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ORCIDSudharshan S. Vazhkudai
Sudharshan Vazhkudai
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2020 – today
- 2022
[c67]Moiz Arif, Kevin Assogba
, M. Mustafa Rafique, Sudharshan Vazhkudai:
Exploiting CXL-based Memory for Distributed Deep Learning. ICPP 2022: 19:1-19:11- 2021
- [j16]Awais Khan, Hyogi Sim, Sudharshan S. Vazhkudai, Youngjae Kim:
MOSIQS: Persistent Memory Object Storage With Metadata Indexing and Querying for Scientific Computing. IEEE Access 9: 85217-85231 (2021) - [c66]Awais Khan, Hyogi Sim, Sudharshan S. Vazhkudai, Ali Raza Butt, Youngjae Kim:
An Analysis of System Balance and Architectural Trends Based on Top500 Supercomputers. HPC Asia 2021: 11-22 - [c65]Bing Xie, Zilong Tan, Philip H. Carns, Jeffrey S. Chase, Kevin Harms, Jay F. Lofstead, Sarp Oral, Sudharshan S. Vazhkudai, Feiyi Wang:
Interpreting Write Performance of Supercomputer I/O Systems with Regression Models. IPDPS 2021: 557-566 - [c64]Wei Zhang, Suren Byna, Hyogi Sim, Sangkeun Lee, Sudharshan Vazhkudai, Yong Chen:
Exploiting user activeness for data retention in HPC systems. SC 2021: 102 - 2020
- [j15]Hyogi Sim, Awais Khan, Sudharshan S. Vazhkudai, Seung-Hwan Lim, Ali Raza Butt, Youngjae Kim:
An Integrated Indexing and Search Service for Distributed File Systems. IEEE Trans. Parallel Distributed Syst. 31(10): 2375-2391 (2020) - [c63]Jingoo Han, M. Mustafa Rafique, Luna Xu, Ali Raza Butt, Seung-Hwan Lim, Sudharshan S. Vazhkudai:
MARBLE: A Multi-GPU Aware Job Scheduler for Deep Learning on HPC Systems. CCGRID 2020: 272-281 - [c62]Seung-Hwan Lim, Ross G. Miller, Sudharshan S. Vazhkudai:
Understanding the Interplay between Hardware Errors and User Job Characteristics on the Titan Supercomputer. IPDPS 2020: 180-190 - [c61]Awais Khan, Hyogi Sim, Sudharshan S. Vazhkudai, Jin-Suk Ma, Myeong-Hoon Oh, Youngjae Kim:
Persistent Memory Object Storage and Indexing for Scientific Computing. MCHPC@SC 2020: 1-9
2010 – 2019
- 2019
- [j14]Sangkeun Lee, Hyogi Sim, Youngjae Kim, Sudharshan S. Vazhkudai:
A programmable shared-memory system for an array of processing-in-memory devices. Clust. Comput. 22(2): 385-398 (2019) - [j13]Hyogi Sim, Geoffroy Vallée, Youngjae Kim, Sudharshan S. Vazhkudai, Devesh Tiwari, Ali Raza Butt:
An Analysis Workflow-Aware Storage System for Multi-Core Active Flash Arrays. IEEE Trans. Parallel Distributed Syst. 30(2): 271-285 (2019) - [c60]Harsh Khetawat, Christopher Zimmer, Frank Mueller, Scott Atchley, Sudharshan S. Vazhkudai, Misbah Mubarak:
Evaluating Burst Buffer Placement in HPC Systems. CLUSTER 2019: 1-11 - [c59]Woong Shin, Christopher Brumgard, Bing Xie, Sudharshan S. Vazhkudai, Devarshi Ghoshal, Sarp Oral, Lavanya Ramakrishnan:
Data Jockey: Automatic Data Management for HPC Multi-tiered Storage Systems. IPDPS 2019: 511-522 - [c58]Hazem A. Abdelhafez, Christopher Zimmer, Sudharshan S. Vazhkudai, Matei Ripeanu:
AHEAD: A Tool for Projecting Next-Generation Hardware Enhancements on GPU-Accelerated Systems. IPDPS Workshops 2019: 583-592 - [c57]Hyogi Sim, Sudharshan S. Vazhkudai:
Profiling the Usage of an Extreme-Scale Archival Storage System. MASCOTS 2019: 410-422 - [c56]Bing Xie, Zilong Tan, Philip H. Carns, Jeffrey S. Chase, Kevin Harms, Jay F. Lofstead, Sarp Oral, Sudharshan S. Vazhkudai, Feiyi Wang:
