2026· International Conference on Conceptual Structures· pp. 579-594· 0 citations· 32 references
Computer Science
TL;DR
This work establishes a basis for GPU-resident computational frameworks, allowing for the elimination of the overhead associated with decompression in high-scale filtering, Graph Neural Networks (GNN) pre-processing, and in-situ scientific analytics.
HPC (High Performance Computing) applications such as numerical simulations are memory-intensive. As memory grows scarce compared to compute power, compression could alleviate hardware demands by reducing memory footprint at runtime, especially on GPU. Existing compression algorithms for scientific data are not specifi...
T. Hovi, François Letierce, L. Lucas· Proceedings of the Internati...· 0 citations
FitFloat is presented, a drop-in floating-point array replacement supporting user-specified precision on GPUs with the goal of reducing storage requirements of scientific applications while maximizing performance over Unified Memory.
A three-tier buffer manager that manages encoded pages across SSD, RAM and GPU device memory while codec-specific operators fuse decompression, selection, join and aggregation is presented.
Maha Alwahibi, Maximilian E. Schüle· Datenbank-Spektrum· 0 citations
FastPair is presented, a GPU decoder that optimizes the existing dictionary decoding process by reorganizing lookups and assembling decoded substrings for contiguous output writes, reaching up to 1.6 TB/s on a B300.
J. Isaacs, Francesco Gargiulo, P. Boncz et al.· 0 citations
The minSSIM metric and SBLC, the first SSIM-bounded compressor, are introduced, which is fully CPU-GPU compatible and guarantees the user-provided minSSIM bound, which it enforces by strategically tightening the error bound on specific values in the data.
Overlay bitmaps is introduced, a data structure that organizes column chunks into sequences of bitmap parts, each representing distinct column values that are further compressed using run-length encoding, which surpasses traditional dictionary encoding in compression and reduces load execution times by up to two orders...
Günes Aluç, Daniel J. Farrar, Manoj Kumar Sharma et al.· Proceedings of the VLDB Endo...· 0 citations
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