Comparison of Floating-point Representations for the Efficient Implementation of Machine Learning Algorithms-Reference-Cited by-同舟云学术

Comparison of Floating-point Representations for the Efficient Implementation of Machine Learning Algorithms

Published:2022-04-21 Issue: Volume: Page:
ISSN:
Container-title:2022 32nd International Conference Radioelektronika (RADIOELEKTRONIKA)
language:
Short-container-title:

Author:

Mishra Saras Mani¹,Tiwari Ankita¹,Shekhawat Hanumant Singh¹,Guha Prithwijit¹,Trivedi Gaurav¹,Jan Pidanic²,Nemec Zdenek²

Affiliation:

1. Indian Institute of Technology Guwahati,Department of Electronics and Electrical Engineering,Guwahati,India

2. University of Pardubice,Department of Electrical Engineering,Pardubice,Czech Republic

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9764897/9764898/09764927.pdf?arnumber=9764927

Reference21 articles.

1. Evaluating the Hardware Cost of the Posit Number System

2. Implementation of Low Power and Area Efficient Floating-Point Fused Multiply-Add Unit

3. N-Bit Unsigned Division via N-Bit Multiply-Add

4. Implementation of single precision floating point square root on FPGAs;li;Proceedings The 5th Annual IEEE Symposium on Field-Programmable Custom Computing Machines Cat No 97TB100186),1997

5. A new non-restoring square root algorithm and its VLSI implementations;li;Proceedings International Conference on Computer Design VLSI in Computers and Processors,1996

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Posit and floating-point based Izhikevich neuron: A Comparison of arithmetic;Neurocomputing;2024-09

2. Exploring Hardware Fault Impacts on Different Real Number Representations of the Structural Resilience of TCUs in GPUs;Electronics;2024-01-31

3. A Review of Posit Arithmetic for Energy-Efficient Computation: Methodologies, Applications, and Challenges;Design and Applications of Emerging Computer Systems;2023-08-17

4. Efficient ASIC Implementation of Artificial Neural Network with Posit Representation of Floating-Point Numbers;Lecture Notes in Networks and Systems;2023

5. A Hybrid Opto-Electrical Floating-point Multiplier;2022 IEEE 15th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC);2022-12