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Half-precision floating-point format

Known as: Float16, Half-float, Half-precision 
In computing, half precision is a binary floating-point computer number format that occupies 16 bits (two bytes in modern computers) in computer… Expand
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2018
Highly Cited
2018
Deep neural networks have enabled progress in a wide variety of applications. Growing the size of the neural network typically… Expand
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Highly Cited
2018
Highly Cited
2018
We extract pixel-level masks of extreme weather patterns using variants of Tiramisu and DeepLabv3+ neural networks. We describe… Expand
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Highly Cited
2018
Highly Cited
2018
Over the past few years batch-normalization has been commonly used in deep networks, allowing faster training and high… Expand
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2017
2017
With NVIDA Tegra Jetson X1 and Pascal P100 GPUs, NVIDIA introduced hardware-based computation on FP16 numbers also called half… Expand
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Highly Cited
2017
Highly Cited
2017
Deep Neural Networks (DNNs) have demonstrated state-of-the-art performance on a broad range of tasks involving natural language… Expand
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2014
2014
The gap between the cost of moving data and the cost of computing continues to grow, making it ever harder to design iterative… Expand
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Highly Cited
2010
Highly Cited
2010
Abstract Modern graphics hardware is designed for highly parallel numerical tasks and promises significant cost and performance… Expand
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2010
2010
Type IIB superstring theory has AdS3 × S3 × M4 (where the manifold M4 is either K3 or T4) solutions which preserve sixteen… Expand
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2009
2009
We are developing a large-scale reconfigurable data-path (LSRDP) based on single-flux-quantum (SFQ) circuits to establish a… Expand
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Highly Cited
2008
Highly Cited
2008
We generalize the half-BPS Janus configuration of four-dimensional $ \mathcal{N} = 4 $ super Yang-Mills theory to allow the theta… Expand
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