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09/07/2023
SRN-SZ: Deep Leaning-Based Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks
The fast growth of computational power and scales of modern super-comput...
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04/25/2023
FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs
Today's large-scale scientific applications running on high-performance ...
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04/23/2023
TopoSZ: Preserving Topology in Error-Bounded Lossy Compression
Existing error-bounded lossy compression techniques control the pointwis...
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03/23/2023
On Generalizing Trace Minimization Principles, II
This paper is concerned with establishing a trace minimization principle...
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01/09/2023
Improving Energy Saving of One-sided Matrix Decompositions on CPU-GPU Heterogeneous Systems
One-sided dense matrix decompositions (e.g., Cholesky, LU, and QR) are t...
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09/06/2022
Semi-Supervised Clustering via Dynamic Graph Structure Learning
Most existing semi-supervised graph-based clustering methods exploit the...
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07/22/2022
Stochastic algebraic Riccati equations are almost as easy as deterministic ones
Stochastic algebraic Riccati equations, a.k.a. rational algebraic Riccat...
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04/18/2022
Multi-task Deep Neural Networks for Massive MIMO CSI Feedback
Deep learning has been widely applied for the channel state information ...
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02/28/2022
Changeable Rate and Novel Quantization for CSI Feedback Based on Deep Learning
Deep learning (DL)-based channel state information (CSI) feedback improv...
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01/31/2022
SZx: an Ultra-fast Error-bounded Lossy Compressor for Scientific Datasets
Today's scientific high performance computing (HPC) applications or adva...
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11/25/2021
The intrinsic Toeplitz structure and its applications in algebraic Riccati equations
In this paper we propose a new algorithm for solving large-scale algebra...
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11/04/2021
SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors
Today's scientific simulations require a significant reduction of data v...
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07/15/2021
Improving I/O Performance for Exascale Applications through Online Data Layout Reorganization
The applications being developed within the U.S. Exascale Computing Proj...
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05/27/2021
cuSZ(x): Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs
Error-bounded lossy compression is a critical technique for significantl...
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05/26/2021
Scalable Multigrid-based Hierarchical Scientific Data Refactoring on GPUs
Rapid growth in scientific data and a widening gap between computational...
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05/25/2021
Exploring Autoencoder-Based Error-Bounded Compression for Scientific Data
Error-bounded lossy compression is becoming an indispensable technique f...
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04/01/2021
On Generalizing Trace Minimization
Ky Fan's trace minimization principle is extended along the line of the ...
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03/31/2021
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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01/08/2021
SDRBench: Scientific Data Reduction Benchmark for Lossy Compressors
Efficient error-controlled lossy compressors are becoming critical to th...
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12/01/2020
Bifurcation Analysis of the Eigenstructure of the Discrete Single-curl Operator in Three-dimensional Maxwell's Equations with Pasteur Media
This paper focuses on studying the bifurcation analysis of the eigenstru...
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11/17/2020
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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11/03/2020
Decoupled Structure-Preserving Doubling Algorithm with Truncation for Large-Scale Algebraic Riccati Equations
In Guo et al, arXiv:2005.08288, we propose a decoupled form of the struc...
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11/01/2020
Highly accurate decoupled doubling algorithm for large-scale M-matrix algebraic Riccati equations
We consider the numerical solution of large-scale M-matrix algebraic Ric...
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10/20/2020
Revisiting Huffman Coding: Toward Extreme Performance on Modern GPU Architectures
Today's high-performance computing (HPC) applications are producing vast...
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10/12/2020
MGARD+: Optimizing Multilevel Methods for Error-bounded Scientific Data Reduction
Data management is becoming increasingly important in dealing with the l...
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10/07/2020
SDC Resilient Error-bounded Lossy Compressor
Lossy compression is one of the most important strategies to resolve the...
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07/19/2020
cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data
Error-bounded lossy compression is a state-of-the-art data reduction tec...
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07/08/2020
Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs
Rapid growth in scientific data and a widening gap between computational...
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05/17/2020
A decoupled form of the structure-preserving doubling algorithm with low-rank structures
The structure-preserving doubling algorithm (SDA) is a fairly efficient ...
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04/29/2020
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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03/27/2020
Algorithm-Based Fault Tolerance for Convolutional Neural Networks
Convolutional neural networks (CNNs) are becoming more and more importan...
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01/26/2019
DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression
DNNs have been quickly and broadly exploited to improve the data analysi...
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06/23/2018
Optimizing Lossy Compression Rate-Distortion from Automatic Online Selection between SZ and ZFP
With ever-increasing volumes of scientific data produced by HPC applicat...
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05/17/2018
Fixed-PSNR Lossy Compression for Scientific Data
Error-controlled lossy compression has been studied for years because of...
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04/30/2018
Improving Performance of Iterative Methods by Lossy Checkponting
Iterative methods are commonly used approaches to solve large, sparse li...
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12/19/2017