application components will be executed. Therefore, to unleash the true potential offered by the Compute Continuum, autonomous, proactive, and infrastructure-aware management is desirable, if not mandatory, calling for novel interdisciplinary approaches that exploit optimization theory, control theory, machine learning, and artificial intelligence methods. This special issue aims to investigate and gather research contributions on the emerging Compute Continuum, seeking solutions for running distributed applications while efficiently managing heterogeneous and widespread computing resources. Topics of interest include, but are not limited to, the following: - Scalable architectures and systems for the Compute Continuum; - System software for cloud-edge-IoT orchestration; - Distributed and decentralized management of resources and application deployment in the - Compute Continuum; - Programming models, languages and patterns for the Compute Continuum; - Compute Continuum performance modeling and analysis; - Compute Continuum as a service; - Energy-efficient solutions for sustainable Compute Continuum; - AI in the Compute Continuum; - Scalable applications for Compute Continuum (IoT, microservices, serverless); - Data-intensive and stream processing systems and applications in the Compute Continuum; - Digital Twins and industry applications in the Compute Continuum; - Prototypes and real-life experiments involving the Compute Continuum; - Benchmarks and experimental platforms for reproducible experiments in the Compute Continuum. Guest Editors ======================= Valeria Cardellini, University of Rome Tor Vergata, Italy. Patrizio Dazzi, University of Pisa, Italy. Gabriele Mencagli, University of Pisa, Italy. Matteo Nardelli, Bank of Italy, Italy. Massimo Torquati, University of Pisa, Italy. Important Dates ======================= Submission portal opens: May 1, 2023 Deadline for paper submission: November 3, 2023 Latest acceptance deadline for all papers: March 8, 2024 Manuscript Submission Instructions ======================= The FGCS’s submission system ( https://www.editorialmanager.com/FGCS/default.aspx) will be open for submissions to our Special Issue from May 1, 2023. When submitting your manuscript please select the article type VSI: SI_SCC_ScalCompContinuum. All submissions deemed suitable by the editors to be sent for peer review will be reviewed by at least two independent reviewers. Once your manuscript is accepted, it will go into production to be published in the special issue. Looking forward to receiving your excellent submissions soon. Best regards, Valeria Cardellini, Patrizio Dazzi, Gabriele Mencagli, Matteo Nardelli, and Massimo Torquati

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Last Call: Springer(LNCS): The Ninth International Conference on Mining Intelligence and Knowledge Exploration (MIKE 2023)
by Seifedine Kadry 14 Apr '23

14 Apr '23

Dear Colleagues, The MIKE 2023 Program Committee invites submissions of original theoretical research, applied research, and deployed application papers on all aspects of Learning Algorithms, Data / Text Mining, and Knowledge discovery techniques for the main technical program. http://www.mike.org.in/2023/#l-start Please make a note of these dates in your calendar Workshop Proposal April 30, 2023 Full Paper Submission (extend it) April 30, 2023, 11:59 PM PST Author Notification May 15, 2023 Camera Ready Copy and Registration Deadline May 25, 2023 Conference June 28-30, 2023 -- Regards, Seifedine Kadry, PhD Professor FIET, SMIEEE, ACM

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International Workshop on Virtual Reality and Augmented Reality and Applications (VRA 2023)
by Osvaldo Gervasi 14 Apr '23

14 Apr '23

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Associate Professor in Cyber Security
by Andrii Shalaginov 12 Apr '23

12 Apr '23

Dear All, Kristiania University College (Norway) is hiring an Associate Professor in Cyber Security. A permanent full-time position is available for an outstanding candidate in the field of Information Technology focusing on Cyber Security at the School of Economics, Innovation, and Technology. The department offers education in Cyber Security on both bachelor and master levels with a variety of specialization and application areas. We put a strong emphasis on industrial connections and research-driven innovation when it comes to teaching and student projects. The research portfolio includes several national and international research and development projects with the specific alignment towards the United Nations sustainable development goals and inclusion of the research results in teaching activities. The research environment covers several groups and labs working in relevant Cyber Security areas with established research agenda and international visibility. Application deadline: 19th of April, 2023 More information and application page: https://web103.reachmee.com/ext/I021/1682/job?site=6&lang=NO&validator=4368… -- Best regards / Med vennlig hilsen, Andrii Shalaginov (PhD in InfoSec | CCSKv4 | KLCP | LPIC-1) Associate Professor Program Director of Bachelor in Cyber Security Program Director of Master in Cyber Security Head of Smart Security Lab (SmartSecLab) School of Economics, Innovation and Technology M +47 46 572 592 | andrii.shalaginov(a)kristiania.no<mailto:andrii.shalaginov@kristiania.no> Kristiania University College Visiting address: Kirkegata 24 PB 1190 Sentrum, 0107 Oslo Kristiania University College is a foundation with over 108 years of experience – Think ahead! [https://brandpad.io/cloudinary/brandpad/image/upload/17558/kristiania_mail_…]

