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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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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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04/14/2023
HEAT: A Highly Efficient and Affordable Training System for Collaborative Filtering Based Recommendation on CPUs
Collaborative filtering (CF) has been proven to be one of the most effec...
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01/05/2023
TAC+: Drastically Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations
Today's scientific simulations require a significant reduction of data v...
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11/01/2022
SOLAR: A Highly Optimized Data Loading Framework for Distributed Training of CNN-based Scientific Surrogates
CNN-based surrogates have become prevalent in scientific applications to...
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08/01/2022
HBMax: Optimizing Memory Efficiency for Parallel Influence Maximization on Multicore Architectures
Influence maximization aims to select k most-influential vertices or see...
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06/28/2022
H-GCN: A Graph Convolutional Network Accelerator on Versal ACAP Architecture
Graph Neural Networks (GNNs) have drawn tremendous attention due to thei...
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04/01/2022
TAC: Optimizing Error-Bounded Lossy Compression for Three-Dimensional Adaptive Mesh Refinement Simulations
Today's scientific simulations require a significant reduction of data v...
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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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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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06/24/2021
CEAZ: Accelerating Parallel I/O via Hardware-Algorithm Co-Design of Efficient and Adaptive Lossy Compression
As supercomputers continue to grow to exascale, the amount of data that ...
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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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04/01/2021
Adaptive Configuration of In Situ Lossy Compression for Cosmology Simulations via Fine-Grained Rate-Quality Modeling
Extreme-scale cosmological simulations have been widely used by today's ...
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10/24/2020
LCFI: A Fault Injection Tool for Studying Lossy Compression Error Propagation in HPC Programs
Error-bounded lossy compression is becoming more and more important to t...
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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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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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04/01/2020
Understanding GPU-Based Lossy Compression for Extreme-Scale Cosmological Simulations
To help understand our universe better, researchers and scientists curre...
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01/26/2019