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August 2021

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Call for Papers - 13th HiPC Student Research Symposium (SRS)
by Sanmukh Kuppannagari 31 Aug '21

31 Aug '21

********************************************************************** We apologize if you received multiple copies of this email. Please feel free to distribute it to those who might be interested ********************************************************************** 13th HiPC Student Research Symposium (SRS) www.hipc.org/srs in conjunction with the 28th INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING, DATA, and ANALYTICS (HIPC 2021) December 17-20, 2021 | Virtual Event, INDIA | www.hipc.org OVERVIEW HiPC 2021 will feature the 13th Student Research Symposium on High Performance Computing, Data, and Analytics (HPC) aimed at stimulating and fostering student research, and providing an international forum to highlight student research accomplishments. The symposium will also provide exposure to students in the best practices in HPC in academia and industry. The symposium will feature student posters and provide students with other enriching experiences, such as workshops, industry exhibits, and demos. The Conference Reception and multiple Student Symposium Poster Exhibit sessions will provide an opportunity for students to interact with HPC researchers and practitioners (and recruiters) from academia and industry. Awards for Best Poster, sponsored by IEEE Computer Society – Technical Committee on Parallel Processing (TCPP) – will be presented at the symposium. An online book containing the resumes of the students participating in the symposium will be compiled and made available to the sponsors of the HiPC 2021 conference. TOPICS Papers are solicited in all areas of high-performance computing, data, and analytics, including but not limited to topics mentioned below. High-Performance Computing 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 (e.g., fault tolerance, resilience, concurrency, data locality, communication-avoiding); - Classical and emerging computation models (e.g., parallel/distributed models, quantum computing, neuromorphic and other bioinspired models); - Provably efficient parallel and distributed algorithms for advanced scientific computing and irregular applications (e.g., numerical linear algebra, graph algorithms, computational biology); and - Algorithmic techniques for resource allocation and optimization (e.g., scheduling, load balancing, resource management). Architectures: 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): - Design and evaluation of high-performance processing architectures (e.g., reconfigurable, system-on-chip, many cores, vector processors); - Design and evaluation of networks for high-performance computing platforms (e.g., interconnect topologies, network-on-chip); - Design and evaluation of memory, cache and storage architectures (e.g., 3D, photonic, Processing-In-Memory, NVRAM, burst buffers, parallel I/O); - Approaches to improve architectural properties (e.g., energy/power efficiency, reconfigurable, resilience/fault tolerance, security/privacy); and - Emerging computational architectures (e.g., quantum computing, neuromorphic and other bioinspired architectures). Applications: This track invites papers that describe original research on the design and implementation of scalable applications for execution on parallel and distributed platforms, and related advances. Examples of topics of interest include (but not limited to): - Design and implementation of shared and distributed memory parallel applications (e.g., scientific computing and industry applications, emerging applications in IoT and life sciences – biology, medicine, chemistry, etc.); - Design and simulation methodologies for scaling applications on peta and exascale platforms (e.g., co-design approaches, hardware/software co-design, heterogeneous and hybrid programming); - Hardware acceleration of parallel applications (e.g., CPU/GPUs, multi-GPU clusters, FPGA, vector processors, manycore); and - Design of application benchmarks 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 (e.g., middleware, operating