
cuSZ(x): Optimizing ErrorBounded Lossy Compression for Scientific Data on GPUs
Errorbounded lossy compression is a critical technique for significantl...
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Exploring AutoencoderBased ErrorBounded Compression for Scientific Data
Errorbounded lossy compression is becoming an indispensable technique f...
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VELOC: VEry Low Overhead Checkpointing in the Age of Exascale
Checkpointing large amounts of related data concurrently to stable stora...
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SDRBench: Scientific Data Reduction Benchmark for Lossy Compressors
Efficient errorcontrolled lossy compressors are becoming critical to th...
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Revisiting Huffman Coding: Toward Extreme Performance on Modern GPU Architectures
Today's highperformance computing (HPC) applications are producing vast...
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SDC Resilient Errorbounded Lossy Compressor
Lossy compression is one of the most important strategies to resolve the...
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cuSZ: An Efficient GPUBased ErrorBounded Lossy Compression Framework for Scientific Data
Errorbounded lossy compression is a stateoftheart data reduction tec...
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AlgorithmBased Fault Tolerance for Convolutional Neural Networks
Convolutional neural networks (CNNs) are becoming more and more importan...
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FRaZ: A Generic HighFidelity FixedRatio Lossy Compression Framework for Scientific Floatingpoint Data
With everincreasing volumes of scientific floatingpoint data being pro...
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DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using ErrorBounded Lossy Compression
DNNs have been quickly and broadly exploited to improve the data analysi...
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MemoryEfficient Quantum Circuit Simulation by Using Lossy Data Compression
In order to evaluate, validate, and refine the design of new quantum alg...
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Optimizing Lossy Compression RateDistortion from Automatic Online Selection between SZ and ZFP
With everincreasing volumes of scientific data produced by HPC applicat...
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FixedPSNR Lossy Compression for Scientific Data
Errorcontrolled lossy compression has been studied for years because of...
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Improving Performance of Iterative Methods by Lossy Checkponting
Iterative methods are commonly used approaches to solve large, sparse li...
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InDepth Exploration of SingleSnapshot Lossy Compression Techniques for NBody Simulations
In situ lossy compression allowing usercontrolled data loss can signifi...
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Zchecker: A Framework for Assessing Lossy Compression of Scientific Data
Because of vast volume of data being produced by today's scientific simu...
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Franck Cappello
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