Abstract: The authors present a mesh systolic array, GCN (giga connection), for a fast simulator of artificial neural networks (ANNs). The processor element ...
The mapping algorithm of the ANN onto the GCN, named Net-Data Partition, is discussed, and the multilayer feedforward network and Kohonen Feature Map are mapped ...
The authors present a mesh systolic array, GCN (giga connection), for a fast simulator of artificial neural networks (ANNs), and the multilayer feedforward ...
In this paper, hybrid neural network processor (HANNP) is designed in VLSI. The HANNP has RISC based architecture leading to an effective general digital ...
Missing: array. | Show results with:array.
May 28, 2006 · The HANNP has RISC based architecture leading to an effective general digital signal processing and artificial neural networks computation. The ...
Missing: array. | Show results with:array.
Implementation of a Neural Network Processor Based on RISC Architecture for Various Signal Processing Applications · 3 Citations · 7 References.
In this paper, we propose an optimized implementation of activation instruction based on RISC-V. Based on the opensource RISC-V processor Hummingbird E203.
Jul 18, 2024 · This study examines the effectiveness of applying RVV to commonly used ANN algorithms. The algorithms were adapted for RISC-V and optimized using RVV after ...
Jun 17, 2021 · In this paper, we present NeuralScale, a RISC-V based neural processor core architecture for AI inference in clouds that prompts programmability ...
Characteristics and implementation results of the designed programmable ANN processor and the dedicated ANN hardware on a Xilinx Artix-7 field-programmable gate ...