Applying Machine Learning to Understand Write Performance of Large-scale Parallel Filesystems. PDSW@SC 2019: 30-39 - [c55]Sarp Oral, Sudharshan S. Vazhkudai, Feiyi Wang, Christopher Zimmer, Christopher Brumgard, Jesse Hanley, George Markomanolis, Ross G. Miller, Dustin Leverman, Scott Atchley, Verónica G. Vergara Larrea:
End-to-end I/O portfolio for the summit supercomputing ecosystem. SC 2019: 63:1-63:14 - 2018
- [c54]Kun Tang, Xubin He, Saurabh Gupta, Sudharshan S. Vazhkudai, Devesh Tiwari:
Exploring the Optimal Platform Configuration for Power-Constrained HPC Workflows. ICCCN 2018: 1-9 - [c53]Christopher Zimmer, Don Maxwell, Stephen Taylor McNally, Scott Atchley, Sudharshan S. Vazhkudai:
GPU age-aware scheduling to improve the reliability of leadership jobs on Titan. SC 2018: 7:1-7:11 - [c52]Sudharshan S. Vazhkudai, Bronis R. de Supinski, Arthur S. Bland, Al Geist, James C. Sexton, Jim Kahle, Christopher Zimmer, Scott Atchley, Sarp Oral, Don E. Maxwell, Verónica 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 S. 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. SC 2018: 52:1-52:12 - 2017
- [c51]Sangkeun Lee, Hyogi Sim, Youngjae Kim, Sudharshan S. Vazhkudai:
AnalyzeThat: A Programmable Shared-Memory System for an Array of Processing-In-Memory Devices. CCGrid 2017: 619-624 - [c50]Kun Tang, Devesh Tiwari, Saurabh Gupta, Sudharshan S. Vazhkudai, Xubin He:
Effective Running of End-to-End HPC Workflows on Emerging Heterogeneous Architectures. CLUSTER 2017: 344-348 - [c49]Sangkeun Lee, Sudharshan S. Vazhkudai, Raghul Gunasekaran:
Applying Graph Analytics to Understand Compute Core Usage and Publication Trends in a Petascale Supercomputing Facility. HiPC 2017: 294-305 - [c48]Kun Tang, Ping Huang, Xubin He, Tao Lu, Sudharshan S. Vazhkudai, Devesh Tiwari:
Toward Managing HPC Burst Buffers Effectively: Draining Strategy to Regulate Bursty I/O Behavior. MASCOTS 2017: 87-98 - [c47]Hyogi Sim, Youngjae Kim, Sudharshan S. Vazhkudai, Geoffroy R. Vallée, Seung-Hwan Lim, Ali Raza Butt:
Tagit: an integrated indexing and search service for file systems. SC 2017: 5 - [c46]Xu Ji, Chao Wang, Nosayba El-Sayed, Xiaosong Ma, Youngjae Kim, Sudharshan S. Vazhkudai, Wei Xue, Daniel Sánchez:
Understanding object-level memory access patterns across the spectrum. SC 2017: 25 - [c45]Sudharshan S. Vazhkudai, Ross G. 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. SC 2017: 45 - [c44]Seung-Hwan Lim, Hyogi Sim, Raghul Gunasekaran, Sudharshan S. Vazhkudai:
Scientific user behavior and data-sharing trends in a petascale file system. SC 2017: 46 - 2016
- [c43]Sudharshan S. Vazhkudai, John Harney, Raghul Gunasekaran, Dale Stansberry, Seung-Hwan Lim, Tom Barron, Andrew Nash, Arvind Ramanathan:
Constellation: A science graph network for scalable data and knowledge discovery in extreme-scale scientific collaborations. IEEE BigData 2016: 3052-3061 - [c42]Sarah Neuwirth, Feiyi Wang, Sarp Oral, Sudharshan Vazhkudai, James H. Rogers, Ulrich Brüning:
Using Balanced Data Placement to Address I/O Contention in Production Environments. SBAC-PAD 2016: 9-17 - [c41]Yang Liu, Raghul Gunasekaran, Xiaosong Ma, Sudharshan S. Vazhkudai:
Server-side log data analytics for I/O workload characterization and coordination on large shared storage systems. SC 2016: 819-829 - [c40]Christopher Zimmer, Saurabh Gupta, Scott Atchley, Sudharshan S. Vazhkudai, Carl Albing:
