Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

ModelKeeper - Accelerating DNN Training via Automated Training Warmup

USENIX via YouTube

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore a 14-minute conference talk from USENIX NSDI '23 that introduces ModelKeeper, an innovative system for accelerating deep neural network (DNN) training. Learn how this automated training warmup approach repurposes previously-trained models in shared clusters to jump-start new training jobs. Discover the key insights behind ModelKeeper, including its ability to identify architectural similarities between models, select suitable parent models, and perform structure-aware weight transformations. Understand how this system can significantly reduce training time across various computer vision and natural language processing models without compromising accuracy. Gain valuable insights into improving efficiency in machine learning workflows, particularly in environments with multiple neural architecture search and training jobs.

Syllabus

NSDI '23 - ModelKeeper: Accelerating DNN Training via Automated Training Warmup

Taught by

USENIX

Reviews

Start your review of ModelKeeper - Accelerating DNN Training via Automated Training Warmup

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.