Konferenzen  >  Informatik  >  Hochleistungsrechner, Parallelrechner

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ALLE LÄNDER (5)
1
SREcon24 Europe/Middle East/Africa
29. Okt 2024 - 30. Okt 2024 • Dublin, Irland
Veranstalter:
USENIX Association
Zusammenfassung:
SREcon24 Europe/Middle East/Africa is a gathering of engineers who care deeply about site reliability, systems engineering, and working with complex distributed systems at scale. SREcon strives to challenge 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.
Eintrags-ID:
1574998
2
Dagstuhl-Seminar — Graph Algorithms: Distributed Meets Dynamic
17. Nov 2024 - 22. Nov 2024 • Schloss Dagstuhl, Wadern, Deutschland
Veranstalter:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Zusammenfassung:
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.
Eintrags-ID:
1589412
3
SC24 — Supercomputing 2024
17. Nov 2024 - 22. Nov 2024 • Atlanta, Georgia, Vereinigte Staaten
Themen:
The International Conference for High Performance Computing, Networking, Storage, and Analysis
Eintrags-ID:
1621997
4
SREcon25 Americas
25. Mär 2025 - 27. Mär 2025 • Santa Clara, CA, Vereinigte Staaten
Veranstalter:
USENIX Association
Zusammenfassung:
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.
Eintrags-ID:
1574922
5
Parallel-in-time algorithms for exascale applications
07. Jul 2025 - 11. Jul 2025 • ICMS, Bayes Centre, Edinburgh, Großbritannien
Veranstalter:
The International Centre for Mathematical Sciences (ICMS)
Zusammenfassung:
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.
Eintrags-ID:
1628066


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