Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Analog In-Memory Computing with Multilevel Memristive Devices for High Performance Computing

Open Compute Project via YouTube

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Watch a technical presentation exploring TetraMem's innovative solution to the von Neumann bottleneck through analog in-memory computing with multilevel memristive devices. Learn how pre-trained synaptic weights from cloud-based training are programmed directly into multi-level memristors/RRAMs for edge deployment, with capabilities for scenario-specific post-tuning. Discover the significance of achieving stable 8-bit and higher multi-level conductance in individual memristor devices, including breakthrough 11-bit/cell performance. Explore how these advances enable monolithically integrated semiconductor chips with large crossbar arrays on CMOS circuits, manufactured in commercial foundries for high-performance computing applications. Understand the latest developments in arbitrary precision computing based on analog computing, recently accepted for publication in a major journal.

Syllabus

Analog In-memory computing with multilevel memristive devices for high performance computing

Taught by

Open Compute Project

Reviews

Start your review of Analog In-Memory Computing with Multilevel Memristive Devices for High Performance Computing

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.