Next Generation Arithmetic for Edge Computing - Archive ouverte HAL Access content directly
Conference Papers Year :

Next Generation Arithmetic for Edge Computing

(1) , (1) , (2) , (3) , (4) , (5) , (2) , (6)
1
2
3
4
5
6

Abstract

Arithmetic is a key component and is ubiquitous in today's digital world, ranging from embedded to high-performance computing systems. With machine learning at the fore in a wide range of application domains from wearables to automotive to avionics to weather prediction, sufficiently accurate yet low-cost arithmetic is the need for the day. Recently, there have been several advances in the domain of computer arithmetic, which includes high-precision anchored numbers from ARM, posit arithmetic, bfloat16, etc. as an alternative to IEEE 754-2008 compliant arithmetic. Optimizations on fixed-point and integer arithmetic are also being pursued actively for low-power computing architectures. Furthermore, approximate computing and transprecision/mixed-precision computing have been exciting areas of research forever. While academic research in the domain of computer arithmetic has a long history, industrial adoption of some of these new data types and techniques is in its early stages and expected to increase in the future. bfloat16 is an excellent example for this. In this paper, we bring academia and industry together to discuss the latest results and future directions for research in the domain of next-generation computer arithmetic, especially for edge computing.
Not file

Dates and versions

hal-03114381 , version 1 (18-01-2021)

Identifiers

Cite

Andre Guntoro, Cecilia de La Parra, Farhad Merchant, Florent de Dinechin, John Gustafson, et al.. Next Generation Arithmetic for Edge Computing. DATE 2020 - Design, Automation and Test in Europe Conference, Mar 2020, Grenoble, France. pp.1357-1365, ⟨10.23919/DATE48585.2020.9116196⟩. ⟨hal-03114381⟩
72 View
0 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More