Publications

(As recorded by DBLP, Google Scholar)

o   2022

• M. Arif, K. Assogba, M.M. Rafique, and S.S. Vazhkudai. “Exploiting CXL-based Memory for Distributed Deep Learning,” Proceedings of the 51st International Conference on Parallel Processing (ICPP), Bordeaux, France, August 2022.

o   2021

• W. Zhang, S. Byna, H. Sim, S.K. Lee, S. Vazhkudai and Y. Chen. “Exploiting User Activeness for Data Retention in HPC Systems,” Proceedings of Supercomputing 2021: 34th International Conference for High Performance Computing, Networking, Storage and Analysis, SC'21, 2021.

• A. Khan, H. Sim, S.S. Vazhkudai, Y. Kim, “MOSIQS: Persistent Memory Object Storage with Metadata Indexing and Querying for Scientific Computing,” IEEE Access (2021), Vol.09, pp. 85217-85231, June 2021.

• B. Xie, Z. Tan, P. Carns, J. Chase, K. Harms, J. Lofstead, S. Oral, S.S. Vazhkudai, F. Wang, “Interpreting Write Performance of Supercomputer I/O Systems with Regression Models,” Proceedings of the 35th IEEE Int’l Parallel and Distributed Processing Symposium (IPDPS), May 2021.

• A. Khan, H. Sim, S.S. Vazhkudai, A. Butt, Y. Kim, “An Analysis of System Balance and Architectural Trends Based on Top500 Supercomputers,” In Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region (HPC Asia) (2021), January 20-22, 2021.

o   2020

• A. Khan, H. Sim, S.S. Vazhkudai, J. Ma, M. Oh, Y. Kim, “Persistent Memory Object Storage with Metadata Indexing and Querying for Scientific Computing,” Memory Centric HPC, Atlanta, GA, November 2020.

• H. Sim, A. Khan, S. S. Vazhkudai, S. Lim, A. R. Butt and Y. Kim, “An Integrated Indexing and Search Service for Distributed File Systems,” in IEEE Transactions on Parallel and Distributed Systems, Vol. 31, No. 10, pp. 2375-2391, October 2020.

• Jingoo Han, M. Mustafa Rafique, Luna Xu, Ali R. Butt, Seung-Hwan Lim and Sudharshan S. Vazhkudai, "MARBLE: A Multi-GPU Aware Job Scheduler for Deep Learning on HPC Systems," Proceedings of  the 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID), Melbourne, Australia, May 2020.

• Seung-Hwan Lim, Ross Miller and Sudharshan S. Vazhkudai, "Understanding the Interplay between Hardware Errors and User Job Characteristics on the Titan Supercomputer," Proceedings of the 34th IEEE International Parallel and Distributed Processing Symposium (IPDPS), New Orleans, LA, May 2020. 

o   2019

• Sarp Oral, Sudharshan S. Vazhkudai, Feiyi Wang, Christopher Zimmer, Christopher Brumgard, Jesse Hanley, George Markomanolis, Ross Miller, Dustin Leverman, Scott Atchley, and Veronica Larrea, "End-to-end I/O Portfolio for the Summit Supercomputing Ecosystem," Proceedings of Supercomputing 2019 (SC19): 32nd Int'l Conference on High Performance Computing, Networking, Storage and Analysis, Denver, CO, November 2019.

• Bing Xie, Zilong Tan, Philip Carns, Jeff Chase, Kevin Harms, Jay Lofstead, Sarp Oral, Sudharshan S. Vazhkudai and Feiyi Wang, "Applying Machine Learning to Understand Write Performance of Large-scale Parallel File Systems," Proceedings of the Int'l Parallel Data Systems Workshop (PDSW), Denver, CO, November 2019.

• Hyogi Sim, Sudharshan S. Vazhkudai, “Profiling the Usage of an Extreme-Scale Archival Storage System,” Proceedings of the 27th IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS 2019), Rennes, France, October 2019.