A multi-faceted approach to job placement for improved performance on extreme-scale systems. SC 2016: 1015-1025 - 2015
- [c39]Devesh Tiwari, Saurabh Gupta, James H. Rogers, Don Maxwell, Paolo Rech, Sudharshan S. Vazhkudai, Daniel Oliveira, Dave Londo, Nathan DeBardeleben, Philippe Olivier Alexandre Navaux, Luigi Carro, Arthur S. Bland:
Understanding GPU errors on large-scale HPC systems and the implications for system design and operation. HPCA 2015: 331-342 - [c38]Hyogi Sim, Youngjae Kim, Sudharshan S. Vazhkudai, Devesh Tiwari, Ali Anwar, Ali Raza Butt, Lavanya Ramakrishnan:
AnalyzeThis: an analysis workflow-aware storage system. SC 2015: 20:1-20:12 - [c37]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. SC 2015: 75:1-75:12 - [r1]Aleksandr Khasymski, M. Mustafa Rafique, Ali Raza Butt, Sudharshan S. Vazhkudai, Dimitrios S. Nikolopoulos:
Realizing Accelerated Cost-Effective Distributed RAID. Handbook on Data Centers 2015: 729-752 - 2014
- [c36]Devesh Tiwari, Saurabh Gupta, Sudharshan S. Vazhkudai:
Lazy Checkpointing: Exploiting Temporal Locality in Failures to Mitigate Checkpointing Overheads on Extreme-Scale Systems. DSN 2014: 25-36 - [c35]Yang Liu, Raghul Gunasekaran, Xiaosong Ma, Sudharshan S. Vazhkudai:
Automatic identification of application I/O signatures from noisy server-side traces. FAST 2014: 213-228 - [c34]Feiyi Wang, Sarp Oral, Saurabh Gupta, Devesh Tiwari, Sudharshan S. Vazhkudai:
Improving large-scale storage system performance via topology-aware and balanced data placement. ICPADS 2014: 656-663 - [c33]Sarp Oral, James Simmons, Jason Hill, Dustin Leverman, Feiyi Wang, Matthew A. Ezell, Ross G. 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. SC 2014: 217-228 - 2013
- [j12]Henry M. Monti, Ali Raza Butt, Sudharshan S. Vazhkudai:
On Timely Staging of HPC Job Input Data. IEEE Trans. Parallel Distributed Syst. 24(9): 1841-1851 (2013) - [c32]Devesh Tiwari, Simona Boboila, Sudharshan S. Vazhkudai, Youngjae Kim, Xiaosong Ma, Peter Desnoyers, Yan Solihin:
Active flash: towards energy-efficient, in-situ data analytics on extreme-scale machines. FAST 2013: 119-132 - 2012
- [c31]Chao Wang, Sudharshan S. Vazhkudai, Xiaosong Ma, Fei Meng, Youngjae Kim, Christian Engelmann:
NVMalloc: Exposing an Aggregate SSD Store as a Memory Partition in Extreme-Scale Machines. IPDPS 2012: 957-968 - [c30]Aleksandr Khasymski, M. Mustafa Rafique, Ali Raza Butt, Sudharshan S. Vazhkudai, Dimitrios S. Nikolopoulos:
On the Use of GPUs in Realizing Cost-Effective Distributed RAID. MASCOTS 2012: 469-478 - [c29]Simona Boboila, Youngjae Kim, Sudharshan S. Vazhkudai, Peter Desnoyers, Galen M. Shipman:
Active Flash: Out-of-core data analytics on flash storage. MSST 2012: 1-12 - [c28]Devesh Tiwari, Sudharshan S. Vazhkudai, Youngjae Kim, Xiaosong Ma, Simona Boboila, Peter Desnoyers:
Reducing Data Movement Costs Using Energy-Efficient, Active Computation on SSD. HotPower 2012 - 2011
- [j11]Henry M. Monti, Ali Raza Butt, Sudharshan S. Vazhkudai:
Timely Result-Data Offloading for Improved HPC Center Scratch Provisioning and Serviceability. IEEE Trans. Parallel Distributed Syst. 22(8): 1307-1322 (2011) - [c27]Ramya Prabhakar, Sudharshan S. Vazhkudai, Youngjae Kim, Ali Raza Butt, Min Li, Mahmut T. Kandemir:
Provisioning a Multi-tiered Data Staging Area for Extreme-Scale Machines. ICDCS 2011: 1-12 - [c26]Henry M. Monti, Ali Raza Butt, Sudharshan S. Vazhkudai:
CATCH: A Cloud-Based Adaptive Data Transfer Service for HPC. IPDPS 2011: 1242-1253 - 2010
- [c25]Henry M. Monti, Ali Raza Butt, Sudharshan S. Vazhkudai:
Reconciling scratch space consumption, exposure, and volatility to achieve timely staging of job input data. IPDPS 2010: 1-12 - [c24]Min Li, Sudharshan S. Vazhkudai, Ali Raza Butt, Fei Meng, Xiaosong Ma, Youngjae Kim, Christian Engelmann, Galen M. Shipman:
Functional Partitioning to Optimize End-to-End Performance on Many-core Architectures. SC 2010: 1-12
2000 – 2009
- 2009
- [j10]Samer Al-Kiswany, Matei Ripeanu, Adriana Iamnitchi, Sudharshan Vazhkudai:
Beyond Music Sharing: An Evaluation of Peer-to-Peer Data Dissemination Techniques in Large Scientific Collaborations. J. Grid Comput. 7(1): 91-114 (2009) - [j9]Xiaosong Ma, Sudharshan S. Vazhkudai, Zhe Zhang:
Improving Data Availability for Better Access Performance: A Study on Caching Scientific Data on Distributed Desktop Workstations. J. Grid Comput. 7(4): 419-438 (2009) - [j8]Chao Wang, Zhe Zhang, Xiaosong Ma, Sudharshan S. Vazhkudai, Frank Mueller:
Improving the availability of supercomputer job input data using temporal replication. Comput. Sci. Res. Dev. 23(3-4): 149-157 (2009) - [c23]Henry M. Monti, Ali Raza Butt, Sudharshan S. Vazhkudai:
/scratch as a cache: rethinking HPC center scratch storage. ICS 2009: 350-359 - 2008
- [j7]Matei Ripeanu, Munindar P. Singh, Sudharshan S. Vazhkudai:
Virtual Organizations [Guest Editors' Introduction]. IEEE Internet Comput. 12(2): 10-12 (2008) - [c22]Samer Al-Kiswany, Matei Ripeanu, Sudharshan S. Vazhkudai, Abdullah Gharaibeh:
stdchk: A Checkpoint Storage System for Desktop Grid Computing. ICDCS 2008: 613-624 - [c21]Chao Wang, Zhe Zhang, Sudharshan S. Vazhkudai, Xiaosong Ma, Frank Mueller:
On-the-Fly Recovery of Job Input Data in Supercomputers. ICPP 2008: 620-627 - [c20]Henry M. Monti, Ali Raza Butt, Sudharshan S. Vazhkudai:
Timely offloading of result-data in HPC centers. ICS 2008: 124-133 - 2007
- [j6]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:
The Neutron Science TeraGrid Gateway: a TeraGrid science gateway to support the Spallation Neutron Source. Concurr. Comput. Pract. Exp. 19(6): 809-826 (2007) - [j5]Sudharshan Vazhkudai, Xiaosong Ma:
Recovering transient data: automated on-demand data reconstruction and offloading for supercomputers. ACM SIGOPS Oper. Syst. Rev. 41(1): 14-18 (2007) - [c19]Samer Al-Kiswany, Matei Ripeanu, Adriana Iamnitchi, Sudharshan Vazhkudai:
Are P2P Data-Dissemination Techniques Viable in Today's Data-Intensive Scientific Collaborations? Euro-Par 2007: 404-414 - [c18]Sudharshan S. Vazhkudai, James Arthur Kohl, Jens Schwidder:
A Java-based science portal for neutron scattering experiments. PPPJ 2007: 21-30 - [c17]Henry M. Monti, Ali Raza Butt, Sudharshan S. Vazhkudai:
A result-data offloading service for HPC centers. PDSW 2007: 45-49 - [c16]Zhe Zhang, Chao Wang, Sudharshan S. Vazhkudai, Xiaosong Ma, Gregory G. Pike, John W. Cobb, Frank Mueller:
Optimizing center performance through coordinated data staging, scheduling and recovery. SC 2007: 55 - [i3]Samer Al-Kiswany, Matei Ripeanu, Sudharshan S. Vazhkudai:
A Checkpoint Storage System for Desktop Grid Computing. CoRR abs/0706.3546 (2007) - 2006
- [j4]Sudharshan S. Vazhkudai, Xiaosong Ma, Vincent W. Freeh, Jonathan W. Strickland, Nandan Tammineedi, Tyler A. Simon, Stephen L. Scott:
Constructing collaborative desktop storage caches for large scientific datasets. ACM Trans. Storage 2(3): 221-254 (2006) - [c15]Sudharshan S. Vazhkudai, Douglas Thain, Xiaosong Ma, Vincent W. Freeh:
Positioning Dynamic Storage Caches for Transient Data. CLUSTER 2006 - [c14]Xiaosong Ma, Vincent W. Freeh, Tao Yang, Sudharshan Vazhkudai, Tyler A. Simon, Stephen L. Scott:
Coupling prefix caching and collective downloads for remote dataset access. ICS 2006: 229-238 - 2005
- [c13]Jonathan W. Strickland, Vincent W. Freeh, Xiaosong Ma, Sudharshan Vazhkudai:
Governor: Autonomic Throttling for Aggressive Idle Resource Scavenging. ICAC 2005: 64-75 - [c12]Sudharshan Vazhkudai, Xiaosong Ma, Vincent W. Freeh, Jonathan W. Strickland, Nandan Tammineedi, Stephen L. Scott:
FreeLoader: Scavenging Desktop Storage Resources for Scientific Data. SC 2005: 56 - 2004
- [j3]Sudharshan Vazhkudai:
Distributed Downloads of Bulk, Replicated Grid Data. J. Grid Comput. 2(1): 31-42 (2004) - [c11]Sudharshan Vazhkudai:
On-demand Grid Storage Using Scavenging. PDPTA 2004: 554-560 - 2003
- [j2]Sudharshan Vazhkudai, Jennifer M. Schopf:
Using Regression Techniques to Predict Large Data Transfers. Int. J. High Perform. Comput. Appl. 17(3): 249-268 (2003) - [c10]Sudharshan Vazhkudai:
Enabling the Co-Allocation of Grid Data Transfers. GRID 2003: 44-51 - [i2]Sudharshan Vazhkudai, Jennifer M. Schopf:
Using Regression Techniques to Predict Large Data Transfers. CoRR cs.DC/0304037 (2003) - 2002
- [j1]Sudharshan Vazhkudai, Jeelani Syed, P. Tobin Maginnis:
PODOS -- The design and implementation of a performance oriented Linux cluster. Future Gener. Comput. Syst. 18(3): 335-352 (2002) - [c9]Sudharshan Vazhkudai, Jennifer M. Schopf:
Using Disk Throughput Data in Predictions of End-to-End Grid Data Transfers. GRID 2002: 291-304 - [c8]Sudharshan Vazhkudai, Jennifer M. Schopf:
Predicting Sporadic Grid Data Transfers. HPDC 2002: 188- - [c7]Sudharshan Vazhkudai, Jennifer M. Schopf, Ian T. Foster:
Predicting the Performance of Wide Area Data Transfers. IPDPS 2002 - 2001
- [c6]Sudharshan Vazhkudai, Steven Tuecke, Ian T. Foster:
Replica Selection in the Globus Data Grid. CCGRID 2001: 106-113 - [c5]Rajkumar Buyya, Sudharshan Vazhkudai:
Compute Power Market: Towards a Market-Oriented Grid. CCGRID 2001: 574-581 - [c4]Sudharshan Vazhkudai, Gregor von Laszewski:
A Greedy Grid: The Grid Economic Engine Directive. IPDPS 2001: 173 - [i1]Sudharshan Vazhkudai, Steven Tuecke, Ian T. Foster:
Replica Selection in the Globus Data Grid. CoRR cs.DC/0104002 (2001) - 2000
- [c3]Sudharshan Vazhkudai, H. Conrad Cunningham:
A Reusable Software Framework for Distributed Decision-Making Protocols. PDPTA 2000 - [c2]Sudharshan Vazhkudai, P. Tobin Maginnis:
The PODOS File System - Exploiting the High-Speed Communication Subsystem. PDPTA 2000
1990 – 1999
- 1999
- [c1]Sudharshan Vazhkudai, P. Tobin Maginnis:
A High Performance Communication Subsystem for PODOS. IWCC 1999: 81-91
Coauthor Index
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