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LCP: Enhancing Scientific Data Management with Lossy Compression for Particles
Summary: LCP is a lossy compressor for particle datasets to improve HPC data management. LCP-S is an error-bound aware block-wise spatial coder, broadly applicable to particle data; LCP is a hybrid compressor delivering superior quality and speed vs prior particle codecs.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 7046
- Venue
- SIGMOD
- Year
- 2025
- Pagerank
- 4.1905499e-05
- Overall Rank
- 10,393 | 27.77%
- DOI
-
10.1145/3709700
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Incoming Citations (Sorted by Pagerank)
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| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
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| Rank |
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Year |
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Pagerank |
| 211 |
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2015 |
VLDB |
0.0003401421 |
| 557 |
SystemML: Declarative Machine Learning on Spark |
2016 |
VLDB |
0.00020186115 |
| 1,241 |
A Demonstration of SciDB: A Science-Oriented DBMS |
2009 |
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0.00013089816 |
| 1,844 |
The Researcher’s Guide to the Data Deluge: Querying a Scientific Database in Just a Few Seconds |
2011 |
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0.00010339715 |
| 2,141 |
Online Piece-wise Linear Approximation of Numerical Streams with Precision Guarantees* |
2009 |
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9.4561227e-05 |
| 2,274 |
ModelarDB: Modular Model-Based Time Series Management with Spark and Cassandra |
2018 |
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9.1432785e-05 |
| 2,672 |
Cumulon: Optimizing Statistical Data Analysis in the Cloud |
2013 |
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8.3334428e-05 |
| 2,846 |
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2015 |
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8.0293734e-05 |
| 2,975 |
Parallel In-Situ Data Processing with Speculative Loading |
2014 |
SIGMOD |
7.7871791e-05 |
| 9,452 |
Toward Quantity-of-Interest Preserving Lossy Compression for Scientific Data |
2023 |
VLDB |
4.3363262e-05 |
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