A High Performance Communication Subsystem for PODOS. - Sudharshan Vazhkudai; P. Tobin Maginnis (IWCC, 1999)

A Reusable Software Framework for Distributed Decision-Making Protocols. - Sudharshan Vazhkudai; H. Conrad Cunningham (PDPTA, 2000)

The PODOS File System - Exploiting the High-Speed Communication Subsystem. - Sudharshan Vazhkudai; P. Tobin Maginnis (PDPTA, 2000)

Compute Power Market: Towards a Market-Oriented Grid. - Rajkumar Buyya; Sudharshan Vazhkudai (CCGRID, 2001)

Replica Selection in the Globus Data Grid. - Sudharshan Vazhkudai; Steven Tuecke; Ian T. Foster (CCGRID, 2001)

A Greedy Grid: The Grid Economic Engine Directive. - Sudharshan Vazhkudai; Gregor von Laszewski (IPDPS, 2001)

Using Disk Throughput Data in Predictions of End-to-End Grid Data Transfers. - Sudharshan Vazhkudai; Jennifer M. Schopf (GRID, 2002)

Predicting Sporadic Grid Data Transfers. - Sudharshan Vazhkudai; Jennifer M. Schopf (HPDC, 2002)

Predicting the Performance of Wide Area Data Transfers. - Sudharshan Vazhkudai; Jennifer M. Schopf; Ian T. Foster (IPDPS, 2002)

PODOS – The design and implementation of a performance oriented Linux cluster. - Sudharshan Vazhkudai; Jeelani Syed; P. Tobin Maginnis (Future Gener. Comput. Syst., 2002)

Enabling the Co-Allocation of Grid Data Transfers. - Sudharshan Vazhkudai (GRID, 2003)

Using Regression Techniques to Predict Large Data Transfers. - Sudharshan Vazhkudai; Jennifer M. Schopf (Int. J. High Perform. Comput. Appl., 2003)

On-demand Grid Storage Using Scavenging. - Sudharshan Vazhkudai (PDPTA, 2004)

Distributed Downloads of Bulk, Replicated Grid Data. - Sudharshan Vazhkudai (J. Grid Comput., 2004)

Governor: Autonomic Throttling for Aggressive Idle Resource Scavenging. - Jonathan W. Strickland; Vincent W. Freeh; Xiaosong Ma; Sudharshan Vazhkudai (ICAC, 2005)

FreeLoader: Scavenging Desktop Storage Resources for Scientific Data. - Sudharshan Vazhkudai; Xiaosong Ma; Vincent W. Freeh; Jonathan W. Strickland; Nandan Tammineedi; Stephen L. Scott (SC, 2005)

Positioning Dynamic Storage Caches for Transient Data. - Sudharshan S. Vazhkudai; Douglas Thain; Xiaosong Ma; Vincent W. Freeh (CLUSTER, 2006)

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 (ICS, 2006)

Constructing collaborative desktop storage caches for large scientific datasets. - Sudharshan S. Vazhkudai; Xiaosong Ma; Vincent W. Freeh; Jonathan W. Strickland; Nandan Tammineedi; Tyler A. Simon; Stephen L. Scott (ACM Trans. Storage, 2006)

Are P2P Data-Dissemination Techniques Viable in Today's Data-Intensive Scientific Collaborations? - Samer Al-Kiswany; Matei Ripeanu; Adriana Iamnitchi; Sudharshan Vazhkudai (Euro-Par, 2007)

A Java-based science portal for neutron scattering experiments. - Sudharshan S. Vazhkudai; James Arthur Kohl; Jens Schwidder (PPPJ, 2007)

A result-data offloading service for HPC centers. - Henry M. Monti; Ali Raza Butt; Sudharshan S. Vazhkudai (PDSW, 2007)

Optimizing center performance through coordinated data staging, scheduling and recovery. - Zhe Zhang 005; Chao Wang 056; Sudharshan S. Vazhkudai; Xiaosong Ma; Gregory G. Pike; John W. Cobb; Frank Mueller 001 (SC, 2007)