• Harsh Khetawat, Christopher Zimmer, Frank Mueller, Scott Atchley, Sudharshan S. Vazhkudai, Misbah Mubarak, “Evaluating Burst Buffer Placement in HPC Systems,” Proceedings of the IEEE Cluster 2019, Albuquerque, NM, September 2019. (Best Paper)

• Woong Shin, Christopher D. Brumgard, Bing Xie, Sudharshan S. Vazhkudai, Devarshi, Ghoshal, Sarp Oral, Lavanya Ramakrishnan, "Data Jockey: Automatic Data Management for HPC Multi-Tiered Storage Systems," Proceedings of the 33rd IEEE International Parallel & Distributed Processing Symposium (IPDPS 2019), Rio de Janeiro, Brazil, May 2019.

• Hazem A. Abdelhafez, Christopher Zimmer, Sudharshan S. Vazhkudai and Matei Ripeanu, "AHEAD: A Tool for Projecting Next-Generation Hardware Enhancements on GPU-Accelerated Systems," Proceedings of the 21st Workshop on Advances in Parallel and Distributed Computational Models (APDCM 2019), co-located with IPDPS’19, Rio de Janeiro, Brazil, May 2019. (Best Paper)

• Hyogi Sim, Geoffroy Vallee, Youngjae Kim, Sudharshan S. Vazhkudai, Devesh Tiwari and Ali R. Butt, “An Analysis Workflow-Aware Storage System for Multi-Core Active Flash Arrays,” IEEE Transactions on Parallel and Distributed Systems (TPDS), Vol. 30, Issue 2, pp. 271-285, February 2019.

o   2018

• Sudharshan S. Vazhkudai, Bronis R. de Supinski, Arthur S. Bland, Al Geist, James Sexton, Jim Kahle, Christopher J. Zimmer, Scott Atchley, Sarp H. Oral, Don E. Maxwell, Veronica G. Vergara Larrea, Adam Bertsch, Robin Goldstone, Wayne Joubert, Chris Chambreau, David Appelhans, Robert Blackmore, Ben Casses, George Chochia, Gene Davison, Matthew A. Ezell, Tom Gooding, Elsa Gonsiorowski, Leopold Grinberg, Bill Hanson, Bill Hartner, Ian Karlin, Matthew L. Leininger, Dustin Leverman, Chris Marroquin, Adam Moody, Martin Ohmacht, Ramesh Pankajakshan, Fernando Pizzano, James H. Rogers, Bryan Rosenburg, Drew Schmidt, Mallikarjun Shankar, Feiyi Wang, Py Watson, Bob Walkup, Lance D. Weems, Junqi Yin, "The Design, Deployment, and Evaluation of the CORAL Pre-Exascale Systems," Proceedings of Supercomputing 2018 (SC18): 31th Int'l Conference on High Performance Computing, Networking, Storage and Analysis, Dallas, TX, November 2018.

• Christopher J. Zimmer, Don Maxwell, Scott Atchley, Stephen McNally, Sudharshan S. Vazhkudai, "GPU Age-Aware Scheduling to Improve the Reliability of Leadership Jobs on Titan," Proceedings of Supercomputing 2018 (SC18): 31th Int'l Conference on High Performance Computing, Networking, Storage and Analysis, Dallas, TX, November 2018.

• H. Khetawat, C. Zimmer, F. Mueller, S. Vazhkudai, S. Atchley, “Using Darshan and CODES to Evaluate Application I/O Performance,” (poster) Proceedings of Supercomputing 2018 (SC18): 31th Int'l Conference on High Performance Computing, Networking, Storage and Analysis, Dallas, TX, November 2018. 

• Kun Tang, Xubin He, Saurabh Gupta, Sudharshan S. Vazhkudai, and Devesh Tiwari,  “Exploring the Optimal Platform Configuration for Power-constrained HPC Workflows,” Proceedings of the 27th International Conference on Computer Communications and Networks (ICCCN 2018), Hangzhou, China, July 2018.

• Sangkeun Lee, Hyogi Sim, Youngjae Kim, Sudharshan S. Vazhkudai, “A Programmable Shared-Memory System for an Array of Processing-In-Memory Devices,” Journal of Cluster Computing, 2018. 

o   2017

• Sangkeun Lee, Sudharshan S. Vazhkudai, and Raghul Gunasekaran, "Applying Graph Analytics to Understand Compute Core Usage and Publication Trends in a Petascale Supercomputing Facility," Proceedings of the 24th IEEE Int'l Conference on High Performance Computing, Data, and Analytics (HiPC), Jaipur, India, December 2017.

