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Published in 2017 at "Advances in experimental medicine and biology"
DOI: 10.1007/978-3-319-55231-6_26
Abstract: The accuracy of images obtained by Diffuse Optical Tomography (DOT) could be substantially increased by the newly developed time resolved (TR) cameras. These devices result in unprecedented data volumes, which present a challenge to conventional…
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Keywords:
optical tomography;
graphics processing;
processing units;
new method ... See more keywords
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Published in 2018 at "Theory and Practice of Logic Programming"
DOI: 10.1017/s1471068418000170
Abstract: Abstract Conventional processor architectures are restricted in exploiting instruction level parallelism (ILP) due to the relatively low number of programmer-visible registers. Therefore, more recent processor architectures expose their datapaths so that the compiler (1) can…
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Keywords:
processing units;
answer set;
exposed datapath;
optimal scheduling ... See more keywords
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2
Published in 2023 at "Journal of chemical theory and computation"
DOI: 10.1021/acs.jctc.2c00983
Abstract: Single precision (SP) arithmetic can be greatly accelerated as compared to double precision (DP) arithmetic on graphics processing units (GPUs). However, the use of SP in the whole process of electronic structure calculations is inappropriate…
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Keywords:
structure;
electronic structure;
graphics processing;
approach ... See more keywords
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Published in 2024 at "Journal of chemical theory and computation"
DOI: 10.1021/acs.jctc.4c01058
Abstract: We present enhancements in Monte Carlo simulation speed and functionality within an open-source code, gRASPA, which uses graphical processing units (GPUs) to achieve significant performance improvements compared to serial, CPU implementations of Monte Carlo. The…
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Keywords:
monte;
adsorption;
processing units;
graphical processing ... See more keywords
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Published in 2024 at "Geophysical Journal International"
DOI: 10.1093/gji/ggae152
Abstract: Understanding the underlying mechanisms of seismic attenuation and moduli dispersion in fluid-saturated cracked porous rocks is of great importance for the development of non-invasive methods to characterize the subsurface. Wave-induced fluid flow at the pore…
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Keywords:
squirt flow;
processing units;
graphical processing;
attenuation ... See more keywords
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Published in 2024 at "Neuroscience of Consciousness"
DOI: 10.1093/nc/niae037
Abstract: Abstract We apply the methodology of no-go theorems as developed in physics to the question of artificial consciousness. The result is a no-go theorem which shows that under a general assumption, called dynamical relevance, Artificial…
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Keywords:
neurons theorem;
case neurons;
processing units;
consciousness chip ... See more keywords
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1
Published in 2022 at "IEEE Micro"
DOI: 10.1109/mm.2021.3139027
Abstract: The deep learning (DL) training process consists of multiple phases—data augmentation, training, and validation of the trained model. Traditionally, these phases are executed either on the central processing units or graphics processing units in a…
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Keywords:
training;
bluefield dpus;
distributed dnn;
optimizing distributed ... See more keywords
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Published in 2025 at "IEEE Micro"
DOI: 10.1109/mm.2025.3574630
Abstract: Cloud platforms have deployed hardware accelerators like neural processing units (NPUs) for machine learning (ML) inference services. To maximize resource utilization while ensuring quality of service, a natural approach is to virtualize NPUs for efficient…
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Keywords:
cloud platforms;
virtualization;
neural processing;
processing units ... See more keywords
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1
Published in 2022 at "Annual review of physical chemistry"
DOI: 10.1146/annurev-physchem-061020-053438
Abstract: Modern quantum chemistry algorithms are increasingly able to accurately predict molecular properties that are useful for chemists in research and education. Despite this progress, performing such calculations is currently unattainable to the wider chemistry community,…
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Keywords:
quantum chemistry;
interactive quantum;
chemistry;
graphical processing ... See more keywords
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Published in 2025 at "Indonesian Journal of Electrical Engineering and Computer Science"
DOI: 10.11591/ijeecs.v38.i2.pp1324-1330
Abstract: In the rapidly evolving field of deep learning, the computational demands for training sophisticated models have escalated, prompting a shift towards specialized hardware accelerators such as graphics processing units (GPUs), tensor processing units (TPUs), data…
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Keywords:
deep learning;
processing units;
python;
comparative analysis ... See more keywords
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Published in 2018 at "Advances in Mechanical Engineering"
DOI: 10.1177/1687814018804719
Abstract: The advancement of modern processors with many-core and large-cache may have little computational advantages if only serial computing is employed. In this study, several parallel computing approaches, using devices with multiple or many processor cores,…
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Keywords:
graphics processing;
fluid film;
processing units;
film lubrication ... See more keywords