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09/12/2022
FP8 Formats for Deep Learning
FP8 is a natural progression for accelerating deep learning training inf...
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08/29/2019
High Performance Scalable FPGA Accelerator for Deep Neural Networks
Low-precision is the first order knob for achieving higher Artificial In...
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05/29/2019
Mixed Precision Training With 8-bit Floating Point
Reduced precision computation for deep neural networks is one of the key...
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05/29/2019
A Study of BFLOAT16 for Deep Learning Training
This paper presents the first comprehensive empirical study demonstratin...
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02/03/2018
Mixed Precision Training of Convolutional Neural Networks using Integer Operations
The state-of-the-art (SOTA) for mixed precision training is dominated by...
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01/24/2018
On Scale-out Deep Learning Training for Cloud and HPC
The exponential growth in use of large deep neural networks has accelera...
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07/15/2017
Ternary Residual Networks
Sub-8-bit representation of DNNs incur some discernible loss of accuracy...
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05/02/2017
Ternary Neural Networks with Fine-Grained Quantization
We propose a novel fine-grained quantization (FGQ) method to ternarize p...
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01/31/2017