• Sudharshan S. Vazhkudai, Ross Miller, Devesh Tiwari, Christopher Zimmer, Feiyi Wang, Sarp Oral, Raghul Gunasekaran, Deryl Steinert, ``GUIDE: A Scalable Information Directory Service to Collect, Federate, and Analyze Logs for Operational Insights into a Leadership HPC Facility,'' Proceedings of Supercomputing 2017 (SC17): 30th Int'l Conference on High Performance Computing, Networking, Storage and Analysis, Denver, CO, November 2017.

• Seung-Hwan Lim, Hyogi Sim, Raghul Gunasekaran, Sudharshan S. Vazhkudai, ``Scientific User Behavior and Data-Sharing Trends in a Petascale File System,'' Proceedings of Supercomputing 2017 (SC17): 30th Int'l Conference on High Performance Computing, Networking, Storage and Analysis, Denver, CO, November 2017.

• Hyogi Sim, Youngjae Kim, Sudharshan S. Vazhkudai, Geoffroy R. Vallee, Seung-Hwan Lim, Ali R. Butt, ``TagIt: An Integrated Indexing and Search Service for File Systems,'' Proceedings of Supercomputing 2017 (SC17): 30th Int'l Conference on High Performance Computing, Networking, Storage and Analysis, Denver, CO, November 2017.

• Xu Ji, Chao Wang, Nosayba El-Sayed, Xiaosong Ma, Youngjae Kim, Sudharshan S. Vazhkudai, Wei Xue, Daniel Sanchez, ``Understanding Object-level Memory Access Patterns Across the Spectrum,'' Proceedings of Supercomputing 2017 (SC17): 30th Int'l Conference on High Performance Computing, Networking, Storage and Analysis, Denver, CO, November 2017.

• Kun Tang, Ping Huang, Xubin He, Tao Lu, Sudharshan S. Vazhkudai, and Devesh Tiwari, ``Toward Managing HPC Burst Buffers Effectively: Draining Strategy to Regulate Bursty I/O Behavior,'' Proceedings of the 25th IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS 2017), Banff, Canada, September 2017.

• Kun Tang, Devesh Tiwari, Saurabh Gupta, Sudharshan S. Vazhkudai, Xubin He, ``Effective Running of End-to-end HPC Workflows on Emerging Heterogeneous Architectures,'' Proceedings of IEEE Cluster 2017, Honolulu, HI, September 2017.

• Sangkuen Lee, Hyogi Sim, Youngjae Kim, Sudharshan S. Vazhkudai, ``AnalyzeThat: A Programmable Shared-Memory System for Processing-In-Memory Devices,'' Proceedings of the 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID, Madrid, Spain, May 2017.

o   2016

• Sudharshan S. Vazhkudai, John Harney, Raghul Gunasekaran, Dale Stansberry, Seung-Hwan Lim, Tom Barron, Andrew Nash and Arvind Ramanathan, ``Constellation: A Science Graph Network for Scalable Data and Knowledge Discovery in Extreme-Scale Scientific Collaborations,'' Proceedings of the IEEE Workshop on Big Data Metadata and Management, Washington D.C., December 2016.

• Christopher Zimmer, Saurabh Gupta, Scott Atchley, Sudharshan S. Vazhkudai, and Carl Albing, ``A Multi-faceted Approach to Job Placement for Improved Performance on Extreme-Scale Systems,'' Proceedings of Supercomputing 2016 (SC16): 29th Int'l Conference on High Performance Computing, Networking, Storage and Analysis, Salt Lake City, UT, November 2016. 

• Yang Liu, Raghul Gunasekaran, Xiaosong Ma, and Sudharshan S. Vazhkudai, ``Server-side Log Data Analytics for I/O Workload Characterization and Coordination on Large Shared Storage Systems,'' Proceedings of Supercomputing 2016 (SC16): 29th Int'l Conference on High Performance Computing, Networking, Storage and Analysis, Salt Lake City, UT, November 2016.

• Sarah Neuwirth, Feiyi Wang, Sarp Oral, Sudharshan S. Vazhkudai, Ulrich Bruening,``An I/O Load Balancing Framework for Large-scale Applications (BPIO 2.0),'' (Poster) Proceedings of Supercomputing 2016 (SC16): 29th Int'l Conference on High Performance Computing, Networking, Storage and Analysis, Salt Lake City, UT, November 2016.

