Multi-Objective Neural Architecture Search for In-Memory Computing
In this work, we employ neural architecture search (NAS) to enhance the efficiency of
deploying diverse machine learning (ML) tasks on in-memory computing (IMC) …
deploying diverse machine learning (ML) tasks on in-memory computing (IMC) …
[PDF][PDF] Learning and inference for wireless communications applications using in-memory analog computing
MA Ali - 2024 - repository.bilkent.edu.tr
Muhammad Atif Ali Elektrik ve Elektronik Mühendisligi, Yüksek Lisans Tez Danısmanı: Tolga
Mete Duman Temmuz 2024 Kablosuz iletisim teknolojilerindeki üstel büyüme, merkezi …
Mete Duman Temmuz 2024 Kablosuz iletisim teknolojilerindeki üstel büyüme, merkezi …
XbarSim: A Decomposition-Based Memristive Crossbar Simulator
Given the growing focus on memristive crossbar-based in-memory computing (IMC)
architectures as a potential alternative to current energy-hungry machine learning hardware …
architectures as a potential alternative to current energy-hungry machine learning hardware …
Approximate Computing and In-Memory Computing: The Best of the Two Worlds!
MEF Essa - 2024 - search.proquest.com
Abstract Machine learning (ML) has become ubiquitous, integrating into numerous real-life
applications. However, meeting the computational demands of ML systems is challenging …
applications. However, meeting the computational demands of ML systems is challenging …