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WSCC 2023: Workshop on Scalable Compute Continuum (co-located with EuroPar 2023)
by Matteo Nardelli 11 Apr '23

11 Apr '23

(Our apologies if you received multiple copies of this CFP) ************************************************************************** WSCC 2023: Euro-Par 2023 International Workshop International Workshop on Scalable Compute Continuum Date: 28 August - September 2023 Location: Limassol, Cyprus Workshop web page: https://wscc2023.di.unipi.it/ Euro-Par web page: https://2023.euro-par.org/ ************************************************************************** * Call for Papers The “Compute Continuum” paradigm promises to manage the heterogeneity and dynamism of widespread computing resources, aiming to simplify the execution of distributed applications improving data locality, performance, availability, adaptability, energy management as well as other non-functional features. This is made possible by overcoming resource fragmentation and segregation in tiers, enabling applications to be seamlessly executed and relocated along a continuum of resources spanning from the edge to the cloud. Besides consolidated vertical and horizontal scaling patterns, this paradigm also offers more detailed adaptation actions that strictly depend on the specific infrastructure components (e.g., to reduce energy consumption, or to exploit specific hardware such as GPUs and FPGAs). This enables the enhancement of latency-sensitive applications, the reduction of network bandwidth consumption, the improvement of privacy protection, and the development of novel services aimed at improving living, health, safety, and mobility. All of this should be achievable by application developers without having to worry about how and where the developed components will be executed. Therefore, to unleash the true potential offered by the Compute Continuum, proactive, autonomous, and infrastructure-aware management is desirable, if not mandatory, calling for novel interdisciplinary approaches that exploit optimization theory, control theory, machine learning, and artificial intelligence methods. In this landscape, the workshop is willing to attract contributions in the area of distributed systems with particular emphasis on support for geographically distributed platforms and autonomic features to deal with variable workloads and environmental events, and take the best of heterogeneous and distributed infrastructures. A partial list of interesting topics of this workshop is the following: - Scalable architectures and systems for Compute Continuum - System software for cloud-edge-IoT orchestration - Distributed and decentralized management of resources and application deployment in the Compute Continuum - Programming models, languages and patterns for the Compute Continuum - Compute Continuum performance modeling and analysis - Compute Continuum as a service - Energy-efficient solutions for sustainable Compute Continuum - AI in the Compute Continuum - Scalable applications for Compute Continuum (IoT, microservices, serverless) - Data-intensive and stream processing systems and applications in the Compute Continuum - Digital Twins and industry applications in the Compute Continuum - Prototypes and real-life experiments involving Compute Continuum - Benchmarks and experimental platforms for reproducible experiments in the Compute Continuum * Submission Instructions The papers should be formatted according to the LNCS guidelines. They should be between a minimum of 10 and a maximum of 12 pages. * Special Issue Selected papers will be invited to submit an extended version to the Special Issue of the Elsevier Future Generation Computer Systems on “Scalable Compute Continuum”. For important dates and additional info, see the related Call for Papers: https://www.sciencedirect.com/journal/future-generation-computer-systems/ab… * Important Dates May 5th, 2023 Paper submission deadline June 19th, 2023 Paper acceptance notifications July 2nd, 2023 Camera-ready due * Workshop Co-Chairs - Valeria Cardellini, University of Rome Tor Vergata, Italy - Patrizio Dazzi, University of Pisa, Italy - Gabriele Mencagli, University of Pisa, Italy - Matteo Nardelli, Bank of Italy, Italy - Massimo Torquati, University of Pisa, Italy Looking forward to receiving your excellent submissions soon. Best regards, Valeria Cardellini, Patrizio Dazzi, Gabriele Mencagli, Matteo Nardelli, and Massimo Torquati

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Special issue on Advanced Computational Methods for Fluid Dynamics and Applications
by Zhenquan Li 05 Apr '23