• Sarah Neuwirth, Feiyi Wang, Sarp Oral, Sudharshan S. Vazhkudai, James Rogers, Ulrich Bruening,``Using Balanced Data Placement to Address I/O Contention in Production Environments,'' Proceedings of the Int'l Symposium on Computer Architecture and High Performance Computing, Los Angeles, CA, October 2016.

• Hyogi Sim, Youngjae Kim, Sudharshan S. Vazhkudai, Geoffroy R. Vallee, Seung-Hwan Lim, and Ali R. Butt, ``TagIt: An Integrated Search and Discovery Service for Extreme-Scale File Systems,'' (Poster) Proceedings of the USENIX Annual Technical Conference (ATC), Denver, CO, June 2016.

o   2015

• Hyogi Sim, Youngjae Kim, Sudharshan S. Vazhkudai, Devesh Tiwari, Ali Anwar, Ali R. Butt, Lavanya Ramakrishnan, "AnalyzeThis: An Analysis Workflow-Aware Storage System," Proceedings of Supercomputing 2015 (SC15): 28th Int'l Conference on High Performance Computing, Networking, Storage and Analysis, Austin, TX, November 2015.

• Lipeng Wan, Feiyi Wang, Sarp Oral, Devesh Tiwari, Sudharshan S. Vazhkudai, Qing Cao, "A Practical Approach to Reconciling Availability, Performance, and Capacity in Provisioning Extreme-scale Storage Systems," Proceedings of Supercomputing 2015 (SC15): 28th Int'l Conference on High Performance Computing, Networking, Storage and Analysis, Austin, TX, November 2015.

• Devesh Tiwari, Saurabh Gupta, Jim Rogers, Don Maxwell, Paolo Rech, Sudharshan Vazhkudai, Daniel Oliveira, Dave Londo, Nathan Debardeleben, Philippe Navaux, Luigi Carro, Arthur Buddy Bland, "Understanding GPU Errors on Large-scale HPC Systems and the Implications for System Design and Operation", 21st IEEE Symp. on High Performance Computer Architecture (HPCA), San Francisco, California, February 2015.

o   2014

• Feiyi Wang, Sarp Oral, Saurabh Gupta, Devesh Tiwari and Sudharshan Vazhkudai, "Improving Large-scale Storage System Performance via Topology-aware and Balanced Data Placement", Proceedings of the 20th IEEE Int'l Conference on Parallel and Distributed Systems (ICPADS)", Hsinchu, Taiwan, December 2014.

• Sarp Oral, James Simmons, Jason Hill, Dustin Leverman, Feiyi Wang, Matt Ezell, Ross Miller, Douglas Fuller, Raghul Gunasekaran, Youngjae Kim, Saurabh Gupta, Devesh Tiwari, Sudharshan S. Vazhkudai, James H. Rogers, David Dillow, Galen M. Shipman, Arthur S. Bland, "Best Practices and Lessons Learned from Deploying and Operating Large-Scale Data-Centric Parallel File Systems", Proceedings of Supercomputing 2014 (SC14): 27th IEEE/ACM Int'l Conference on High Performance Computing, Networking, Storage and Analysis, New Orleans, Louisiana, November 2014.

• Karan Sapra, Saurabh Gupta, Ross Miller, Valentine Anantharaj, Scott Atchley, Sudharshan S. Vazhkudai, Devesh Tiwari, Melissa C. Smith, "End-to-End Computing using Functional Partitioning: A Community Earth System Model (CESM) Case Study", Smoky Mountain Conference, Gatlinburg, TN, Sept 2014.

• Devesh Tiwari, Saurabh Gupta, Sudharshan S. Vazhkudai, "Lazy Checkpointing: Exploiting Temporal Locality in Failures to Mitigate Checkpointing Overheads on Extreme-Scale Systems", Proceedings of the 44th Annual IEEE/IFIP Int'l Conference on Dependable Systems and Networks (DSN 2014), Atlanta, Georgia, June 2014.

• Aleksandr Khasymski, M. Mustafa Rafique, Ali R. Butt, Sudharshan S. Vazhkudai, and Dimitrios S. Nikolopoulos, "Realizing Accelerated Cost-Effective Distributed RAID ", Chapter in "Handbook on Data Centers", edited by Albert Y. Zomaya and Samee U. Khan, Springer, 2014.

