78 citations · 322 across the 17 of their papers we have counts for
Showing 2024Show all
2 papers · 1 filter
cs.AR2024
FRED: Flexible REduction-Distribution Interconnect and Communication Implementation for Wafer-Scale Distributed Training of DNN Models
Saeed Rashidi, William Won, Sudarshan Srinivasan +2
Distributed Deep Neural Network (DNN) training is a technique to reduce the training overhead by distributing the training tasks into multiple accelerators, according to a parallel…
cs.AR2024★ 1 cited
Demystifying AI Platform Design for Distributed Inference of Next-Generation LLM models
Abhimanyu Bambhaniya, Ritik Raj, Geonhwa Jeong +6
Large language models (LLMs) have shown remarkable performance across a wide range of applications, often outperforming human experts. However, deploying these gigantic models effi…