Stanford Engineering
AHA Agile Hardware Project

AHA Retreat - August 2023

Dates and Venue:

August 30 (Wed) - 31 (Thu), 2023                           
Oceano Half Moon Bay Harbor [directions]                           
The Gate House (independent building next to the main hotel)

*NOTE: We recommend bringing additional layers as it can get quite cold in the evening in Half Moon Bay. We plan to have the poster session and reception outdoor.

Agenda:

Wednesday, August 30

*Meeting location: The Gate House (independent building next to the main hotel)

3:00-Hotel check-in starts 
4:00-4:15Welcome / Day 1 IntroductionMark Horowitz
4:15-5:00Keynote Talk 1:                           
From Rocks to Chips: The Transistor at 75		Thomas H. Lee                           
Professor, Electrical Engineering, Stanford
5:00-5:15
Research Overview (1.89 MB)

[video]

Priyanka Raina
5:15-6:00
Lightning Talks (15.58 MB)

[video]

AHA Researchers and Students
6:00-7:00Poster Session (outdoor) - See poster titlesAHA Researchers and Students
7:00-8:30DinnerAll

Thursday, August 31

*Meeting location: The Gate House (independent building next to the main hotel)

8:00-Breakfast 
9:00-9:15
Day 2 Introduction (35.84 KB)
Priyanka Raina
9:15-10:00

Keynote Talk 2: 

Pushing the Limits of Scaling Laws in the Age of Large Language Models (8.67 MB)

[video]

Azalia Mirhoseini                           
Member of Technical Staff, Anthropic                           
Incoming Assistant Professor, Computer Science, Stanford
10:00-10:20 Kalhan Koul                           
PhD Student
10:20-10:50Break (guest room check-out) 
10:50-11:10
Cascade: An Application Pipelining Toolkit for Coarse-Grained Reconfigurable Arrays (1018.55 KB)

[video]

Jackson Melchert                           
PhD Student
11:10-11:30
Efficiently Synthesizing Lowest Cost Rewrite Rules for Instruction Selection (905.56 KB)

[video]

Ross Daly                      
PhD Student
11:30-11:50
Lightweight Online Learning for Bounded Model Checking (4.35 MB)

[video]

Andrew (Haoze) Wu                           
PhD Student
11:50-1:20Lunch 
1:20-2:05

Keynote Talk 3:

Energy Efficiency and AI Hardware (3.53 MB)
Bill Dally                           
Chief Scientist and Senior Vice President of Research, NVIDIA                           
Adjunct Professor of EE and CS, Stanford
2:05-2:25
Sparse PyTorch (18.04 MB)

[video]

Bobby Yan                           
PhD Student
2:25-2:45
Sparse Recurrences and Linear Solvers (3.05 MB)

[video]

Shiv Sundram                           
PhD Student
2:45-3:05
ASPEN: Acceleration of Visual Inertial Odometry for Extended Reality on an FPGA (8.06 MB)

[video]

Kathleen Feng                           
PhD Student
3:05-3:35Break 
3:35-3:55Learnings from Edge AI Chip Designs with Applications in Probabilistic and NLP Inference and TrainingThierry Tambe                           
Research Scientist, NVIDIA                           
Incoming Assistant Professor, Electrical Engineering, Stanford
3:55-4:15
Interupt-Driven Viterbi for High-Speed Links (1.36 MB)

[video]

Zachary Myers                           
PhD Student
4:15-4:35
Avanergy: An Architecture-VLSI Abstraction for Automated Energy-Aware Design-Space Exploration Tools (1.17 MB)

[video]

Christopher Torng                           
Assistant Professor of Electrical and Computer Engineering-Systems                           
University of Southern California
4:35-4:50
Wrap-up Discussion & Closing Thoughts (25.89 KB)

[video]

Priyanka Raina