research
∙
05/11/2023
Big-PERCIVAL: Exploring the Native Use of 64-Bit Posit Arithmetic in Scientific Computing
The accuracy requirements in many scientific computing workloads result ...
share
research
∙
06/26/2022
CTMQ: Cyclic Training of Convolutional Neural Networks with Multiple Quantization Steps
This paper proposes a training method having multiple cyclic training fo...
research
∙
11/30/2021
PERCIVAL: Open-Source Posit RISC-V Core with Quire Capability
The posit representation for real numbers is an alternative to the ubiqu...
research
∙
02/18/2021
PLAM: a Posit Logarithm-Approximate Multiplier for Power Efficient Posit-based DNNs
The Posit Number System was introduced in 2017 as a replacement for floa...
research
∙
07/20/2020
Effects of Approximate Multiplication on Convolutional Neural Networks
This paper analyzes the effects of approximate multiplication when perfo...
research
∙
07/09/2019