05 Apr '23

Call for papers Special issue of Mathematics (ISSN 2227-7390): Advanced Computational Methods for Fluid Dynamics and Applications Any theoretical research and practical applications in computational methods for fluid flows are welcome. The topics may include mesh generation, numerical methods for the mathematical models in fluid dynamics, experimental studies showing the validity of computational methods for fluid flows, and numerical simulations of fluid flows. Deadline for manuscript submission: 31 January 2024. Mathematics is an open access journal by MDPI. The detailed information about hte special issue is available at the following link https://www.mdpi.com/journal/mathematics/special_issues/KT06TDHFGF Please feel free to contact me if you would like to know more information. Dr Zhenquan Li School of Computing, Mathematics and Engineering Charles Sturt University Thurgoona, NSW 2640 Australia Email: jali(a)csu.edu.au

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(CALL FOR PAPERS) PAW-ATM: Parallel Applications Workshop, Alternatives To MPI+X
by Morris, Karla NMN 03 Apr '23

03 Apr '23

**************************************************************** Call for Papers [cid:image001.png@01D96560.745F9FF0] PAW-ATM 2023: Parallel Applications Workshop, Alternatives To MPI+X Held in conjunction with SC23, Denver, CO https://sourceryinstitute.github.io/PAW/ Submissions deadline: July 24, 2023 Notification to authors: August 31, 2023 Workshop date: November 12-17, 2023 **************************************************************** SUMMARY As supercomputers become more and more powerful, the number and diversity of applications that can be tackled with these machines grows. Unfortunately, the architectural complexity of these supercomputers grows as well, with heterogeneous processors, multiple levels of memory hierarchy, and many ways to move data and synchronize between processors. The MPI+X programming model, use of which is considered by many to be standard practice, demands that a programmer be expert in both the application domain and the low-level details of the architecture(s) on which that application will be deployed, and the availability of such superhuman programmers is a critical bottleneck. Things become more complicated when evolution and change in the underlying architecture translates into significant re-engineering of the MPI+X code to maintain performance. Numerous alternatives to the MPI+X model exist, and by raising the level of abstraction on the application domain and/or the target architecture, they offer the ability for "mere mortal" programmers to take advantage of the supercomputing resources that are available to advance science and tackle urgent real-world problems. However, compared to the MPI+X approach, these alternatives generally lack two things. First, they aren't as well known as MPI+X and a domain scientist may simply not be aware of models that are a good fit to their domain. Second, they are less mature than MPI+X and likely have more functionality or performance "potholes" that need only be identified to be addressed. PAW-ATM is a forum for discussing HPC applications written in alternatives to MPI+X. Its goal is to bring together application experts and proponents of high-level languages to present concrete example uses of such alternatives, describing their benefits and challenges. SCOPE AND AIMS The PAW-ATM workshop is designed to be a forum for discussion of supercomputing-scale parallel applications and their implementation in programming models outside of the dominant MPI+X paradigm. Papers and talks will explore the benefits (or perhaps drawbacks) of implementing specific applications with alternatives to MPI+X, whether those benefits are in performance, scalability, productivity, or some other metric important to that application domain. Presenters are encouraged to generalize the experience with their application to other domains in science and engineering and to bring up specific areas of improvement for the model(s) used in the implementation. In doing so, our hope is to create a setting in which application authors, language designers, and architects can present and discuss the state of the art in alternative scalable programming models, while also wrestling with how to increase their effectiveness and adoption. Beyond well-established HPC scientific simulations, we also encourage submissions exploring artificial intelligence, big data analytics, machine learning, and other emerging application areas. Topics of interest include, but are not limited to: * Novel application development using high-level parallel programming languages and frameworks. * Examples that demonstrate performance, compiler optimization, error checking, and reduced software complexity. * Applications from artificial intelligence, data analytics, bioinformatics, and other novel areas. * Performance evaluation of applications developed using alternatives to MPI+X and comparisons to standard programming