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@CEID-HPCLAB

CEID HPCLAB

The High Performance Information Systems Laboratory (HPCLab) is part of the Computer Engineering and Informatics Department (CEID) at the University of Patras.

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  1. K-IPO K-IPO Public

    Kendall-constrained importance preserving oversampling for imbalanced tabular data.

    Jupyter Notebook 5

  2. DistPCA DistPCA Public

    A high-performance distributed out-of-core framework for tera-scale genomic PCA across multi-node HPC clusters.

    C++ 3

  3. Mneme Mneme Public

    A parallel preprocessing framework for large tabular datasets.

    Python 2

  4. BlockAwareTabPipeline BlockAwareTabPipeline Public

    A block-aware distributed data pipeline for out-of-core tabular ML, featuring MPI-based preprocessing and cache-aware loading.

    Python 2

  5. torc_lite torc_lite Public

    Makefile

  6. torc_py torc_py Public

    Forked from IBM/torc_py

    torcpy is a platform-agnostic adaptive load balancing library that orchestrates the scheduling of task parallelism on both shared and distributed memory platforms.

    Python

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