The Neutron Science TeraGrid Gateway: a TeraGrid science gateway to support the Spallation Neutron Source. - John W. Cobb; Al Geist; James Arthur Kohl; Stephen D. Miller; Peter F. Peterson; Gregory G. Pike; Michael A. Reuter; Tom Swain; Sudharshan S. Vazhkudai; Nithya N. Vijayakumar (Concurr. Comput. Pract. Exp., 2007)

A Checkpoint Storage System for Desktop Grid Computing - Samer Al-Kiswany; Matei Ripeanu; Sudharshan S. Vazhkudai (CoRR, 2007)

Recovering transient data: automated on-demand data reconstruction and offloading for supercomputers. - Sudharshan Vazhkudai; Xiaosong Ma (ACM SIGOPS Oper. Syst. Rev., 2007)

stdchk: A Checkpoint Storage System for Desktop Grid Computing. - Samer Al-Kiswany; Matei Ripeanu; Sudharshan S. Vazhkudai; Abdullah Gharaibeh (ICDCS, 2008)

On-the-Fly Recovery of Job Input Data in Supercomputers. - Chao Wang 056; Zhe Zhang 005; Sudharshan S. Vazhkudai; Xiaosong Ma; Frank Mueller 001 (ICPP, 2008)

Timely offloading of result-data in HPC centers. - Henry M. Monti; Ali Raza Butt; Sudharshan S. Vazhkudai (ICS, 2008)

Virtual Organizations [Guest Editors' Introduction]. - Matei Ripeanu; Munindar P. Singh; Sudharshan S. Vazhkudai (IEEE Internet Comput., 2008)

/scratch as a cache: rethinking HPC center scratch storage. - Henry M. Monti; Ali Raza Butt; Sudharshan S. Vazhkudai (ICS, 2009)

Beyond Music Sharing: An Evaluation of Peer-to-Peer Data Dissemination Techniques in Large Scientific Collaborations. - Samer Al-Kiswany; Matei Ripeanu; Adriana Iamnitchi; Sudharshan Vazhkudai (J. Grid Comput., 2009)

Improving Data Availability for Better Access Performance: A Study on Caching Scientific Data on Distributed Desktop Workstations. - Xiaosong Ma; Sudharshan S. Vazhkudai; Zhe Zhang 005 (J. Grid Comput., 2009)

Improving the availability of supercomputer job input data using temporal replication. - Chao Wang 056; Zhe Zhang 005; Xiaosong Ma; Sudharshan S. Vazhkudai; Frank Mueller 001 (Comput. Sci. Res. Dev., 2009)

Reconciling scratch space consumption, exposure, and volatility to achieve timely staging of job input data. - Henry M. Monti; Ali Raza Butt; Sudharshan S. Vazhkudai (IPDPS, 2010)

Functional Partitioning to Optimize End-to-End Performance on Many-core Architectures. - Min Li; Sudharshan S. Vazhkudai; Ali Raza Butt; Fei Meng; Xiaosong Ma; Youngjae Kim 001; Christian Engelmann; Galen M. Shipman (SC, 2010)

Provisioning a Multi-tiered Data Staging Area for Extreme-Scale Machines. - Ramya Prabhakar; Sudharshan S. Vazhkudai; Youngjae Kim 001; Ali Raza Butt; Min Li; Mahmut T. Kandemir (ICDCS, 2011)

CATCH: A Cloud-Based Adaptive Data Transfer Service for HPC. - Henry M. Monti; Ali Raza Butt; Sudharshan S. Vazhkudai (IPDPS, 2011)

Timely Result-Data Offloading for Improved HPC Center Scratch Provisioning and Serviceability. - Henry M. Monti; Ali Raza Butt; Sudharshan S. Vazhkudai (IEEE Trans. Parallel Distributed Syst., 2011)

NVMalloc: Exposing an Aggregate SSD Store as a Memory Partition in Extreme-Scale Machines. - Chao Wang 056; Sudharshan S. Vazhkudai; Xiaosong Ma; Fei Meng; Youngjae Kim 001; Christian Engelmann (IPDPS, 2012)