• Chao Wang, Sudharshan S. Vazhkudai, Xiaosong Ma, Frank Mueller, "Transparent Fault Tolerance for Job Input Data in HPC Environments ", Chapter in "Handbook on Data Centers", edited by Albert Y. Zomaya and Samee U. Khan, Springer, 2014.

• Yang Liu, Raghul Gunasekaran, Xiaosong Ma, Sudharshan S. Vazhkudai, "Automatic Identification of Applications I/O Signatures from Noisy Server-Side Traces", Proceedings of the 12th USENIX Conference on File and Storage Technologies (FAST '14), Santa Clara, California, February 2014.

o   2013

• H. Monti, A.R. Butt, S.S. Vazhkudai, "On Timely Staging of HPC Job Input Data", IEEE Transactions on Parallel and Distributed Systems (TPDS), Vol. 24, No. 9, pp. 1841-1851, September 2013. supplement

• Sarp Oral, David A. Dillow, Douglas Fuller, Jason Hill, Dustin Leverman, Sudharshan S. Vazhkudai, Feiyi Wang, Youngjae Kim, James Rogers, James Simmons, Ross Miller, "OLCF's 1 TB/s, Next-Generation Lustre File System," Proceedings of the Cray User Group Conference (CUG), Napa Valley, California, May 2013.

• Devesh Tiwari, Simona Boboila, Sudharshan S. Vazhkudai, Youngjae Kim, Xiaosong Ma, Peter Desnoyers and Yan Solihin, "Active Flash: Towards Energy-Efficient, In-Situ Data Analytics on Extreme-Scale Machines", Proceedings of the 11th USENIX Conference on File and Storage Technologies (FAST '13), San Jose, California, February 2013.

o   2012 and earlier

• D. Tiwari, S.S. Vazhkudai, Y. Kim, X. Ma, S. Boboila, P.J. Desnoyers, "Reducing Data Movement Cost using Energy-Efficient Active Computation on SSD", Proceedings of the USENIX Workshop on Power-Aware Computing and Systems (HotPower'12, co-located with OSDI'12), Hollywood, CA, October 2012.

• A. Khasymski, M.M. Rafique, A.R. Butt, S.S. Vazhkudai, D.S. Nikolopoulos, "On the Use of GPUs in Realizing Cost-Effective Distributed RAID", Proceedings of the IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS'12), Washington, D.C., August 2012.

• S. Boboila, Y. Kim, S.S. Vazhkudai, P.J. Desnoyers, G. Shipman, "Active Flash: Out-of-core Data Analytics on Flash Storage", Proceedings of the 28th IEEE Conference on Mass Storage Systems and Technologies (MSST 2012), Monterey, CA, April 2012.

• C. Wang, S.S. Vazhkudai, X. Ma, F. Meng, Y. Kim, C. Engelmann, "NVMalloc: Exposing an Aggregate SSD Store as a Memory Partition in Extreme-Scale Machines", Proceedings of the 26th IEEE Int'l Parallel & Distributed Processing Symposium (IPDPS 2012), Shanghai, China, May 2012.

• S. Boboila, Y. Kim, S.S. Vazhkudai, P.J. Desnoyers, G. Shipman, "Active Flash: Performance-Energy Tradeoffs for Out-of-Core Processing on Non-Volatile Memory Devices", Poster in the Proceedings of the 3rd Non-Volatile Memories Workshop, San Diego, CA, March 2012.

• S.S. Vazhkudai, A.R. Butt, X. Ma, "Distributed Storage Systems for Data Intensive Computing", chapter in Data Intensive Distributed Computing: Challenges and Solutions for Large-scale Information Management, Editor: Tevfik Kosar, IGI Global Books, January 2012. (ISBN: 9781615209712, DOI: 10.4018/978-1-61520-971-2)

• H. Monti, A.R. Butt, S.S. Vazhkudai, "Timely Result-Data Offloading for Improved HPC Center Scratch Provisioning and Serviceability", IEEE Transactions on Parallel and Distributed Systems (TPDS), Vol. 22, No. 8, pp. 1307-1322, August 2011.

• R. Prabhakar, S. S. Vazhkudai, Y. Kim, A.R. Butt, M. Li, M. Kandemir, "Provisioning a Multi-Tiered Data Staging Area for Extreme-Scale Machines", Proceedings of the 31st International Conference on Distributed Computing Systems (ICDCS 2011), Minneapolis, MN, June 2011.