systems, I/O services); - Techniques to enhance parallel performance (e.g., compiler/runtime optimization, learning from application traces, profiling); - Techniques to enhance parallel application development and productivity (e.g., Domain-Specific Languages, programming environments, performance/correctness checking and debugging); - Techniques to deal with uncertainties, hardware/software resilience, and fault tolerance; - Software for the cloud, data center, and exascale platforms (e.g., middleware tools, schedulers, resource allocation, data migration, load balancing); and - Software and programming paradigms for heterogeneous platforms (e.g., libraries for CPU/GPU, multi-GPU clusters, and other accelerator platforms). Data Science 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, and pattern discovery); - Scalable algorithms that are designed to address the characteristics of different data sources and settings (e.g., graphs, social networks, sequences, data streams); - Scalable algorithms and techniques to reduce the complexity of large-scale data (e.g., streaming, sublinear data structures, summarization, compressive analytics); - Scalable algorithms that are designed to address requirements in different data-driven application domains (e.g., life sciences, business, agriculture); and - Scalable algorithms that ensure the transparency and fairness of the analysis. 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): - Design of scalable system software to support various applications (e.g., recommendation systems, web search, crowdsourcing applications, streaming applications); - Design of scalable system software for various architectures (e.g., OpenPower, GPUs, FPGAs); - Architectures and systems software to support various operations in large data frameworks (e.g., storage, retrieval, automated workflows, data organization, visualization, visual analytics, human-in-the-loop); - Design and implementation of systems software for distributed data frameworks (e.g., distributed file system, virtualization, cloud services, resource optimization, scheduling); and - Standards and protocols for enhancing various aspects of data analytics (e.g., open data standards, privacy-preserving, and secure schemes). IMPORTANT DATES Aug 19, 2021 > Submission Opens Sep 17, 2021 > Submission Deadline Nov 1, 2021 > Accept/Reject Decision Notification Dec 17-20, 2021 > Symposium ELIGIBILITY Submissions should have at least one author who is a student during any part of the calendar year 2021. Submissions may have multiple student or non-student co-authors. Submissions must mark student authors with an asterisk (*). SUBMISSION INSTRUCTIONS In order to be considered for a poster at the Student Research Symposium, authors must submit papers/extended abstracts, not exceeding five (5) letter size (8.5in x 11in) pages, in 11 or 12 point font, single-spaced, with 1'' margins on all sides. Papers are to be submitted online in PDF format through Easychair at: https://easychair.org/conferences/?conf=hipc2021 The papers will be used to select posters, but will NOT be published in the conference proceedings. This will provide students the flexibility to publish an extended version of their paper at other venues, after benefiting from reviewer feedback from the symposium. Papers submitted to the symposium are expected to be reviewed by at least three independent reviewers. Papers will be judged on technical merit, quality, relevance to the symposium, and related parameters. Plagiarism, in any form, especially verbatim reproduction from other published works, is prohibited. Papers that are plagiarized will be rejected, and the corresponding department and institution will be notified. Facilities for displaying posters will be made available, and the exact specifications of the poster size will be provided later. At least one student author of each paper that is accepted must register and attend the conference to present their work. Papers with no-shows will be retroactively rejected. SYMPOSIUM CO-CHAIRS Ashok Srinivasan, University of West Florida, USA Dip Sankar Banerjee, IIT Jodhpur, India CONTACT Contact student_symposium at hipc dot org for more details.

