Sudharshan S. Vazhkudai

Publication Activity (10 Years)

Years Active: 2006-2021
Publications (10 Years): 29

Top Topics

Lessons Learned

Regression Model

Top Venues

IEEE Trans. Parallel Distributed Syst.

Publications

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)
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 (2021)
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)
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)
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)
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) (2020)
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)
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)
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)
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)
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)
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) (2019)
Hyogi Sim, Sudharshan S. Vazhkudai
Profiling the Usage of an Extreme-Scale Archival Storage System. MASCOTS (2019)
Sangkuen 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) (2019)
Harsh Khetawat, Christopher Zimmer, Frank Mueller, Scott Atchley, Sudharshan S. Vazhkudai, Misbah Mubarak
Evaluating Burst Buffer Placement in HPC Systems. CLUSTER (2019)
Christopher Zimmer, Don Maxwell, Stephen McNally, Scott Atchley, Sudharshan S. Vazhkudai
GPU age-aware scheduling to improve the reliability of leadership jobs on Titan. SC (2018)
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)
Kun Tang, Xubin He, Saurabh Gupta, Sudharshan S. Vazhkudai, Devesh Tiwari
Exploring the Optimal Platform Configuration for Power-Constrained HPC Workflows. ICCCN (2018)
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)
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)
Sangkuen Lee, Sudharshan S. Vazhkudai, Raghul Gunasekaran
Applying Graph Analytics to Understand Compute Core Usage and Publication Trends in a Petascale Supercomputing Facility. HiPC (2017)
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)
Sangkuen Lee, Hyogi Sim, Youngjae Kim, Sudharshan S. Vazhkudai
AnalyzeThat: A Programmable Shared-Memory System for an Array of Processing-In-Memory Devices. CCGrid (2017)
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)
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)
Seung-Hwan Lim, Hyogi Sim, Raghul Gunasekaran, Sudharshan S. Vazhkudai
Scientific user behavior and data-sharing trends in a petascale file system. SC (2017)
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)
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)
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)
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)
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)
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)
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)
Devesh Tiwari, Saurabh Gupta, Sudharshan S. Vazhkudai
Lazy Checkpointing: Exploiting Temporal Locality in Failures to Mitigate Checkpointing Overheads on Extreme-Scale Systems. DSN (2014)
Yang Liu, Raghul Gunasekaran, Xiaosong Ma, Sudharshan S. Vazhkudai
Automatic identification of application I/O signatures from noisy server-side traces. FAST (2014)
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)
Henry M. Monti, Ali Raza Butt, Sudharshan S. Vazhkudai
On Timely Staging of HPC Job Input Data. IEEE Trans. Parallel Distributed Syst. 24 (9) (2013)
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)
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)
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)
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)
Simona Boboila, Youngjae Kim, Sudharshan S. Vazhkudai, Peter Desnoyers, Galen M. Shipman
Active Flash: Out-of-core data analytics on flash storage. MSST (2012)
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) (2011)
Henry M. Monti, Ali Raza Butt, Sudharshan S. Vazhkudai
CATCH: A Cloud-Based Adaptive Data Transfer Service for HPC. IPDPS (2011)
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)
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)
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)
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) (2009)
Henry M. Monti, Ali Raza Butt, Sudharshan S. Vazhkudai
/scratch as a cache: rethinking HPC center scratch storage. ICS (2009)
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) (2009)
Chao Wang, Zhe Zhang, Sudharshan S. Vazhkudai, Xiaosong Ma, Frank Mueller
On-the-Fly Recovery of Job Input Data in Supercomputers. ICPP (2008)
Matei Ripeanu, Munindar P. Singh, Sudharshan S. Vazhkudai
Virtual Organizations [Guest Editors' Introduction]. IEEE Internet Comput. 12 (2) (2008)
Henry M. Monti, Ali Raza Butt, Sudharshan S. Vazhkudai
Timely offloading of result-data in HPC centers. ICS (2008)
Samer Al-Kiswany, Matei Ripeanu, Sudharshan S. Vazhkudai, Abdullah Gharaibeh
stdchk: A Checkpoint Storage System for Desktop Grid Computing. ICDCS (2008)
Henry M. Monti, Ali Raza Butt, Sudharshan S. Vazhkudai
A result-data offloading service for HPC centers. PDSW (2007)
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) (2007)
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)
Sudharshan S. Vazhkudai, James Arthur Kohl, Jens Schwidder
A Java-based science portal for neutron scattering experiments. PPPJ (2007)
Samer Al-Kiswany, Matei Ripeanu, Sudharshan S. Vazhkudai
A Checkpoint Storage System for Desktop Grid Computing CoRR (2007)
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) (2006)
Sudharshan S. Vazhkudai, Douglas Thain, Xiaosong Ma, Vincent W. Freeh
Positioning Dynamic Storage Caches for Transient Data. CLUSTER (2006)