models. * Novel algorithms enabled by high-level parallel abstractions. * Experience with the use of new compilers and runtime environments. * Libraries using or supporting alternatives to MPI+X. * Benefits of hardware abstraction and data locality on algorithm implementation. Papers that include description of applications that demonstrate the use of alternative programming models will be given higher priority. SUBMISSIONS Submissions are solicited in 2 categories: 1) Full-length papers presenting novel research results: Full-length papers will be published in the workshop proceedings. Submitted papers must describe original work that has not appeared in, nor is under consideration for, another conference or journal. Papers shall be eight (8) pages minimum and not exceed ten (10) pages including text, appendices, and figures, but excluding bibliography and acknowledgments. 2) Extended abstracts summarizing preliminary/published results: Extended abstracts will be evaluated separately and will not be included in the published proceedings; they are intended to propose timely communications of novel work that will be formally submitted elsewhere at a later stage, and/or of already published work that would be of interest to the PAW-ATM audience in terms of topic and timeliness. Extended abstracts shall not exceed four (4) pages. When deciding between manuscript submissions with similar merit, submissions whose focus relates more directly to the key themes of the workshop (application studies, computing at scale, high-level alternatives to MPI+X) will be given priority over those that don't. Submissions shall be submitted through Linklings: https://submissions.supercomputing.org Submissions must use 10pt font in the IEEE format: https://www.ieee.org/conferences/publishing/templates.html PAW-ATM follows the reproducibility initiative of SC23. Submissions shall include an Artifact Description (AD) appendix. The appendix pages related to the reproducibility initiative dependencies are not included in the page count. For more information, please refer to: https://sc23.supercomputing.org/submit/reproducibility-initiative/ https://sourceryinstitute.github.io/PAW/ WORKSHOP CHAIR * Karla Morris - Sandia National Laboratories ORGANIZING COMMITTEE * Engin Kayraklioglu - Hewlett Packard Enterprise * Irene Moulitsas - Cranfield University * Elliott Slaughter - SLAC National Accelerator Laboratory PROGRAM COMMITTEE CO-CHAIRS * Bill Long - Hewlett Packard Enterprise * Daniele Lezzi - Barcelona Supercomputing Center PROGRAM COMMITTEE * Dan Bonachea - Lawrence Berkeley National Laboratory * Jan Cieskio - Sandia National Laboratories * Iacopo Colonnelli - University of Turin * Mario Di Renzo - University of Salento and Stanford University * Salvatore Filippone - Universita di Roma Tor Vergata * Magne Haveraaen - University of Bergen * Peter Hawkins - Google * Engin Kayraklioglu - Hewlett Packard Enterprise * Jannis Klikenberg - RWTH Aachen University * Daniele Lezzi - Barcelona Supercomputing Center * Bill Long - Hewlett Packard Enterprise * Francesc Lordan - Barcelona Supercomputing Center * Lee Margetts - University of Manchester * Fabrizio Marozzo - University of Calabria * Josh Milthorpe - Australian National University * Henry Monge Camacho - Oak Ridge National Laboratory * Karla Morris - Sandia National Laboratories * Irene Moulitsas - Cranfield University * Elliott Slaughter - SLAC National Accelerator Laboratory * Kenjiro Taura - University of Tokyo * Miwako Tsuji - RIKEN Advanced Institute for Computational Science ADVISORY COMMITTEE * Bradford L. Chamberlain - Hewlett Packard Enterprise * Damian W. I. Rouson - Lawrence Berkeley National Laboratory * Katherine A. Yelick - Lawrence Berkeley National Laboratory ARTIFACT EVALUATION COMMITTEE CHAIR * Irene Moulitsas - Cranfield University ARTIFACT EVALUATION COMMITTEE MEMBERS * Scott Baden - University of California San Diego * Desmond Bisandu - Cranfield University * Valentin Churavy - Massachusetts Institute of Technology * Fabio Durastante - University of Pisa * Yakup Koray Budanaz - Technical University of Munich * Boyu Kuang - Cranfield University * Soren Rasmussen - National Center for Atmospheric Research * Anjiang Wei - Stanford University IMPORTANT DATES * Submissions deadline: July 24, 2023 * Manuscripts review period (including rebuttal): August 2-23, 2023 * Rebuttal submission: August 23, 2023 * Building consensus: August 24 - August 29, 2023 * Notification to authors: August 31, 2023 * Updated AD/AE appendix due from authors: September 4, 2023 * AD/AE review period: September 5-24, 2023 * Final program: September 25, 2023 * Virtual participants upload video presentations: September 30, 2023 * Final AD/AE decisions: October 1, 2023 * Camera-ready papers due from authors: October 2, 2023 * PAW-ATM workshop date: November 12-17, 2023

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The Workshop on Mathematical Methods for Image Processing and Understanding
by Ivan Gerace 01 Apr '23

