Optimized FPGA Architecture for Machine Learning Applications using Posit Multipliers
Author:
Affiliation:
1. Ain Shams University,Computer and Systems Eng. Dept.,Cairo,Egypt
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10005313/10005321/10005431.pdf?arnumber=10005431
Reference24 articles.
1. Beating floating point at its own game: Posit arithmetic;gustafson;Supercomputing Frontiers and Innovations,2017
2. Reconfigurable acceleration for Monte Carlo based financial simulation
3. Revisiting ”what every computer scientist should know about floating-point arithmetic;lafage,2020
4. FPGA-based Monte Carlo Computation of Light Absorption for Photodynamic Cancer Therapy
5. The effect of LUT and cluster size on deep-submicron FPGA performance and density
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