12 citations · 15 across the 4 of their papers we have counts for
4 papers
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…
stdchk: A Checkpoint Storage System for Desktop Grid Computing
Samer Al Kiswany, Matei Ripeanu, Sudharshan S. Vazhkudai +1
Checkpointing is an indispensable technique to provide fault tolerance for long-running high-throughput applications like those running on desktop grids. This paper argues that a d…
Using Regression Techniques to Predict Large Data Transfers
Sudharshan Vazhkudai, Jennifer M. Schopf
The recent proliferation of Data Grids and the increasingly common practice of using resources as distributed data stores provide a convenient environment for communities of resear…
Replica Selection in the Globus Data Grid
Sudharshan Vazhkudai, Steven Tuecke, Ian Foster
The Globus Data Grid architecture provides a scalable infrastructure for the management of storage resources and data that are distributed across Grid environments. These services…