01 Apr '23

***************************************************************************** ********************* Call for Papers ************************ **************** Deadline April 15, 2023 (very strict) ******************* ***************************************************************************** Call for Papers The 2023 Workshop on Mathematical Methods for Image Processing and Understanding Athens (Greece) MMIPU 2023 July 3-6, 2023 https://sites.google.com/view/mmipu-2023 The Workshop on Mathematical Methods for Image Processing and Understanding will be held in conjunction with the 2023 International Conference on Computational Science and its Applications (ICCSA 2023) in Athens, Greece on July 3-6, 2023: https://iccsa.org/ The Workshop is focused on the analysis of mathematical methods to solve theoretical and computational problems typical of image processing and understanding. Themes and topics of the workshop: - Theoretical and numerical approximation for image processing - Filter theory - Space color definition - Regularization techniques - MAP estimation for image processing - Image reconstruction - Image enhancement - Image rescaling - Image segmentation - Image registration - Image clustering - Image compactification - Image demosaicing - Medical imaging - Digital tomography - Mathematical methods for virtual document restoration - Pattern recognition - Stereoscopic and optical flow estimation Moreover, applications of digital image processing in different fields will be also considered. Paper Submission: To submit a paper, please connect to the Submission site from the link available at the website: https://ess.iccsa.org<https://ess.iccsa.org/> . The authors of each abstract and paper have to be registered to https://ess.iccsa.org<https://ess.iccsa.org/> in order to be validated by the system. All papers should be formatted according to the LNCS rules. Please consult the URL https://iccsa.org/instructions-for-authors for formatting information and templates. Please don’t forget to select “Workshop on Mathematical Methods for Image Processing and Understanding - MMIPU 2023” from the drop-down list of all workshops. Contact Information: Ivan Gerace Dipartimento di Matematica e Informatica Università degli Studi di Perugia Via Vanvitelli, 1 I-06123 Perugia Phone: +39-075-5855050 Fax: +39-075-5855024 Email: ivan <dot> gerace <at> unipg <dot> it

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CfP: 30th IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC)
by anandvp＠hipc.org 29 Mar '23

