NDzip: a gpu data compressor of tu vienna

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Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
20/100
Issue type
Feature
Clarity
Needs clarification
Activity status
Stale
Tech stack
cpp
Domain
data, hpc, performance

Research direction

Review the linked NDzip paper and the celerity/ndzip project first, then compare their GPU lossless-compression approach with FluidX3D's large-result handling. The issue names no files or tests, so define the integration scope, supported data path, and validation criteria before implementation.

Written by the indexing model from the issue text.

Description

Perhaps a solution for large results with huge data size here:
https://dps.uibk.ac.at/~fabian/slides/2021-sc21-ndzip-gpu-efficient-lossless-compression-of-scientific-floating-point-data-on-gpus.pdf
And
https://github.com/celerity/ndzip

Dominant language
C++
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Forks
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