[HTCondor-users] IPDPS 2025

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IPDPS 2025 CALL FOR PAPERS

10 October Deadline

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IEEE IPDPS 2025

39th IEEE International Parallel &

Distributed Processing Symposium

June 3-7, 2025

Milan, Italy

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IPDPS 2025 CALL FOR PAPERS

Important Dates:

â Thursday, October 3, 2024- Abstracts due

â Thursday, October 10, 2024 â Papers due

To see the full Call for Papers, visit ipdps.org.

IPDPS 2025 NOW OPEN FOR SUBMISSIONS

Authors are invited to submit manuscripts that present novel and impactful research in high performance computing (HPC) in parallel and distributed processing. Works focusing on emerging technologies, interdisciplinary work spanning multiple IPDPS focus areas, and novel open-source artifacts are welcome. Topics of interest include but are not limited to the following areas:

Algorithms:

This track focuses on algorithms for computational and data science in parallel and distributed computing environments (including cloud, edge, fog, distributed memory, and accelerator-based computing).

Applications:

This track focuses on real-world applications (combinatorial, scientific, engineering, data analysis, and visualization) that use parallel and distributed computing concepts.

Architecture:

This track focuses on existing and emerging architectures for high performance computing,

Machine Learning and Artificial Intelligence (ML/AI):

This track focuses on all areas of ML/AI that are relevant to parallel and distributed computing.

Measurements, Modeling, and Experiments:

This track focuses on experiments and performance-oriented studies in the practice of parallel and distributed computing.

Programming Models, Compilers, and Runtime Systems:

This track covers topics ranging from the design of parallel programming models and paradigms to languages and compilers supporting these models and paradigms to runtime and middleware solutions.

System Software:

This track focuses on software that is close to the bare high performance computing (HPC) hardware.

The conference will recognize exceptional contributions with a Best Paper Award and a Best Open-Source Contribution Award.

Visit the website at ipdps.org to see the full Call for Papers including details of

WHAT/WHERE TO SUBMIT,

a description of REVIEW OF MANUSCRIPTS,

the IMPORTANT DATES, and

a listing of the PROGRAM COMMITTEE.

2025 PROGRAM CHAIRS

Michela Becchi, North Carolina State University

Karen Devine, Sandia National Laboratories, ret.

2025 PROGRAM AREA CO-CHAIRS

Algorithms

Maxim Naumov (Meta)

Albert-Jan Yzelman (Huawei Technologies)

Applications

Sanjukta Bhowmick (University of North Texas)

Kara Peterson (Sandia National Laboratories)

Architectures

Amro Awad (University of Oxford)

Antonino Tumeo (Pacific Northwest National Laboratory)

Machine Learning and Artificial Intelligence

Prasanna Balaprakash (Oak Ridge National Laboratory)

Dong Li (University of California, Merced)

Measurement, Performance and Experiments

Alexandru Iosup (Vruje Universiteit Amsterdam)

Tanzima Islam (Texas State University)

Programming Models, Compilers, and Runtime Systems

Franck Cappello (Argonne National Laboratory)

Xipeng Shen (North Carolina State University)

System Software

Patrick Bridges (University of New Mexico)

Sarah Neuwirth (Johannes Gutenberg University Mainz)

IPDPS 2025 Venue: Politecnico di Milano

Politecnico di Milano is the largest technical university in Italy, offering undergraduate, graduate, and higher education courses in engineering, architecture, and design. Founded in 1863, it is one of the oldest universities in Milan.

IPDPS 2025 Location: Milan, Italy

Milan, a metropolis in Italy's northern Lombardy region, is a global capital of fashion and design. Home to the national stock exchange, itâs a financial hub also known for its high-end restaurants and shops. The Gothic Duomo di Milano cathedral and the Santa Maria delle Grazie convent, housing Leonardo da Vinciâs mural âThe Last Supper,â testify to centuries of art and culture.

2025 GENERAL CO-CHAIRS

Marco D. Santambrogio, Politecnico di Milano, Italy

Ananth Kalyanaraman, Washington State University, USA

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IEEE Computer Society Technical Committee on Distributed Processing

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