• H. Monti, A.R. Butt, S.S. Vazhkudai, "CATCH: A Cloud-based Adaptive Data Transfer Service for HPC", Proceedings of the 25th IEEE International Parallel & Distributed Processing Symposium (IPDPS 2011), Anchorage, Alaska, May 2011.

• M. Li, S. S. Vazhkudai, A.R. Butt, F. Meng, X. Ma, Y. Kim, C. Engelmann, G. Shipman, "Functional Partitioning to Optimize End-to-End Performance on Many-core Architectures", Proceedings of Supercomputing 2010 (SC10): 23rd IEEE/ACM Int'l Conference on High Performance Computing, Networking, Storage and Analysis, New Orleans, Louisiana, November 2010.

• H. Monti, A.R. Butt, S.S. Vazhkudai, "Reconciling Scratch Space Consumption, Exposure, and Volatility to Achieve Timely Staging of Job Input Data", Proceedings of the 24th IEEE International Parallel & Distributed Processing Symposium (IPDPS 2010), Atlanta, Georgia, April 2010.

• X. Ma, S.S. Vazhkudai, Z. Zhang, "Improving Data Availability for Better Access Performance: A Study on Caching Scientific Data on Distributed Desktop Workstations", Journal of Grid Computing - Special Issue on Volunteer Computing and Desktop Grids, Vol. 7, No. 4, pp. 419-438, December 2009.

• S.D. Miller, K.W. Herwig, S. Ren, S.S. Vazhkudai, P. Jemian, S. Luitz, A.A. Salnikov, I. Gappnenko, T. Proffen, P. Lewis, M.L. Green, "Data Management and Science at DOE BES User Facilities – Past, Present, and Future", Proceedings of the Scidac 2009, June 2009. Also in the Journal of Physics: Conference Series, vol. 180, 2009. poster pdf

• C. Wang, Z. Zhang, X. Ma, S.S. Vazhkudai, F. Mueller, "Improving the Availability of Supercomputer Job Input Data Using Temporal Replication", Proceedings of the Int'l Supercomputing Conference, Hamburg, Germany, June 2009. also in the Computer Science – Research & Development, Vol. 23, No. 3-4, pp. 149-157, 2009. extended version

• H. Monti, A.R. Butt, S.S. Vazhkudai, "/Scratch as a Cache: Rethinking HPC Center Scratch Storage", Proceedings of the 23rd ACM Int'l Conference on Supercomputing (ICS'09), Yorktown Heights, New York, June 2009.

• S.A. Kiswany, M. Ripeanu, A. Iamnitchi, S. Vazhkudai, "Beyond Music Sharing: An Evaluation of Peer-to-Peer Data Dissemination Techniques in Large Scientific Collaborations", Journal of Grid Computing, Vol. 7, No. 1, pp. 91-114, March 2009.

• S.A. Kiswany, M. Ripeanu, S. S. Vazhkudai, "Aggregate Memory as an Intermediate Checkpoint Storage Device", ORNL Technical Report 013521, November 2008.

• H. Monti, A.R. Butt, S.S. Vazhkudai, "Just-in-time Staging of Large Input Data for Supercomputing Jobs", Proceedings of Petascale Data Storage Workshop, Supercomputing 2008, Austin, Texas, November 2008.

• C. Wang, Z. Zhang, S. S. Vazhkudai, X, Ma, F. Mueller, "On-the-fly Recovery of Job Input Data in Supercomputers", Proceedings of 37th Int'l Conference on Parallel Processing (ICPP-08), Portland, Oregon, September 2008.

• H. Monti, A.R. Butt, S.S. Vazhkudai, "Timely Offloading of Result-Data in HPC Centers", Proceedings of the 22nd ACM Int'l Conference on Supercomputing (ICS'08), Kos, Greece, June 2008.

• S.A. Kiswany, M. Ripeanu, S. S. Vazhkudai, A. Gharaibeh, "stdchk: A Checkpoint Storage System for Desktop Grid Computing", Proceedings of the 28th Int'l Conference on Distributed Computing Systems (ICDCS 2008), Beijing, China, June 2008.

