b'Xin Liang'

research

∙ 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...

0 Jinyang Liu, et al. ∙

research

∙ 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 ...

0 Boyuan Zhang, et al. ∙

research

∙ 04/23/2023

TopoSZ: Preserving Topology in Error-Bounded Lossy Compression

Existing error-bounded lossy compression techniques control the pointwis...

0 Lin Yan, et al. ∙

research

∙ 03/23/2023

On Generalizing Trace Minimization Principles, II

This paper is concerned with establishing a trace minimization principle...

0 Xin Liang, et al. ∙

research

∙ 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...

0 Jieyang Chen, et al. ∙

research

∙ 09/06/2022

Semi-Supervised Clustering via Dynamic Graph Structure Learning

Most existing semi-supervised graph-based clustering methods exploit the...

0 Huaming Ling, et al. ∙

research

∙ 07/22/2022

Stochastic algebraic Riccati equations are almost as easy as deterministic ones

Stochastic algebraic Riccati equations, a.k.a. rational algebraic Riccat...

0 Zhen-Chen Guo, et al. ∙

research

∙ 04/18/2022

Multi-task Deep Neural Networks for Massive MIMO CSI Feedback

Deep learning has been widely applied for the channel state information ...

0 Boyuan Zhang, et al. ∙

research

∙ 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...

0 Xin Liang, et al. ∙

research

∙ 01/31/2022

SZx: an Ultra-fast Error-bounded Lossy Compressor for Scientific Datasets

Today's scientific high performance computing (HPC) applications or adva...

0 Xiaodong Yu, et al. ∙

research

∙ 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...

0 Zhen-Chen Guo, et al. ∙

research

∙ 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...

0 Xin Liang, et al. ∙

research

∙ 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...

0 Lipeng Wan, et al. ∙

research

∙ 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...

0 Jiannan Tian, et al. ∙

research

∙ 05/26/2021

Scalable Multigrid-based Hierarchical Scientific Data Refactoring on GPUs

Rapid growth in scientific data and a widening gap between computational...

0 Jieyang Chen, et al. ∙

research

∙ 05/25/2021

Exploring Autoencoder-Based Error-Bounded Compression for Scientific Data

Error-bounded lossy compression is becoming an indispensable technique f...

0 Jinyang Liu, et al. ∙

research

∙ 04/01/2021

On Generalizing Trace Minimization

Ky Fan's trace minimization principle is extended along the line of the ...

0 Xin Liang, et al. ∙

research

∙ 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/...

0 Xin Liang, et al. ∙

research

∙ 01/08/2021

SDRBench: Scientific Data Reduction Benchmark for Lossy Compressors

Efficient error-controlled lossy compressors are becoming critical to th...

0 Kai Zhao, et al. ∙

research

∙ 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...

0 Xin Liang, et al. ∙

research

∙ 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, ...

0 Hanqi Guo, et al. ∙

research

∙ 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...

0 Zhen-Chen Guo, et al. ∙

research

∙ 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...

0 Zhen-Chen Guo, et al. ∙

research

∙ 10/20/2020

Revisiting Huffman Coding: Toward Extreme Performance on Modern GPU Architectures

Today's high-performance computing (HPC) applications are producing vast...

0 Jiannan Tian, et al. ∙

research

∙ 10/12/2020

MGARD+: Optimizing Multilevel Methods for Error-bounded Scientific Data Reduction

Data management is becoming increasingly important in dealing with the l...

0 Xin Liang, et al. ∙

research

∙ 10/07/2020

SDC Resilient Error-bounded Lossy Compressor

Lossy compression is one of the most important strategies to resolve the...

0 Sihuan Li, et al. ∙

research

∙ 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...

0 Jiannan Tian, et al. ∙

research

∙ 07/08/2020

Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs

Rapid growth in scientific data and a widening gap between computational...

0 Jieyang Chen, et al. ∙

research

∙ 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 ...

0 Zhen-Chen Guo, et al. ∙

research

∙ 04/29/2020

Convergence Analysis of Extended LOBPCG for Computing Extreme Eigenvalues

This paper is concerned with the convergence analysis of an extended var...

0 Peter Benner, et al. ∙

research

∙ 03/27/2020

Algorithm-Based Fault Tolerance for Convolutional Neural Networks

Convolutional neural networks (CNNs) are becoming more and more importan...

0 Kai Zhao, et al. ∙

research

∙ 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...

0 Sian Jin, et al. ∙

research

∙ 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...

0 DingDingwen Tao, et al. ∙

research

∙ 05/17/2018

Fixed-PSNR Lossy Compression for Scientific Data

Error-controlled lossy compression has been studied for years because of...

0 DingDingwen Tao, et al. ∙

research

∙ 04/30/2018

Improving Performance of Iterative Methods by Lossy Checkponting

Iterative methods are commonly used approaches to solve large, sparse li...

0 DingDingwen Tao, et al. ∙

research

∙ 12/19/2017

Docker-Enabled Build and Execution Environment (BEE): an Encapsulated Environment Enabling HPC Applications Running Everywhere

Variations in High Performance Computing (HPC) system software configura...

0 Jieyang Chen, et al. ∙

Xin Liang

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