Computer Architecture - Lecture 23: Cutting-Edge Research in Computer Architecture (Fall 2022)

Date: December 15, 2022

Lecture 23a: Google Neural Network Models for Edge Devices: Analyzing and Mitigating Machine Learning Inference Bottlenecks

Lecture 23b: Polynesia: Enabling High-Performance and Energy-Efficient Hybrid Transactional/Analytical Databases with Hardware/Software Co-Design

Lecture 23c: DR-STRaNGe: End-to-End System Design for DRAM-based True Random Number Generators

Lecture 23d: Understanding RowHammer Under Reduced Wordline Voltage: An Experimental Study Using Real DRAM Devices

Recommended Reading:
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Intelligent Architectures for Intelligent Computing Systems

A Modern Primer on Processing in Memory

RowHammer: A Retrospective

RECOMMENDED LECTURE VIDEOS & PLAYLISTS:
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Computer Architecture Fall 2021 Lectures Playlist:

Digital Design and Computer Architecture Spring 2022 Livestream Lectures Playlist:

Featured Lectures:

Interview with Professor Onur Mutlu:

The Story of RowHammer Lecture:

Accelerating Genome Analysis Lecture:

Memory-Centric Computing Systems Tutorial at IEDM 2021:

Intelligent Architectures for Intelligent Machines Lecture:

Computer Architecture Fall 2020 Lectures Playlist:

Digital Design and Computer Architecture Spring 2020 Lectures Playlist:

Public Lectures by Onur Mutlu, Playlist:

Computer Architecture at Carnegie Mellon Spring 2015 Lectures Playlist:

Rethinking Memory System Design Lecture @stanfordonline :

[dadaa]

for the first mensa framwork, the trend now is to use large pre-trained Transformer model, also Multimodal, ViT and so on. is it possible to also have a universal accelerator for the multi head attention with Res-net? so that we can deal with the some of the Cv and NLP together