On the Use of GPUs in Realizing Cost-Effective Distributed RAID. - Aleksandr Khasymski; M. Mustafa Rafique; Ali Raza Butt; Sudharshan S. Vazhkudai; Dimitrios S. Nikolopoulos (MASCOTS, 2012)

Active Flash: Out-of-core data analytics on flash storage. - Simona Boboila; Youngjae Kim 001; Sudharshan S. Vazhkudai; Peter Desnoyers; Galen M. Shipman (MSST, 2012)

Reducing Data Movement Costs Using Energy-Efficient, Active Computation on SSD. - Devesh Tiwari; Sudharshan S. Vazhkudai; Youngjae Kim 001; Xiaosong Ma; Simona Boboila; Peter Desnoyers (HotPower, 2012)

Active flash: towards energy-efficient, in-situ data analytics on extreme-scale machines. - Devesh Tiwari; Simona Boboila; Sudharshan S. Vazhkudai; Youngjae Kim 001; Xiaosong Ma; Peter Desnoyers; Yan Solihin (FAST, 2013)

On Timely Staging of HPC Job Input Data. - Henry M. Monti; Ali Raza Butt; Sudharshan S. Vazhkudai (IEEE Trans. Parallel Distributed Syst., 2013)

Lazy Checkpointing: Exploiting Temporal Locality in Failures to Mitigate Checkpointing Overheads on Extreme-Scale Systems. - Devesh Tiwari; Saurabh Gupta 002; Sudharshan S. Vazhkudai (DSN, 2014)

Automatic identification of application I/O signatures from noisy server-side traces. - Yang Liu 129; Raghul Gunasekaran; Xiaosong Ma; Sudharshan S. Vazhkudai (FAST, 2014)

Improving large-scale storage system performance via topology-aware and balanced data placement. - Feiyi Wang; Sarp Oral; Saurabh Gupta 002; Devesh Tiwari; Sudharshan S. Vazhkudai (ICPADS, 2014)

Best Practices and Lessons Learned from Deploying and Operating Large-Scale Data-Centric Parallel File Systems. - Sarp Oral; James Simmons; Jason Hill; Dustin Leverman; Feiyi Wang; Matthew A. Ezell; Ross G. Miller; Douglas Fuller; Raghul Gunasekaran; Youngjae Kim 001; Saurabh Gupta 002; Devesh Tiwari; et al. (SC, 2014)

Understanding GPU errors on large-scale HPC systems and the implications for system design and operation. - Devesh Tiwari; Saurabh Gupta 002; James H. Rogers; Don Maxwell; Paolo Rech; Sudharshan S. Vazhkudai; Daniel Oliveira 002; Dave Londo; Nathan DeBardeleben; Philippe Olivier Alexandre Navaux; Luigi Carro; Arthur S. Bland (HPCA, 2015)

AnalyzeThis: an analysis workflow-aware storage system. - Hyogi Sim; Youngjae Kim 001; Sudharshan S. Vazhkudai; Devesh Tiwari; Ali Anwar 001; Ali Raza Butt; Lavanya Ramakrishnan (SC, 2015)

A practical approach to reconciling availability, performance, and capacity in provisioning extreme-scale storage systems. - Lipeng Wan 001; Feiyi Wang; Sarp Oral; Devesh Tiwari; Sudharshan S. Vazhkudai; Qing Cao 001 (SC, 2015)

Realizing Accelerated Cost-Effective Distributed RAID. - Aleksandr Khasymski; M. Mustafa Rafique; Ali Raza Butt; Sudharshan S. Vazhkudai; Dimitrios S. Nikolopoulos (Handbook on Data Centers, 2015)

Constellation: A science graph network for scalable data and knowledge discovery in extreme-scale scientific collaborations. - Sudharshan S. Vazhkudai; John Harney; Raghul Gunasekaran; Dale Stansberry; Seung-Hwan Lim; Tom Barron; Andrew Nash; Arvind Ramanathan (IEEE BigData, 2016)

Using Balanced Data Placement to Address I/O Contention in Production Environments. - Sarah Neuwirth; Feiyi Wang; Sarp Oral; Sudharshan Vazhkudai; James H. Rogers; Ulrich Brüning 001 (SBAC-PAD, 2016)

