Date : 2026-03-25 => 2026-03-27
Lieu : Cluj-Napoca, Romania
Dear colleagues,
We invite submissions to the HPCoSiMC special session at the PDP 2026 International Conference:
https://sites.google.com/view/hpcosimc-2026/
The HPCoSiMC special session addresses the growing need for efficient similarity computations on massive and complex sequence-type data. It highlights innovative strategies that harness modern parallel platforms to overcome two key bottlenecks: handling large-scale data volumes and managing computational complexity. Topics of interest include methods for exploiting advanced parallel architectures, algorithmic adaptations enabling scalable execution, and user-oriented approaches that simplify access to high-performance computing for non-experts.
The objective of this special session is to gather contributions addressing the challenges of similarity studies, particularly those arising from computational complexity and the massive volume of data involved. We encourage submissions on the following topics, which are not limited to the following:
* Parallelization models and algorithms for large-scale similarity analysis on massive datasets
* Leveraging accelerator architectures such as GPUs and FPGAs to optimize similarity computations
* Hybrid and heterogeneous computing approaches (multi-core, distributed-memory, GPU, accelerators) for similarity tasks
* Implicit parallelism models for similarity analysis on sequence-type data, workflow design, and optimization for large-scale similarity pipelines
* Tools and frameworks to make HPC-based similarity analysis accessible to non-specialists
* Benchmarking and performance evaluation of similarity algorithms on modern parallel architectures
* Dimensionality reduction and indexing methods for scalable similarity search
* Novel and emerging applications that benefit from similarity computations
* Embedding techniques for efficient similarity search
* New methods and metrics for measuring similarity across application domains
Important dates:
* Paper submission : November 28th 2025
* Author notification : January 5th 2026
* Camera-ready copy : January 26th 2026
Submission guidelines
Authors should submit a full paper not exceeding 8 pages in the IEEE Conference proceedings format (IEEEtran, double-column, 10pt) and follow format guidelines found at https://www.ieee.org/conferences/publishing/templates.html.
For submission, please refer to the Easychair submission system as indicated in the Main Conference webpage (https://www.pdp2026.org/submission/cfp), and make sure that you select the “High Performance Computing for Similarity on Massive & Complex data (HPCoSiMC)” track.
Double-bind review: the first page of the paper should contain only the title and abstract; in the reference list, references to the authors own work should appear as “omitted for blind review” entries.
A special issue in a peer-reviewed international journal is planned, featuring a selection of the best papers from the HPCoSiMC session.
We look forward to your submissions
Mike Gowanlock, Verónika Peralta and Sophie Robert (special session co-chairs)
Notre site web : www.madics.fr
Suivez-nous sur Tweeter : @GDR_MADICS
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