| 2026 | ISCA | Understanding Inference Scaling for LLMS: Bottlenecks, Trade-Offs, and Performance Principles. | Moiz Arif, Avinash Maurya, Sudharshan Vazhkudai, Bogdan Nicolae |
| 2022 | ICPP | Exploiting CXL-based Memory for Distributed Deep Learning. | Moiz Arif, Kevin Assogba, M. Mustafa Rafique, Sudharshan Vazhkudai |
| 2021 | SC | Exploiting user activeness for data retention in HPC systems. | Wei Zhang, Suren Byna, Hyogi Sim, Sangkeun Lee, Sudharshan Vazhkudai, Yong Chen |
| 2016 | SBAC-PAD | Using Balanced Data Placement to Address I/O Contention in Production Environments. | Sarah Neuwirth, Feiyi Wang, Sarp Oral, Sudharshan Vazhkudai, James H. Rogers, Ulrich Brning |
| 2007 | EuroPar | Are P2P Data-Dissemination Techniques Viable in Today's Data-Intensive Scientific Collaborations? | Samer Al-Kiswany, Matei Ripeanu, Adriana Iamnitchi, Sudharshan Vazhkudai |
| 2006 | ICS | Coupling prefix caching and collective downloads for remote dataset access. | Xiaosong Ma, Vincent W. Freeh, Tao Yang, Sudharshan Vazhkudai, Tyler A. Simon, Stephen L. Scott |
| 2005 | SC | FreeLoader: Scavenging Desktop Storage Resources for Scientific Data. | Sudharshan Vazhkudai, Xiaosong Ma, Vincent W. Freeh, Jonathan W. Strickland, Nandan Tammineedi, Stephen L. Scott |
| 2004 | PDPTA | On-demand Grid Storage Using Scavenging. | Sudharshan Vazhkudai |
| 2002 | HPDC | Predicting Sporadic Grid Data Transfers. | Sudharshan Vazhkudai, Jennifer M. Schopf |
| 2001 | CCGRID | Compute Power Market: Towards a Market-Oriented Grid. | Rajkumar Buyya, Sudharshan Vazhkudai |
| 2001 | CCGRID | Replica Selection in the Globus Data Grid. | Sudharshan Vazhkudai, Steven Tuecke, Ian T. Foster |
| 2000 | PDPTA | A Reusable Software Framework for Distributed Decision-Making Protocols. | Sudharshan Vazhkudai, H. Conrad Cunningham |
| 2000 | PDPTA | The PODOS File System - Exploiting the High-Speed Communication Subsystem. | Sudharshan Vazhkudai, P. Tobin Maginnis |