Towards Efficient SOT-assisted STT-MRAM Cell Switching using Reinforcement Learning

Talk (with paper)

• Category: Abstract book contribution
• Title: Towards Efficient SOT-assisted STT-MRAM Cell Switching using Reinforcement Learning
• Authors:
  • Ender, Johannes (m, E360)
  • Orio, Roberto (m, E360)
  • Selberherr, Siegfried (m, E360)
  • Goes, Wolfgang(m, external)
  • Sverdlov, Viktor (m, E360)
• Presenters:
  • Ender, Johannes (m, E360)
• Conference: 14th International Conference on Large-Scale Scientific Computations
• Proceedings Title: LARGE-SCALE SCIENTIFIC COMPUTATIONS - LSSC’23
• Proceedings Link: http://parallel.bas.bg/~elilkova/lssc23.pdf
• Conference City: Sozopol
• Conference Country: Bulgaria
• Conference Dates: 05/06/2023 - 09/06/2023
• Conference Format: On-site
• Conference Website: https://parallel.bas.bg/Conferences/SciCom23/
• Start Page: 39
• End Page: 39
• Number of pages: 1
• ISBN:
• DOI:
• Language: English
• Keywords: SOT-assisted STT-MRAM, Reinforcement learning, energy-efficiency
• Open access: no
• Research projects (Name of related research projects including + funding IDs):
  • Christian Doppler Laboratory for Nonvolatile Magnetoresistive Memory and Logic
• TU Wien Core facilities: None
• Research areas -- Focal Areas and Fields: (pick from TU Wien Research Matrix's subcategories and assign a percentage share; in total it should add up to 100%.):
  • Modeling and Simulation (100%)
• Invited: no
• Reviewed: no
• File attachments:
  • Paper as PDF: Abstract PDF
  • Proof of review as PDF: LSSC_Abstract_Acceptance.pdf