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Lecture Video Playlist on YouTube

Spring 2021 Lectures/Schedule

Week Date Livestream Lecture Readings Assignments
W1 25.02
Thu.
Live
L1a: Introduction and Basics
(PDF) (PPT)
Suggested
Optional Lecture: Design Fundamentals
(PDF) (PPT)
L1b: Course Logistics
(PDF) (PPT)
Suggested
W2 04.03
Thu.
Live
L2: Example Review: RowClone
(PDF) (PPT)
Suggested
W3 11.03
Thu.
Live
L3: Example Review: Memory Channel Partitioning
(PDF) (PPT)
Suggested
W4 18.03
Thu.
Live
L4: Example Review: GateKeeper
(PDF) (PPT)
Suggested
W5 25.03
Thu.
S1.1:Spectre Attacks: Exploiting Speculative Execution, S&P 2019
(PPT) (PDF)
Mentioned
Premiere
S1.2:BlockHammer: Preventing RowHammer at Low Cost by Blacklisting Rapidly-Accessed DRAM Rows, HPCA 2021
(PPT) (PDF)
W6 01.04
Thu.
S2.1:D-RaNGe: Using Commodity DRAM Devices to Generate True Random Numbers with Low Latency and High Throughput, HPCA 2019
(PPT) (PDF)
Live
S2.2: ComputeDRAM: In-Memory Compute Using Off-the-Shelf DRAMs, MICRO 2019
(PPT) (PDF)
Mentioned
W7 15.04
Thu.
S3.1: PIM-Enabled Instructions: A Low-Overhead, Locality-Aware Processing-in-Memory Architecture, ISCA, 2015.
(PPT) (PDF)
Mentioned
W8 22.04
Thu.
S4.1:A Case for Bufferless Routing in On-Chip Networks, ISCA 2009.
(PDF)
Mentioned
S4.2: Prodigy:​ Improving the Memory Latency of Data-Indirect Irregular Workloads Using Hardware-Software Co-Design, HPCA 2021
(PPT) (PDF)
Mentioned
W9 29.04
Thu.
S5.1:Dynamic branch prediction with perceptrons, HPCA 2001.
(PPT) (PDF)
Mentioned
S5.2: Self-Optimizing Memory Controllers: A Reinforcement Learning Approach, ISCA 2008.
(PPT) (PDF)
Mentioned
W10 06.05
Thu.
Live
S6.1: Deep Compression: Compressing Deep Neural Network with Pruning, Trained Quantization and Huffman Coding, ArXiv 2016.
(PPT) (PDF)
schedule.1620241525.txt.gz · Last modified: 2021/05/05 19:05 by firtinac