Close
 

Organization

University of California, San Diego
Presenters
Byung Hoon Ahn
Rishikanth Chandrasekaran
Chung-Kuan Cheng
Albert Chern
Kazim Ergun
Hadi Esmaeilzadeh
Sicun (Sean) Gao
Chester Holtz
Andrew Kahng
Andrew Kahng
Jaeyoung Kang
Ryan Kastner
Behnam Khaleghi
Sean Kinzer
Jihyun Lee
Aoxi LI
Bill Lin
Uday Mallappa
Andres Meza
Justin Morris
Dhanush Nanjunda
Tajana Rosing
Debashis Sahoo
Monil Shah
Yucheng Wang
Hanyang Xu
Weihong Xu
Haichao Yang
Session Chairs
Chung-Kuan Cheng
Mingu Kang
Farinaz Koushanfar
Presentations
Research Manuscript
A Near-Storage Framework for Boosted Data Preprocessing of Mass Spectrum Clustering
Design
SoC, Heterogeneous, and Reconfigurable Architectures
Networking Reception
Work-in-Progress Poster
Aging-aware memristor for reliable and energy-efficient Deep Learning Acceleration
Special Session (Research)
Automating Hardware Security Property Generation
Security
Research Manuscript
FHDnn: Communication Efficient and Robust Federated Learning for AIoT Networks
AI
AI/ML Security/Privacy
ML Algorithms and Applications
Research Manuscript
GENERIC: Highly Efficient Learning Engine on Edge using Hyperdimensional Computing
Design
Emerging Models of Computation
Research Manuscript
Glimpse: Mathematical Embeddings of Hardware Specification for Neural Compilation*
Design
AI/ML Design: System and Platform
Research Panel
Machine Learning for Electronic Design Automation: Irrational Exuberance or the Dawn of a Golden age
AI
EDA
Research Manuscript
PatterNet: Explore and Exploit Filter Patterns for Efficient Deep Neural Networks
Design
AI/ML Design: Circuits and Architecture
Late Breaking Results Poster
Networking Reception
Placement Initialization via a Projected Eigenvector Algorithm
Special Session (Research)
Shared Foundations for ML and EDA in the TILOS AI Institute
AI
EDA
Research Panel
What is the Future for Open-Source EDA?
EDA
Sessions
Research Manuscript
New Normal for In-Memory Computing: Novel Circuits and Systems
Design
In-memory and Near-memory Computing
Research Manuscript
Preventing Brain Drain: How to Secure Next Generation AI
AI
AI/ML Security/Privacy
Research Manuscript
Novel approaches for scaling routing and DFM challenges
EDA
Physical Design and Verification, Lithography and DFM