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Inline Vector Compression for Computational Physics [PDF]
Computer Physics Communications, 2020 A novel inline data compression method is presented for single-precision vectors in three dimensions. The primary application of the method is for accelerating computational physics calculations where the throughput is bound by memory bandwidth.
Will Trojak, Freddie Witherden
semanticscholar +9 more sources
Polynomial data compression for large-scale physics experiments [PDF]
Computing and Software for Big Science, 2018 The new generation research experiments will introduce huge data surge to a continuously increasing data production by current experiments. This data surge necessitates efficient compression techniques. These compression techniques must guarantee an optimum tradeoff between compression rate and the corresponding compression /decompression speed ratio ...
Pierre Aubert +5 more
semanticscholar +11 more sources
Extreme data compression while searching for new physics [PDF]
Monthly Notices of the Royal Astronomical Society, 2020 ABSTRACT Bringing a high-dimensional data set into science-ready shape is a formidable challenge that often necessitates data compression. Compression has accordingly become a key consideration for contemporary cosmology, affecting public data releases, and reanalyses searching for new physics.
Alan Heavens +2 more
semanticscholar +8 more sources
Physics-Enhanced PCA for Data Compression in Edge Devices [PDF]
IEEE Transactions on Green Communications and Networking, 2022 In smart cities, tremendous data are generated with edge devices continuously for scientific applications, such as structural health monitoring (SHM), leading to a high bandwidth burden to edge devices.
Qianyi Chen, Jiannong Cao, Yong Xia
openalex +2 more sources
A Physics-Informed Vector Quantized Autoencoder for Data Compression of Turbulent Flow [PDF]
Data Compression Conference, 2022 Analyzing large-scale data from simulations of turbulent flows is memory intensive, requiring significant resources. This major challenge highlights the need for data compression techniques.
Mohammadreza Momenifar +3 more
semanticscholar +5 more sources
UltraCompression: Framework for High Density Compression of Ultrasound Volumes using Physics Modeling Deep Neural Networks [PDF]
IEEE International Symposium on Biomedical Imaging, 2019 Ultrasound image compression by preserving speckle-based key information is a challenging task. In this paper, we introduce an ultrasound image compression framework with the ability to retain realism of speckle appearance despite achieving very high ...
Debarghya China +6 more
semanticscholar +5 more sources
Peak Compression Force Physics in Rugby Union Scrum [PDF]
Proceedings, 2020 Scrums play a major role in Rugby Union games, and are historically known as a showdown between the two packs of opposing teams, composed of their eight forwards players organized in a 3-4-1 configuration, respectively.
Benjamin Lallemand +7 more
doaj +2 more sources
Machine-Learning Compression for Particle Physics Discoveries [PDF]
arXiv.org, 2022 In collider-based particle and nuclear physics experiments, data are produced at such extreme rates that only a subset can be recorded for later analysis.
Jack H. Collins +4 more
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High-energy few-cycle pulses: post-compression techniques
Advances in Physics: X, 2021 Contemporary ultrafast science requires reliable sources of high-energy few-cycle light pulses. Currently two methods are capable of generating such pulses: post compression of short laser pulses and optical parametric chirped-pulse amplification (OPCPA).
Tamas Nagy, Peter Simon, Laszlo Veisz
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Optimizing ATLAS data storage: The impact of compression algorithms on ATLAS physics analysis data formats [PDF]
EPJ Web of ConferencesThe increased footprint foreseen for Run-3 and HL-LHC data will soon expose the limits of currently available storage and CPU resources. Data formats are already optimized according to the processing chain for which they are designed.
Marcon Caterina +3 more
doaj +2 more sources