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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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08/09/2023
gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters
GPU-aware collective communication has become a major bottleneck for mod...
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07/13/2023
AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications
As supercomputers advance towards exascale capabilities, computational i...
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07/11/2023
Optimizing Scientific Data Transfer on Globus with Error-bounded Lossy Compression
The increasing volume and velocity of science data necessitate the frequ...
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05/15/2023
Black-Box Statistical Prediction of Lossy Compression Ratios for Scientific Data
Lossy compressors are increasingly adopted in scientific research, tackl...
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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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04/14/2023
GPULZ: Optimizing LZSS Lossless Compression for Multi-byte Data on Modern GPUs
Today's graphics processing unit (GPU) applications produce vast volumes...
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04/08/2023
C-Coll: Introducing Error-bounded Lossy Compression into MPI Collectives
With the ever-increasing computing power of supercomputers and the growi...
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06/29/2022
Accelerating Parallel Write via Deeply Integrating Predictive Lossy Compression with HDF5
Lossy compression is one of the most efficient solutions to reduce stora...
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06/22/2022
ROIBIN-SZ: Fast and Science-Preserving Compression for Serial Crystallography
Crystallography is the leading technique to study atomic structures of p...
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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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01/22/2022
Optimizing Huffman Decoding for Error-Bounded Lossy Compression on GPUs
More and more HPC applications require fast and effective compression te...
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01/12/2022
SIMD Lossy Compression for Scientific Data
Modern HPC applications produce increasingly large amounts of data, whic...
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12/04/2021
Towards Aggregated Asynchronous Checkpointing
High-Performance Computing (HPC) applications need to checkpoint massive...
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11/27/2021
Exploring Lossy Compressibility through Statistical Correlations of Scientific Datasets
Lossy compression plays a growing role in scientific simulations where t...
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11/18/2021
Improving Prediction-Based Lossy Compression Dramatically Via Ratio-Quality Modeling
Error-bounded lossy compression is one of the most effective techniques ...
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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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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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05/25/2021
Exploring Autoencoder-Based Error-Bounded Compression for Scientific Data
Error-bounded lossy compression is becoming an indispensable technique f...
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03/03/2021
VELOC: VEry Low Overhead Checkpointing in the Age of Exascale
Checkpointing large amounts of related data concurrently to stable stora...
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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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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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10/07/2020
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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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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01/17/2020
FRaZ: A Generic High-Fidelity Fixed-Ratio Lossy Compression Framework for Scientific Floating-point Data
With ever-increasing volumes of scientific floating-point data being pro...
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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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11/14/2018
Memory-Efficient 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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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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11/10/2017
In-Depth Exploration of Single-Snapshot Lossy Compression Techniques for N-Body Simulations
In situ lossy compression allowing user-controlled data loss can signifi...
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06/12/2017