
cuSZ(x): Optimizing ErrorBounded Lossy Compression for Scientific Data on GPUs
Errorbounded lossy compression is a critical technique for significantl...
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Scalable Multigridbased Hierarchical Scientific Data Refactoring on GPUs
Rapid growth in scientific data and a widening gap between computational...
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Exploring AutoencoderBased ErrorBounded Compression for Scientific Data
Errorbounded lossy compression is becoming an indispensable technique f...
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On Generalizing Trace Minimization
Ky Fan's trace minimization principle is extended along the line of the ...
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On the Optimality of the Oja's Algorithm for Online PCA
In this paper we analyze the behavior of the Oja's algorithm for online/...
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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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Bifurcation Analysis of the Eigenstructure of the Discrete Singlecurl Operator in Threedimensional Maxwell's Equations with Pasteur Media
This paper focuses on studying the bifurcation analysis of the eigenstru...
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FTK: A Simplicial Spacetime Meshing Framework for Robust and Scalable Feature Tracking
We present the Feature Tracking Kit (FTK), a framework that simplifies, ...
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Decoupled StructurePreserving Doubling Algorithm with Truncation for LargeScale Algebraic Riccati Equations
In Guo et al, arXiv:2005.08288, we propose a decoupled form of the struc...
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Highly accurate decoupled doubling algorithm for largescale Mmatrix algebraic Riccati equations
We consider the numerical solution of largescale Mmatrix algebraic Ric...
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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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MGARD+: Optimizing Multilevel Methods for Errorbounded Scientific Data Reduction
Data management is becoming increasingly important in dealing with the l...
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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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Accelerating Multigridbased Hierarchical Scientific Data Refactoring on GPUs
Rapid growth in scientific data and a widening gap between computational...
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A decoupled form of the structurepreserving doubling algorithm with lowrank structures
The structurepreserving doubling algorithm (SDA) is a fairly efficient ...
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Convergence Analysis of Extended LOBPCG for Computing Extreme Eigenvalues
This paper is concerned with the convergence analysis of an extended var...
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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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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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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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DockerEnabled Build and Execution Environment (BEE): an Encapsulated Environment Enabling HPC Applications Running Everywhere
Variations in High Performance Computing (HPC) system software configura...
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Xin Liang
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