Server-side log data analytics for I/O workload characterization and coordination on large shared storage systems. - Yang Liu 129; Raghul Gunasekaran; Xiaosong Ma; Sudharshan S. Vazhkudai (SC, 2016)

A multi-faceted approach to job placement for improved performance on extreme-scale systems. - Christopher Zimmer 001; Saurabh Gupta 002; Scott Atchley; Sudharshan S. Vazhkudai; Carl Albing (SC, 2016)

AnalyzeThat: A Programmable Shared-Memory System for an Array of Processing-In-Memory Devices. - Sangkeun Lee 002; Hyogi Sim; Youngjae Kim 001; Sudharshan S. Vazhkudai (CCGrid, 2017)

Effective Running of End-to-End HPC Workflows on Emerging Heterogeneous Architectures. - Kun Tang; Devesh Tiwari; Saurabh Gupta 002; Sudharshan S. Vazhkudai; Xubin He (CLUSTER, 2017)

Applying Graph Analytics to Understand Compute Core Usage and Publication Trends in a Petascale Supercomputing Facility. - Sangkeun Lee 002; Sudharshan S. Vazhkudai; Raghul Gunasekaran (HiPC, 2017)

Toward Managing HPC Burst Buffers Effectively: Draining Strategy to Regulate Bursty I/O Behavior. - Kun Tang; Ping Huang 001; Xubin He; Tao Lu; Sudharshan S. Vazhkudai; Devesh Tiwari (MASCOTS, 2017)

Understanding object-level memory access patterns across the spectrum. - Xu Ji; Chao Wang 056; Nosayba El-Sayed; Xiaosong Ma; Youngjae Kim 001; Sudharshan S. Vazhkudai; Wei Xue 003; Daniel Sánchez 003 (SC, 2017)

Scientific user behavior and data-sharing trends in a petascale file system. - Seung-Hwan Lim; Hyogi Sim; Raghul Gunasekaran; Sudharshan S. Vazhkudai (SC, 2017)

Tagit: an integrated indexing and search service for file systems. - Hyogi Sim; Youngjae Kim 001; Sudharshan S. Vazhkudai; Geoffroy R. Vallée; Seung-Hwan Lim; Ali Raza Butt (SC, 2017)

GUIDE: a scalable information directory service to collect, federate, and analyze logs for operational insights into a leadership HPC facility. - Sudharshan S. Vazhkudai; Ross G. Miller; Devesh Tiwari; Christopher Zimmer 001; Feiyi Wang; Sarp Oral; Raghul Gunasekaran; Deryl Steinert (SC, 2017)

Exploring the Optimal Platform Configuration for Power-Constrained HPC Workflows. - Kun Tang; Xubin He; Saurabh Gupta 002; Sudharshan S. Vazhkudai; Devesh Tiwari (ICCCN, 2018)

The design, deployment, and evaluation of the CORAL pre-exascale systems. - Sudharshan S. Vazhkudai; Bronis R. de Supinski; Arthur S. Bland; Al Geist; James C. Sexton; Jim Kahle; Christopher Zimmer 001; Scott Atchley; Sarp Oral; Don E. Maxwell; Verónica G. Vergara Larrea; Adam Bertsch; et al. (SC, 2018)

GPU age-aware scheduling to improve the reliability of leadership jobs on Titan. - Christopher Zimmer 001; Don Maxwell; Stephen Taylor McNally; Scott Atchley; Sudharshan S. Vazhkudai (SC, 2018)

Evaluating Burst Buffer Placement in HPC Systems. - Harsh Khetawat; Christopher Zimmer 001; Frank Mueller 001; Scott Atchley; Sudharshan S. Vazhkudai; Misbah Mubarak (CLUSTER, 2019)

AHEAD: A Tool for Projecting Next-Generation Hardware Enhancements on GPU-Accelerated Systems. - Hazem A. Abdelhafez; Christopher Zimmer 001; Sudharshan S. Vazhkudai; Matei Ripeanu (IPDPS Workshops, 2019)

Data Jockey: Automatic Data Management for HPC Multi-tiered Storage Systems. - Woong Shin; Christopher Brumgard; Bing Xie; Sudharshan S. Vazhkudai; Devarshi Ghoshal; Sarp Oral; Lavanya Ramakrishnan (IPDPS, 2019)

