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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. DistPCA DistPCA Public

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

    C++ 5

  2. K-IPO K-IPO Public

    Kendall-constrained importance preserving oversampling for imbalanced tabular data.

    Jupyter Notebook 5

  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. Mneme.jl Mneme.jl Public

    Parallel out-of-core tabular data preprocessing in Julia.

    Julia 1

  6. torc_lite torc_lite Public

    Torc-Lite: A lightweight task-parallel runtime combining MPI and POSIX threads for dynamic scheduling and load balancing on multicore systems and clusters.

    Makefile

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