e-ISSN: Pending
Failed Experiment ReportOpen accessComputer Science

Significant improvement of lossy compression rate and speed of HPC data using perceptron parallelized compression

Xinzhe Chen; Jianjiang Li · 2023 · arXiv

WASTE classifies this as Failed Experiment Report · AI classification, approximate

An experimental approach did not work as intended — learn what to avoid before investing the same effort.

Abstract (excerpt)

The escalating surge in data generation presents formidable challenges to information technology, necessitating advancements in storage, retrieval, and utilization. With the proliferation of artificial intelligence and big data, the "Data Age 2025" report forecasts an exponential increase in global data production. The escalating data volumes raise concerns about efficient data processing. The paper addresses the predicament of achieving a lower compression ratio while maintaining or surpassing the compression performance of state-of-the-art techniques. This paper introduces a lossy compressio

Excerpt shown for reference under fair use — read the full paper at the publisher.

About to run something similar?

Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.

WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.

Metadata source: arXiv