• M. Ripeanu, M. P. Singh, and S. S. Vazhkudai, "Virtual Organizations", Guest Editors' Introduction to IEEE Internet Computing: Special Issue on Virtual Organizations, March/April 2008.

• H. Monti, A.R. Butt, S.S. Vazhkudai, "A Result-Data offloading Service for HPC Centers", Proceedings of Petascale Data Storage Workshop, Supercomputing 2007, Reno, Nevada, November 2007.

• Z. Zhang, C. Wang, S. S. Vazhkudai, X, Ma, G. Pike, J.W. Cobb, F. Mueller, "Optimizing Center Performance through Coordinated Data Staging, Scheduling and Recovery", Proceedings of Supercomputing 2007 (SC07): Int'l Conference on High Performance Computing, Networking, Storage and Analysis, Reno, Nevada, November 2007.

• S.A. Kiswany, A. Bahramshahry, H. Ghasemi, M. Ripeanu, S.S. Vazhkudai, "A High-Performance GridFTP Server at Desktop Cost", Poster in Supercomputing 2007 (SC07): Int'l Conference on High Performance Computing, Networking, Storage and Analysis, Reno, Nevada, November 2007. pdf

• S. S. Vazhkudai, J.A. Kohl and J. Schwidder, "A Java-based Science Portal for Neutron Scattering Experiments", Proceedings of Principles and Practices of Programming in Java (PPPJ 2007), Lisbon,Portugal, September, 2007. pdf

• S.A. Kiswany, M. Ripeanu, A. Iamnitchi, S. Vazhkudai, "Are Peer-to-Peer Data Dissemination Techniques Viable in Today's Data Intensive Scientific Collaborations? ", Proceedings of the 13th International Euro-Par Conference: European Conference on Parallel and Distributed Computing, August 2007.

• S. Vazhkudai, M. Ripeanu, S.A. Kiswany, X. Ma and G. Bronevetsky, "A Checkpoint Storage System for HPC Applications", ORNL Technical Report 007031, June 2007.

• S. Vazhkudai, X. Ma, "Recovering Transient Data: Automated On-demand Data Reconstruction and Offloading on Supercomputers", ACM SIGOPS Operating Systems Review: Special Issue on File and Storage Systems, Vol. 41, No. 1, pp. 14-18, January 2007.

• J.W. Cobb, A. Geist, J.A. Kohl, S.D. Miller, P.F. Peterson, G.G. Pike, M.A. Reuter, T.Swain, S.S. Vazhkudai, N.N. Vijayakumar, "The Neutron Science TeraGrid Gateway, a TeraGrid Science Gateway to Support the Spallation Neutron Source", in the Journal of Concurrency and Computation: Practice and Experience, Vol. 19, pp. 809-826, 2007.

• S. Vazhkudai, D. Thain, X. Ma, V. Freeh, "Positioning Dynamic Storage Caches for Transient Data", in Proceedings of the International Workshop on High Performance I/O Techniques and Deployment of Very Large Scale I/O Systems (HiperIO'06 at IEEE Cluster Computing), Barcelona, Spain, September 2006.

• X. Ma, S. Vazhkudai, V. Freeh, T.A. Simon, T. Yang, S.L. Scott, "Coupling Prefix Caching and Collective Downloads for Remote Data Access", in the Proceedings of the 20th ACM International Conference on Supercomputing (ICS06), pp. 229-238, Cairns, Australia, June 2006.

• S. Vazhkudai, X. Ma, V. Freeh, J. Strickland, N. Tammineedi, T.A. Simon, S.L. Scott, "Constructing Collaborative Desktop Storage Caches for Large Scientific Datasets", in the ACM Transactions on Storage (TOS),Vol. 2, No. 3, pp. 221-254, August 2006.

• V.W. Freeh, X. Ma, S. Vazhkudai, J. Strickland, "Controlling Impact While Aggressively Scavenging Idle Resources", in the Journal of Cluster Computing, Oct 2006.

• S. Vazhkudai, X. Ma, V. Freeh, J. Strickland, N. Tammineedi, S.L. Scott, "FreeLoader: Scavenging Desktop Storage Resources for Scientific Data", Proceedings of Supercomputing 2005 (SC'05): Int'l Conference on High Performance Computing, Networking and Storage, Seattle, Washington, November 2005.

