Projects & Seminars, ETH Zürich, Spring 2023
Data-Centric Architectures: Fundamentally Improving Performance and Energy
([ Ссылка ])
Lecture 11: Sparse Matrix Vector Multiplication (SpMV) on a Real Processing-in-Memory Architecture
Lecturer: Dr. Juan Gómez Luna ([ Ссылка ])
Lecturer: Professor Onur Mutlu ([ Ссылка ])
Date: May 18, 2023
Lecture 11 Slides (pptx): [ Ссылка ]
Lecture 11 Slides (pdf): [ Ссылка ]
Recommended Readings:
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A Modern Primer on Processing in Memory
[ Ссылка ]
Processing Data Where It Makes Sense: Enabling In-Memory Computation
[ Ссылка ]
Processing-in-Memory: A Workload-Driven Perspective
[ Ссылка ]
Benchmarking a New Paradigm: An Experimental Analysis of a Real Processing-in-Memory Architecture
[ Ссылка ]
Benchmarking Memory-Centric Computing Systems: Analysis of Real Processing-in-Memory Hardware
[ Ссылка ]
SIMDRAM: An End-to-End Framework for Bit-Serial SIMD Computing in DRAM
[ Ссылка ]
DAMOV: A New Methodology and Benchmark Suite for Evaluating Data Movement Bottlenecks
[ Ссылка ]
Intelligent Architectures for Intelligent Computing Systems
[ Ссылка ]
RowHammer: A Retrospective
[ Ссылка ]
RECOMMENDED LECTURE VIDEOS & PLAYLISTS:
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P&S Data-Centric Architectures: Fundamentally Improving Performance and Energy (Fall 2022)
[ Ссылка ]
P&S Programming Heterogeneous Computing Systems with GPUs and other Accelerators (Fall 2022)
[ Ссылка ]
Computer Architecture Fall 2022 Lectures Playlist:
[ Ссылка ]
Digital Design and Computer Architecture Spring 2022 Livestream Lectures Playlist:
[ Ссылка ]
Featured Lectures:
[ Ссылка ]
Interview with Professor Onur Mutlu:
[ Ссылка ]
The Story of RowHammer Lecture:
[ Ссылка ]
Accelerating Genome Analysis Lecture:
[ Ссылка ]
Memory-Centric Computing Systems Tutorial at IEDM 2021:
[ Ссылка ]
Intelligent Architectures for Intelligent Machines Lecture:
[ Ссылка ]
