Lossy checkpoint compression in full waveform inversion: a case study with ZFPv0.5.5 and the overthrust model [PDF]
Geoscientific Model Development, 2022 This paper proposes a new method that combines checkpointing methods with error-controlled lossy compression for large-scale high-performance full-waveform inversion (FWI), an inverse problem commonly used in geophysical exploration. This combination can
N. Kukreja +5 more
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Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs [PDF]
IEEE International Conference on Cluster Computing, 2021 Error-bounded lossy compression is a critical technique for significantly reducing scientific data volumes. With ever-emerging heterogeneous high-performance computing (HPC) architecture, GPU-accelerated error-bounded compressors (such as CUSZ and cuZFP)
Jiannan Tian +9 more
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Accuracy analysis of lossless and lossy disparity map compression
Ain Shams Engineering Journal, 2022 In this paper, we analysed lossless and lossy compression of disparity (depth) images with low range resolution. For that goal, the well-known publicly available Middlebury dataset is used with stereo image pairs, their disparity ground truths and ...
Saad Merrouche +3 more
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A New MRF-Based Lossy Compression for Encrypted Binary Images
IEEE Access, 2020 Although there exist many researches on the compression of original non-encrypted binary images, few approaches focus on the compression of encrypted binary images.
Chuntao Wang +3 more
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Improving Prediction-Based Lossy Compression Dramatically via Ratio-Quality Modeling [PDF]
IEEE International Conference on Data Engineering, 2021 Error-bounded lossy compression is one of the most effective techniques for reducing scientific data sizes. However, the traditional trial-and-error approach used to configure lossy compressors for finding the optimal trade-off between reconstructed data
Sian Jin +4 more
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CEAZ: accelerating parallel I/O via hardware-algorithm co-designed adaptive lossy compression [PDF]
International Conference on Supercomputing, 2021 As HPC systems continue to grow to exascale, the amount of data that needs to be saved or transmitted is exploding. To this end, many previous works have studied using error-bounded lossy compressors to reduce the data size and improve the I/O ...
Chengming Zhang +5 more
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A note on precision-preserving compression of scientific data [PDF]
Geoscientific Model Development, 2021 Lossy compression of scientific data arrays is a powerful tool to save network bandwidth and storage space. Properly applied lossy compression can reduce the size of a dataset by orders of magnitude while keeping all essential information, whereas a ...
R. Kouznetsov, R. Kouznetsov
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A survey on GAN acceleration using memory compression techniques
Journal of Engineering and Applied Science, 2021 Since its invention, generative adversarial networks (GANs) have shown outstanding results in many applications. GANs are powerful, yet resource-hungry deep learning models. The main difference between GANs and ordinary deep learning models is the nature
Dina Tantawy, Mohamed Zahran, Amr Wassal
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A New Perspective on Improving the Lossless Compression Efficiency for Initially Acquired Images
IEEE Access, 2019 A new lossless compression scheme of compressing the initially-acquired continuous-intensity images with a lossy compression algorithm to obtain higher compression efficiency is proposed. Even if a lossy algorithm is employed, for decoded original images,
Jianyu Lin
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Development of compression algorithms for hyperspectral aerospace images based on discrete orthogonal transformations [PDF]
E3S Web of Conferences, 2021 The paper describes the development of compression algorithms for hyperspectral aerospace images based on discrete orthogonal transformations for the purpose of subsequent compression in Earth remote sensing systems.
Sarinova Assiya
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