29 Mar '23

30th IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC) December 18-21, 2023 Goa, India https://hipc.org/ HiPC 2023 will be the 30th edition of the IEEE International Conference on High Performance Computing, Data, Analytics, and Data Science. HiPC serves as a forum to present current work by researchers from around the world as well as highlight activities in Asia in the areas of high performance computing and data science. The meeting focuses on all aspects of high performance computing systems, and data science and analytics, and their scientific, engineering, and commercial applications. Authors are invited to submit original unpublished research manuscripts that demonstrate current research in all areas of high performance computing, and data science and analytics, covering all traditional areas and emerging topics including from machine learning, big data analytics. Each submission should be submitted to one of the six tracks listed under the two broad themes of High Performance Computing and Data Science. High Performance Computing tracks: Algorithms. This track invites papers that describe original research on developing new parallel and distributed computing algorithms, and related advances. Examples of topics that are of interest include (but not limited to): - New parallel and distributed algorithms and design techniques; - Advances in enhancing algorithmic properties or providing guarantees; - Algorithmic techniques for resource allocation and optimization; - Provably efficient parallel and distributed algorithms for advanced scientific computing and irregular applications; - Classical and emerging computation models. Architecture. This track invites papers that describe original research on the design and evaluation of high performance computing architectures, and related advances. Examples of topics of interest include (but not limited to): - High performance processing architectures; - Networks for high performance computing platforms; - Memory, cache and storage architectures; - Approaches to improve architectural properties; - Emerging computational architectures. Applications. This track invites papers that describe original research on the design and implementation of scalable and high performance applications for execution on parallel, distributed and accelerated platforms, and related advances. Examples of topics of interest include (but not limited to): - Shared and distributed memory parallel applications; - Methods, algorithms, and optimizations for scaling applications on peta- and exa-scale platforms; - Hardware acceleration of parallel applications; - Application benchmarks and workloads for parallel and distributed platforms. Systems Software. This track invites papers that describe original research on the design, implementation, and evaluation of systems software for high performance computing platforms, and related advances. Examples of topics of interest include (but not limited to): - Scalable systems and software architectures for high-performance computing; - Techniques to enhance parallel performance; - Techniques to enhance parallel application development and productivity; - Techniques to deal with uncertainties, hardware/software resilience, and fault tolerance; - Software for cloud, data center, and exascale platforms; - Software and programming paradigms for heterogeneous platforms. Scalable Data Science tracks: Scalable Algorithms and Analytics. This track invites papers that describe original research on developing scalable algorithms for data analysis at scale, and related advances. Examples of topics of interest include (but not limited to): - New scalable algorithms for fundamental data analysis tasks (supervised, unsupervised learning, data (pre-)processing and pattern discovery); - Scalable algorithms that are designed to address the characteristics of different data sources and settings; - Scalable algorithms and techniques to reduce the complexity of large-scale data; - Scalable algorithms that are designed to address requirements in different data-driven application domains; - Scalable algorithms that ensure the transparency and fairness of the analysis; - Case studies, experimental studies, and benchmarks for scalable algorithms and analytics; - Scaling and accelerating machine learning, deep learning, and computer vision applications. Scalable Systems and Software. This track invites papers that describe original research on developing scalable systems and software for handling data at scale and related advances. Examples of topics of interest include (but not limited to): - New parallel and distributed algorithms and design techniques; - Design of scalable system software to support various applications; - Scalable system software for various architectures; - Architectures and systems software to support various operations in large data frameworks; - Systems software for distributed data frameworks; - Standards and protocols for enhancing various aspects of data analytics. Important dates - Abstract Submission: 30 June, 2023 - Paper Submission: 7 July, 2023 - Reviews to Authors: 25 August, 2023 - Rebuttal Period: 26 August-1 September, 2023 - 1st Round Author Notification: 22 September, 2023 - Revised Paper Submission: 14 October, 2023 - Final Author Notification: 28 October, 2023 General Co-Chairs - Chiranjib Sur, Shell, India - Neelima Bayyapu, Manipal Institute of Technology, India Vice General Co-Chairs - Sanmukh Rao Kuppannagari, Case Western Reserve University, USA - Vivek Yadav, International Institute of Information Technology, Bangalore, India Program Co-Chairs - High Performance Computing: Yogish Sabharwal, IBM Research, India - Scalable Data Science: Gerald F Lofstead II, Sandia National Laboratories, USA Program Vice-Chairs HPC Tracks - Algorithms: Jee Choi, University of Oregon, USA - Applications: Preeti Malakar, IIT Kanpur, India - Architecture: Saurabh Gupta, AMD, India - System Software: Daniele De Sensi, Sapienza University of Rome, Italy Scalable Data Science Tracks - Scalable Algorithms and Analytics: Venkat Chakaravarthy, IBM Research, India - Scalable Systems and Software: Lena Oden, Argonne National Laboratory, USA Steering Committee Chair - Viktor K. Prasanna, University of Southern California, USA Please see the following site for details: https://hipc.org/

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[DEADLINE APPROACHING] - Marie Curie Action Research Grant
by Massimo Cafaro 28 Mar '23

