Jonathan Eyolfson
3 papers · 2021–2023 · 2 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
๐
Conference Polyglot ยท Bronze
๐
Interdisciplinary Bridge ยท Silver
๐
Trend Setter
Top co-authors
Research topics
Keywords
distributed training
(2)
scalable training
(1)
model training
(1)
pipeline parallelism
(1)
data center
(1)
serverless computing
(1)
remote memory access
(1)
garbage collection
(1)
garbage collection optimization
(1)
memory access pattern
(1)
runtime system
(1)
memory prefetching
(1)
cpu server
(1)
serverless thread
(1)
graph neural network
(1)
far memory
(1)
managed runtime
(1)
computation separation
(1)
preemptible instance
(1)
Papers
Bamboo: Making Preemptible Instances Resilient for Affordable Training of Large DNNs
NSDI 2023
MemLiner: Lining up Tracing and Application for a Far-Memory-Friendly Runtime
OSDI 2022
Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads
OSDI 2021