Memory Centric Computing - Sonova Workshop, 24.10.2022
•February 13, 2026
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Why It Matters
Resolving the data-movement bottleneck could dramatically cut latency and energy costs for AI and bioinformatics, enabling real-time medical decisions and more efficient large-scale analytics. That shift creates opportunity and urgency for firms investing in memory-centric architectures and hardware–software co-design.
Summary
In a workshop on memory-centric computing, the speaker argued that modern computing is bottlenecked by data movement rather than raw compute, urging co-design of hardware and software to keep memory and compute tightly coupled. He highlighted neural networks and genome sequencing as emblematic workloads where data volumes and memory demands outpace current architectures, noting experimental approaches such as wafer-scale chips that colocate large on-chip SRAM with compute. The talk emphasized the proliferation of cheap, high-throughput data generators (e.g., nanopore sequencers) that shift the burden to general-purpose analyzers and create costly macro- and micro-scale data movement. The speaker called for new, energy-efficient architectures and application-specific hardware to enable real-time analytics for critical uses like clinical genomics.
Original Description
Title: Memory Centric Computing - Sonova Workshop
Speaker: Professor Onur Mutlu (https://people.inf.ethz.ch/omutlu/)
Date: October 24, 2022
Slides (pptx): https://people.inf.ethz.ch/omutlu/pub/onur-Sonova-Workshop-MemoryCentricComputing-October-24-2022.pptx
Slides (pdf): https://people.inf.ethz.ch/omutlu/pub/onur-Sonova-Workshop-MemoryCentricComputing-October-24-2022.pdf
Recommended Reading:
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A Modern Primer on Processing in Memory
Intelligent Architectures for Intelligent Computing Systems
RowHammer: A Retrospective
Fundamentally Understanding and Solving RowHammer
RECOMMENDED LECTURE VIDEOS & PLAYLISTS:
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Computer Architecture Fall 2021 Lectures Playlist:
Digital Design and Computer Architecture Spring 2021 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 :
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