Conferences  >  Informatics  >  High Performance Computing, Supercomputing, Parallel Computing

Schloss Dagstuhl - Leibniz-Zentrum für Informatik

In modern computational systems, the need to handle large-scale inputs imposes interesting computational challenges. Two such challenges are (1) the need to distribute the computation over multiple units, and (2) the dynamic nature of the input, which may undergo changes over time. A particular class of problems studied in these settings is when the input to the computational task is a huge graph. The field of dynamic graph algorithms addresses efficiently processing edge/vertex insertions/deletions in the input graph. In distributed graph algorithms, the input resides across multiple machines, and the goal is to solve the problem while minimizing the number of rounds of communication. Both of these rich research areas have been extensively studied since at least the 1980’s. We know of efficient algorithms for a large variety of tasks, such as shortest paths problems, coloring, subgraph finding, symmetry breaking, approximations, and many more. However, there are still fundamental problems with no known efficient solutions in some of these models, and even more where the exact complexity of computation is yet to be determined. In the recent years, a number of influential works show how transferring ideas from one of these models to the other provides progress on some of the long-lasting open problems. The goal of this Dagstuhl Seminar is to build a bridge between the two research communities of dynamic graph algorithms and distributed computing, by working together on joint research frontiers.

Distributed, Edge and Cloud Computing,    Scientific Computing and Data Science

The International Conference for High Performance Computing, Networking, Storage, and Analysis

USENIX Association

SREcon is a gathering of engineers who care deeply about site reliability, systems engineering, and working with complex distributed systems at scale. Our purpose is to be inclusive as we bring together ideas representative of our diverse community, whether its members are focusing on a global scale, launching new products and ideas for a small business, or pivoting their approach to unite software and systems engineering. SREcon challenges both those new to the profession as well as those who have been involved in it for decades. The conference has a culture of critical thought, deep technical insights, continuous improvement, and innovation.

Software Engineering,    Algorithms and Data Structures

MIPRO Croatian Society

MIPRO 2025 focuses on information, communication, electronic technology, smart industry, renewable energy sources, and ecology, as well as new and high technologies in general. We welcome you to submit your scientific, technical, and review papers for any of our 17 conferences.

MIPRO office;     Phone: [+38551423984];     Email: mipro@mipro.hr

Artificial Intelligence Systems, Business Intelligence Systems and Big Data Processing, Computers in Education, Cyber and Information Security, Telecommunications & Information, Distributed Computing and Cyber-Physical Systems, Digital Economy and Digital Society, Data Science and Biomedical Engineering, Engineering Education, Human-Computer Interaction, Information and Communication Technology Law, Microelectronics, Electronics and Electronic Technology, Optoelectronics and Photonics, Project Management, Smart Industries and Digital Ecosystems, Software and Systems Engineering

Electronic Engineering,    Human-Computer Interaction, User Experience, Virtual Reality

MIPRO Croatian Society

Widespread computing application domains significantly impact the progress of embedded systems and their application in technical systems, in terms of methodologies and design paradigms, supporting tools, and resulting technologies. MIPRO DC-CPS Conference aims to proclaim knowledge and share new ideas among researchers and engineers to share research experiences and industrial practices.

Dejan Skvorc - conference chair;     Phone: [+38551423984];     Email: dejan.skvorc@fer.hr

Distributed Architecture and Protocols, Distributed Algorithms and Data, Mobile and Web Information Systems, High-Performance Computing, Cloud, Edge, Fog, and Dew Computing, Data Centers and Data Center Management, Internet of Things, Sensor Networks, Autonomous Systems, Drones and Drone-related Information Systems, Control and Automation, Embedded Systems and Applications, Dependability, Adaptability, and Scalability

Distributed, Edge and Cloud Computing,    Systems theory, Control and Automation

The International Centre for Mathematical Sciences (ICMS)

Parallel-in-time algorithms, the topic of this workshop, enable parallel computation in the time domain, in addition to more traditional parallelism through spatial domain decomposition. Time-parallelism is significantly more challenging than spatial parallelism due to causality, since the state of the system at future times must depend on that at past times. However, the advent of the exascale era has inspired recent research in to these algorithms, leading to an explosive increase in the number of different algorithms available. The efficiency of these algorithms depends on tailoring the algorithm to the equations being solved and this requires interdisciplinary collaboration both with the application experts and with mathematicians working in adjacent areas.