Kilo-Instruction Processors: Overcoming the Memory Wall-Reference-Cited by-同舟云学术

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Kilo-Instruction Processors: Overcoming the Memory Wall

Published:2005-05 Issue:3 Volume:25 Page:48-57
ISSN:0272-1732
Container-title:IEEE Micro
language:en
Short-container-title:IEEE Micro

Author:

Cristal A.,Santana O.J.,Cazorla F.,Galluzzi M.,Ramirez T.,Pericas M.,Valero M.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Hardware and Architecture,Software

Link

http://xplorestaging.ieee.org/ielx5/40/31458/01463185.pdf?arnumber=1463185

Cited by 27 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. A Hybrid Weight Quantization Strategy for Memristive Neural Networks;Neurocomputing;2023-12

2. Low-Frequency Noise-Based Mechanism Analysis of Endurance Degradation in Al/αTiOx/Al Resistive Random Access Memory Devices;Materials;2023-03-14

3. QuantBayes: Weight Optimization for Memristive Neural Networks via Quantization-Aware Bayesian Inference;IEEE Transactions on Circuits and Systems I: Regular Papers;2021-12

4. Energy-Efficient Shared Cache Using Way Prediction Based on Way Access Dominance Detection;IEEE Access;2021

5. OverCome: Coarse-Grained Instruction Commit with Handover Register Renaming;IEEE Transactions on Computers;2019-12-01

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