• V. Freeh, X. Ma, J. Strickland, S. Vazhkudai, "Synergetic Resource Stealing: We Promise It Will Not Hurt Much", ORNL Technical Report P05-123434, May 2005. pdf

• J. Strickland, V. Freeh, X. Ma and S. Vazhkudai, "Governor: Autonomic Throttling for Aggressive Idle Resource Scavenging", 2nd IEEE International Conference on Autonomic Computing (ICAC 2005), Seattle, Washington, 2005.

• S. Vazhkudai, "On-demand Grid Storage using Scavenging", New Trends in Distributed Data Access, Las Vegas, Nevada, June 2004.

• S. Vazhkudai, "Orchestrating Bulk Data Movement in Grid Environments", ORNL Technical Report R04-121317, September 2004.

• S. Vazhkudai, "Distributed Downloads of Bulk, Replicated Grid Data", Journal of Grid Computing, No. 2, pp. 31-42, 2004.

• S. Vazhkudai, "Enabling the Co-Allocation of Grid Data Transfers", 4th International Workshop on Grid Computing (GRID 2003), Phoenix, Arizona, November 2003.

• S. Vazhkudai, "Bulk Data Transfer Forecasts and Implications to Grid Scheduling", Ph.D. Dissertation, The University of Mississippi, May 2003.

• S. Vazhkudai, J. Schopf, "Using Regression Techniques to Predict Large Data Transfers", Journal of High Performance Computing Applications - Special Issue on Grid Computing: Infrastructure and Applications, Vol 17. No. 3, pp. 249-268, 2003.

• S. Vazhkudai, J. Schopf, "Using Disk Throughput data in Predictions of End-to-End Grid Transfers", 3rd International Workshop on Grid Computing (GRID 2002), Baltimore, Maryland, November 2002.

• S. Vazhkudai, J. Schopf, "Predicting Sporadic Grid Data Transfers ", 11th IEEE Int'l Symposium on High Performance Distributed Computing (HPDC-11), Edinburgh, Scotland,, July 2002.

• S. Vazhkudai, J. Schopf, I. Foster, "Predicting the Performance of Wide-Area Data Transfers", 16th Int'l Parallel and Distributed Processing Symposium (IPDPS 2002), Fort Lauderdale, Florida, April 2002.

• S. Vazhkudai, J.M. Syed, P.T. Maginnis, "PODOS - The Design and Implementation of a Performance Oriented Linux Cluster", Journal of Future Generation Computer Systems - Special Issue on Cluster Computing, 2002.

• S. Vazhkudai, S. Tuecke, I. Foster, "Replica Selection in the Globus Data Grid", IEEE International Conference on Cluster Computing and the Grid (CCGRID 2001), Brisbane, Australia, May 2001.

• R. Buyya, S. Vazhkudai, "Compute Power Market: Towards a Market-Oriented Grid", IEEE Session on Global Computing on Personal Devices (In conjunction with CCGRID 2001), Brisbane, Australia, May 2001.

• S. Vazhkudai, G.V. Laszewski, "A Greedy Grid - The Grid Economic Engine Directive", IEEE Conference on Internet Computing and E-Commerce, (ICEC 01 In conjunction with IPDPS 2000), San Francisco, CA, April 2001.

• S. Vazhkudai, S. Tuecke "A Storage Broker for the Globus Environment - A ClassAd Based Implementation", Poster in Supercomputing 2000, Dallas, Texas, Nov 2000.

• S. Vazhkudai, P.T. Maginnis, "The PODOS File System - Exploiting the High-Speed Communication Subsystem", IEEE Int'l Workshop on Cluster Computing -- Technologies, Environments, & Applications, (CC-TEA'2000, In conjunction with PDPTA2000) , Las Vegas, Nevada, June 2000.

• S. Vazhkudai, H.C. Cunningham, "A Reusable Software Framework for Distributed Decision-Making Protocols", Workshop on Distributed Objects in Computational Science (DOCS'2000, In conjunction with PDPTA2000), Las Vegas, Nevada, June 2000.

• S. Vazhkudai, P.T. Maginnis, "A High Performance Communication Subsystem for PODOS", First International IEEE Conference on Cluster Computing, Melbourne, Australia, December 1999.

• S. Vazhkudai, P.T. Maginnis, "Distributed Linux: Evolutionary Steps" Technical Report CISE TR 1998-22, University of Mississippi, MS, December 1998.