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2022 IEEE International Conference on Evolving and Adaptive Intelligent Systems (IEEE EAIS 2022): First Call for Papers and Special Sessions
by Announce Announcements 02 Aug '21

02 Aug '21

*** First Call for Papers and Special Sessions *** 2022 IEEE International Conference on Evolving and Adaptive Intelligent Systems (IEEE EAIS 2022) May 25-27, 2022, Golden Bay Hotel 5*, Larnaca, Cyprus http://cyprusconferences.org/eais2022/ <http://cyprusconferences.org/eais2022/> (Proceedings to be published by the IEEE Xplore Digital Library; Special Journal Issue with Evolving Systems, Springer) IEEE EAIS 2022 will provide a working and friendly atmosphere and will be a leading international forum focusing on the discussion of recent advances, the exchange of recent innovations and the outline of open important future challenges in the area of Evolving and Adaptive Intelligent Systems. Over the past decade, this area has emerged to play an important role on a broad international level in today's real-world applications, especially those ones with high complexity and dynamic changes. Its embedded modelling and learning methodologies are able to cope with real-time demands, changing operation conditions, varying environmental influences, human behaviours, knowledge expansion scenarios and drifts in online data streams. Conference Topics Basic Methodologies Evolving Soft Computing Techniques. Evolving Fuzzy Systems. Evolving Rule-Based Classifiers. Evolving Neuro-Fuzzy Systems. Adaptive Evolving Neural Networks. Online Genetic and Evolutionary Algorithms. Data Stream Mining. Incremental and Evolving Clustering. Adaptive Pattern Recognition. Incremental and Evolving ML Classifiers. Adaptive Statistical Techniques. Evolving Decision Systems. Big Data. Problems and Methodologies in Data Streams Stability, Robustness, Convergence in Evolving Systems. Online Feature Selection and Dimension Reduction. Online Active and Semi-supervised Learning. Online Complexity Reduction. Computational Aspects. Interpretability Issues. Incremental Adaptive Ensemble Methods. Online Bagging and Boosting. Self-monitoring Evolving Systems. Human-Machine Interaction Issues. Hybrid Modelling, Transfer Learning. Reservoir Computing. Applications of EAIS Time Series Prediction. Data Stream Mining and Adaptive Knowledge Discovery. Robotics. Intelligent Transport and Advanced Manufacturing. Advanced Communications and Multimedia Applications. Bioinformatics and Medicine. Online Quality Control and Fault Diagnosis. Condition Monitoring Systems. Adaptive Evolving Controller Design. User Activities Recognition. Huge Database and Web Mining. Visual Inspection and Image Classification. Image Processing. Cloud Computing. Multiple Sensor Networks. Query Systems and Social Networks. Alternative Statistical and Machine Learning Approaches. Special Sessions Distinguished researchers working in theory, analysis and applications of evolving adaptive and intelligent systems and related areas are encouraged to submit proposals within the technical scope of IEEE EAIS 2022. Researchers interested in organising special sessions are invited to submit a formal proposal to the Special Sessions Chair Gabriella Casalino (gabriella.casalino(a)uniba.it <mailto:gabriella.casalino@uniba.it>) and to the General Chair George Angelos Papadopoulos (george(a)cs.ucy.ac.cy <mailto:george@cs.ucy.ac.cy>), by specifying: - Special Session Lead Organiser email address, details and mini-bio - Co-Organiser(s) details and mini-bio (optional) - Special Session title - Aim and scope of the Special Session (~half a page) - A list of main topics of the Special Session - A list of potential/expected contributors Submissions Submitted papers should not exceed 8 pages plus at most 2 pages overlength. Submissions of full papers are accepted online through Easy Chair (https://easychair.org/conferences/?conf=eais2022 <https://easychair.org/conferences/?conf=eais2022>). The EAIS 2022 proceedings will be published on IEEE Xplore Digital Library. Authors of selected papers will be invited to submit extended versions for possible inclusion in a special issue of Evolving Systems - An Interdisciplinary Journal for Advanced Science and Technology (Springer). Important Dates • Special Session submission: October 1, 2021 • Special Session acceptance: October 10, 2021 • Paper submission: January 10, 2022 • Notification of acceptance/rejection: February 19, 2022 • Camera ready submission: March 20, 2022 • Authors registration: March 20, 2022 • Conference Dates: May 25-27, 2022 Social Media FB: https://www.facebook.com/IEEEEAIS <https://www.facebook.com/IEEEEAIS> Twitter: https://twitter.com/IEEE_EAIS <https://twitter.com/IEEE_EAIS> Linkedin: https://www.linkedin.com/events/2022ieeeconferenceonevolvingand681556007867… <https://www.linkedin.com/events/2022ieeeconferenceonevolvingand681556007867…> Organization Honorary Chairs • Dimitar Filev, Ford Motor Co., USA • Nikola Kasabov, Auckland University of Technology, New Zealand General Chairs • George A. Papadopoulos, University of Cyprus, Nicosia, Cyprus • Plamen Angelov, Lancaster University, UK Program Committee Chairs • Giovanna Castellano, University of Bari, Italy • José A. Iglesias, Carlos III University of Madrid, Spain

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