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22nd IEEE International Symposium on Parallel and Distributed Computing (ISPDC 2023), 10-12 July 2023, Bucharest, Romania

Nowadays applications generate enormous datasets that are continuously increasing exponentially in both complexity and volume, making their analysis, archival, and sharing one of the grand challenges of modern big data analytics. Supported by the rise of Artificial Intelligence and Deep Learning, such enormous datasets are becoming valuable resources even beyond their original scope, opening new opportunities to learn patterns and extract new knowledge at large scale, potentially without human intervention. However, this leads to an increasing complexity of the workflows that combine traditional HPC simulations with Big Data analytics and AI applications. In a quest to keep up with the complexity of the workflows, the design and operation of the infrastructures capable of running them efficiently at scale has evolved accordingly. Ideas pioneered by cloud and edge computing (aspects related to elasticity, multi-tenancy, geo-distributed processing, stream computing) are also beginning to be adopted in the HPC ecosystem (containerized workflows, on-demand jobs to complement batch jobs, streaming of experimental data from instruments directly to supercomputers, etc.). Thus, modern scientific applications need to be integrated into an entire Compute Continuum from the edge all the way to supercomputers and large data-centers using flexible infrastructures and middlewares. This year’s edition of ISPDC makes a highlight on the efficient support for processing across such a Computing Continuum.

Following very successful previous editions in different venues since 2002, the 22nd IEEE ISPDC conference will be hosted by the University POLITEHNICA of Bucharest, Bucharest, Romania. The conference aims at presenting original and unpublished research that will target state-of-the-art as well as emerging topics pertaining to the field of Parallel and Distributed Computing paradigms and applications. Parallel and Distributed Computing is today a central topic in computer science, engineering and society in the development of new approaches for the modeling, design, analysis, evaluation, and programming of future parallel and distributed computing systems and applications.

We cordially invite you to submit your contribution to the 22nd IEEE International Symposium on Parallel and Distributed Computing (ISPDC 2023), considering our mission to bring together researchers, engineers, and practitioners involved in the development of new algorithms, applications and architectures for parallel and distributed computing, as well as modelling and simulation, visualization and data analytics. The event will host presentations of invited talks, contributed papers, tutorials, workshops and industrial sessions. The Proceedings of the ISPDC 2023 conference will be published in IEEE Xplore digital library, indexed by Scopus (Elsevier) and Clarivate (Web of Science).

The conference scope will be focused on, but not limited to, the following topics:

  • Applications of parallel and distributed systems: science and engineering; data warehousing; social networks; management of big data; embedded networking systems; software-defined networks; cloud and grid computing; blockchain and distributed ledgers; mobile systems; web-based and multimedia systems; knowledge-based systems; biomedical applications; resource management including green computing.
  • Parallel and distributed system architecture: instruction-level and thread-level parallelism; distributed system control and performance issues; power aware design; network on chip and system on chip architectures; global application state aware design; reconfigurable systems; network architecture issues; parallel I/O and storage design; embedded systems; dedicated architectures including modular design, graphics and signal processors, media accelerators; intelligent architectural design.
  • Programming and developments tools: parallel and multicore programming; runtime systems and parallel virtual machines; multi-threaded operating systems; time-critical parallel embedded systems, middleware for grids, clouds and data centers; Internet programming tools, performance modeling and evaluation tools.
  • Algorithm design: parallel numerical, combinatorial and randomized algorithms; algorithms for heterogeneous systems or systems of systems; communication protocols, multicasting and interconnect algorithms; data-intensive parallel algorithms; scalability of algorithms and data structures; networking reconfiguration and mobile computing algorithms; performance modeling and optimization; scheduling and load balancing algorithms; efficient security and safety algorithms.

(* IEEE affiliation pending final approval)

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