28 Mar '23

DEADLINE APPROACHING European project InnoCyPES (Innovative Tools for Cyber-Physical Energy Systems) - Research Grant at the University of Salento, Lecce, Italy Who we are The University of Salento is a young dynamic university, keen to expand and to prove itself at a national and international level. Since 1955 the University of Salento has had the aim of promoting knowledge, skill and merit and has offered a large range of educational opportunities. From law to science, economics to engineering, humanities to media studies, the university provides academic pathways to a range of professions as well as post- graduate and specialist courses tailor made to meet the needs of the workplace. Eight Departments providing services and information for students, as well as thirty-three Research Centres throughout the Salento area. The University of Salento has grown rapidly in recent years, consolidating and reinforcing its role as the keystone of the local cultural and social system. It also has a Ph.d. School and Post-graduate schools for Cultural Heritage and for the Legal Professions. The prestigious ISUFI Grandes écoles school offers high-level undergraduate and postgraduate courses for scholarship students to promote excellence. Who we are looking for We are seeking for exceptional, talented applicants committed to work in the context of the European project InnoCyPES (Innovative Tools for Cyber-Physical Energy Systems), a Marie Curie Action Innovative Training Network providing world-leading and transferable scientific training to a new generation of 15 high-achieving early stage researchers (ESRs). In the course of their training, they will study, investigate and improve various facets of digitalized and interconnected energy systems. Supervised by a consortium of prominent and experienced academic institutions, research institutes and industrial partners, they will collaboratively develop a cutting-edge system management platform that covers the entire lifecycle of data for energy system planning, operation and maintenance, based on an understanding of the energy system as a cyber-physical system. The ESR research activity will be carried out on premises mainly at the University of Salento. We invite applications from candidates working in the field of Computer Science, who have experience and strong knowledge with regard to data management (database etc), distributed systems, Peer-to-Peer systems and blockchains, and who have a strong interest in the research topic, covering large scale data management and integration. Excellent programming skills in C/C++ in the Unix environment are also required. We are aware of the fact that knowing all the subjects listed above is even very difficult for a Master of Science student. Therefore, highly motivated students who know some of the above subjects listed above are encouraged to apply. Prospective candidates must not have resided or carried out the main activity of study/work in Italy for more than 12 months during the 3 years preceding the date of the beginning of the contract. Additional requirements are listed in the official public call. The successful candidate will work in close cooperation with prof. Massimo Cafaro and the members of the High Performance Computing Laboratory at the University of Salento. Two secondments of four months each at partners institutions are scheduled, along with the participation in schools and workshops organised within the framework of the InnoCyPES project. Moreover, the candidate will be given ample opportunity to publish his/her scientific results and present them at international conferences. The research grant will cover the ESR position for 30 months. Additional funding may be obtained by project’s partners covering a further six months to be spent in their laboratories. Details Position: research grant at the Department of Engineering for Innovation, University of Salento, Lecce, Italy Duration: 30 months Deadline for application: April 6, 2023 Remuneration: The research grant will last 30 (thirty) months. The annual remuneration, gross of charges to be borne by the beneficiary and inclusive of contributions and social security charges to be borne by the University of Salento, consists of the following items: 1. Living allowance: Euro 40,966.56 (forty thousand nine hundred and sixty-six/56); 2. Mobility allowance: Euro 7.200,00 (seven thousand two hundred/00); 3. Family allowance: 3.1. Euro 0 (zero) per researcher without family obligations; 3.2. Euro 6,000.00 (six thousand/00) for researchers with family obligations (married or with a relationship recognised by Italian law or that of the country of origin or with dependent children). Scientific Supervisor: Prof. Massimo Cafaro Research topic: Large scale data management and integration This is a 30 months “Marie Curie ETN Early Stage Researcher position” on the following topic. The sheer quantum of data being created and collected across jurisdictions requires a carefully planned and proactive approach to data management. The need for fusion and integration of multiple data sources characterized by fragmented data ownership is driving innovative approaches to large scale distributed data management and integration to avoid inconsistent and inaccurate data. The aim is to investigate, design and implement a fully decentralized solution to provide efficient management of dynamically updated information and support for distributed queries. One or more domain specific use cases shall be identified within the context of the project, considering both the current and future needs of some of the involved partners. These nicely fit into the research plan, owing to the need of surveying the user’s requirements to begin with; simultaneously, the uses cases can also be thought of as sources of advanced data management challenges. The official public call is available here (In Italian and English): https://www.unisalento.it/bandi-concorsi/-/bandi/view/66493326 Direct download link: https://www1.unisalento.it/c/document_library/get_file?p_l_id=63872469&fold… Application and declaration forms: https://www1.unisalento.it/c/document_library/get_file?p_l_id=63872469&fold… Prospective candidates can contact prof. Massimo Cafaro at massimo.cafaro(a)unisalento.it for additional information and, if required, for assistance in compiling the application. -- ************************************************************************************** Prof. Massimo Cafaro, Ph.D. Associate Professor of Parallel Algorithms and Data Mining & Machine Learning Head of HPC Lab https://hpc-lab.unisalento.it Director of Master in Applied Data Science Department of Engineering for Innovation University of Salento, Lecce, Italy Via per Monteroni 73100 Lecce, Italy Voice/Fax +39 0832 297371 Web https://www.massimocafaro.it Web https://www.unisalento.it/people/massimo.cafaro E-mail massimo.cafaro(a)unisalento.it E-mail cafaro(a)ieee.org E-mail cafaro(a)acm.org INGV National Institute of Geophysics and Volcanology Via di Vigna Murata 605 Roma CMCC Foundation Euro-Mediterranean Center on Climate Change Via Augusto Imperatore, 16 - 73100 Lecce massimo.cafaro(a)cmcc.it The sum of the intelligence on the planet is a constant; the population is growing. ************************************************************************************** --

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computational.science