2 papers
cs.DC2026
Understanding Inference Scaling for LLMs: Bottlenecks, Trade-offs, and Performance Principles
Moiz Arif, Avinash Maurya, Sudharshan Vazhkudai +1
The transition from standard generative AI to \emph{reasoning-centric architectures}, exemplified by models capable of extensive Chain-of-Thought~(CoT) processing, marks a fundamen…
cs.DC2023
Towards Persistent Memory based Stateful Serverless Computing for Big Data Applications
Yuze Li, Kevin Assogba, Abhijit Tripathy +4
The Function-as-a-service (FaaS) computing model has recently seen significant growth especially for highly scalable, event-driven applications. The easy-to-deploy and cost-efficie…