Profiling the Usage of an Extreme-Scale Archival Storage System. - Hyogi Sim; Sudharshan S. Vazhkudai (MASCOTS, 2019)

End-to-end I/O portfolio for the summit supercomputing ecosystem. - Sarp Oral; Sudharshan S. Vazhkudai; Feiyi Wang; Christopher Zimmer 001; Christopher Brumgard; Jesse Hanley; George Markomanolis; Ross G. Miller; Dustin Leverman; Scott Atchley; Verónica G. Vergara Larrea (SC, 2019)

Applying Machine Learning to Understand Write Performance of Large-scale Parallel Filesystems. - Bing Xie; Zilong Tan; Philip H. Carns; Jeffrey S. Chase; Kevin Harms; Jay F. Lofstead; Sarp Oral; Sudharshan S. Vazhkudai; Feiyi Wang (PDSW@SC, 2019)

A programmable shared-memory system for an array of processing-in-memory devices. - Sangkeun Lee 002; Hyogi Sim; Youngjae Kim 001; Sudharshan S. Vazhkudai (Clust. Comput., 2019)

An Analysis Workflow-Aware Storage System for Multi-Core Active Flash Arrays. - Hyogi Sim; Geoffroy Vallée; Youngjae Kim 001; Sudharshan S. Vazhkudai; Devesh Tiwari; Ali Raza Butt (IEEE Trans. Parallel Distributed Syst., 2019)

MARBLE: A Multi-GPU Aware Job Scheduler for Deep Learning on HPC Systems. - Jingoo Han; M. Mustafa Rafique; Luna Xu; Ali Raza Butt; Seung-Hwan Lim; Sudharshan S. Vazhkudai (CCGRID, 2020)

Understanding the Interplay between Hardware Errors and User Job Characteristics on the Titan Supercomputer. - Seung-Hwan Lim; Ross G. Miller; Sudharshan S. Vazhkudai (IPDPS, 2020)

Persistent Memory Object Storage and Indexing for Scientific Computing. - Awais Khan 002; Hyogi Sim; Sudharshan S. Vazhkudai; Jin-Suk Ma; Myeong-Hoon Oh; Youngjae Kim 001 (MCHPC@SC, 2020)

An Integrated Indexing and Search Service for Distributed File Systems. - Hyogi Sim; Awais Khan 002; Sudharshan S. Vazhkudai; Seung-Hwan Lim; Ali Raza Butt; Youngjae Kim 001 (IEEE Trans. Parallel Distributed Syst., 2020)

An Analysis of System Balance and Architectural Trends Based on Top500 Supercomputers. - Awais Khan 002; Hyogi Sim; Sudharshan S. Vazhkudai; Ali Raza Butt; Youngjae Kim 001 (HPC Asia, 2021)

Interpreting Write Performance of Supercomputer I/O Systems with Regression Models. - Bing Xie; Zilong Tan; Philip H. Carns; Jeffrey S. Chase; Kevin Harms; Jay F. Lofstead; Sarp Oral; Sudharshan S. Vazhkudai; Feiyi Wang (IPDPS, 2021)

Exploiting user activeness for data retention in HPC systems. - Wei Zhang 097; Suren Byna; Hyogi Sim; Sangkeun Lee 001; Sudharshan Vazhkudai; Yong Chen 001 (SC, 2021)

MOSIQS: Persistent Memory Object Storage With Metadata Indexing and Querying for Scientific Computing. - Awais Khan 002; Hyogi Sim; Sudharshan S. Vazhkudai; Youngjae Kim 001 (IEEE Access, 2021)

Exploiting CXL-based Memory for Distributed Deep Learning. - Moiz Arif; Kevin Assogba; M. Mustafa Rafique; Sudharshan Vazhkudai (ICPP, 2022)

Evaluating Expansion Memory for Optimizer State Offloading for Large Transformer Models. - Moiz Arif; Avinash Maurya; Sudharshan Vazhkudai; Bogdan Nicolae (IPDPS (Workshops), 2025)