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Exploiting the Logic-In-Memory paradigm for speeding-up data-intensive algorithms

  • Published:2019-05 Issue: Volume:66 Page:153-163
  • ISSN:0167-9260
  • Container-title:Integration
  • language:en
  • Short-container-title:Integration

Author:

Cofano Mario,Vacca Marco,Santoro Giulia,Causapruno Giovanni,Turvani Giovanna,Graziano Mariagrazia

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Hardware and Architecture,Software

Reference44 articles.

1. The computer as Von Neumann planned it;Godfrey;IEEE Ann. Hist. Comput.,1993

2. Why is CMOS scaling coming to an END?;Haron,2008

3. EDA challenges in nano-scale technology;Kawa,2006

4. Fundamental limits of caching;Maddah-Ali;IEEE Trans. Inf. Theory,2014

5. The architecture of the DIVA processing-in-memory chip;Draper,2002

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1. SpinCIM: spin orbit torque memory for ternary neural networks based on the computing-in-memory architecture;CCF Transactions on High Performance Computing;2022-06-24

2. Octantis: An Exploration Tool for Beyond von Neumann architectures;2021 16th International Conference on Design & Technology of Integrated Systems in Nanoscale Era (DTIS);2021-06-28

3. SpinLiM: Spin Orbit Torque Memory for Ternary Neural Networks Based on the Logic-in-Memory Architecture;2021 Design, Automation & Test in Europe Conference & Exhibition (DATE);2021-02-01

4. An Ultra-Area-Efficient 1024-Point In-Memory FFT Processor;Micromachines;2019-07-31

5. New Logic-In-Memory Paradigms: An Architectural and Technological Perspective;Micromachines;2019-05-31
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