Sudharshan S. Vazhkudai

According to our database, Sudharshan S. Vazhkudai authored at least 85 papers between 1999 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Exploiting CXL-based Memory for Distributed Deep Learning.

Moiz Arif, Kevin Assogba, M. Mustafa Rafique, Sudharshan Vazhkudai

Proceedings of the 51st International Conference on Parallel Processing, 2022

2021

MOSIQS: Persistent Memory Object Storage With Metadata Indexing and Querying for Scientific Computing.

Awais Khan, Hyogi Sim, Sudharshan S. Vazhkudai, Youngjae Kim

IEEE Access, 2021

Exploiting user activeness for data retention in HPC systems.

Wei Zhang, Suren Byna, Hyogi Sim, Sangkeun Lee, Sudharshan Vazhkudai, Yong Chen

Proceedings of the International Conference for High Performance Computing, 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

Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

An Analysis of System Balance and Architectural Trends Based on Top500 Supercomputers.

Awais Khan, Hyogi Sim, Sudharshan S. Vazhkudai, Ali Raza Butt, Youngjae Kim

Proceedings of the HPC Asia 2021: The International Conference on High Performance Computing in Asia-Pacific Region, 2021

2020

An Integrated Indexing and Search Service for Distributed File Systems.

Hyogi Sim, Awais Khan, Sudharshan S. Vazhkudai, Seung-Hwan Lim, Ali Raza Butt, Youngjae Kim

IEEE Trans. Parallel Distributed Syst., 2020

Persistent Memory Object Storage and Indexing for Scientific Computing.

Awais Khan, Hyogi Sim, Sudharshan S. Vazhkudai, Jin-Suk Ma, Myeong-Hoon Oh, Youngjae Kim

Proceedings of the IEEE/ACM Workshop on Memory Centric High Performance Computing, 2020

Understanding the Interplay between Hardware Errors and User Job Characteristics on the Titan Supercomputer.

Seung-Hwan Lim, Ross G. Miller, Sudharshan S. Vazhkudai

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

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

Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020

2019

An Analysis Workflow-Aware Storage System for Multi-Core Active Flash Arrays.

Hyogi Sim, Geoffroy Vallée, Youngjae Kim, Sudharshan S. Vazhkudai, Devesh Tiwari, Ali Raza Butt

IEEE Trans. Parallel Distributed Syst., 2019

A programmable shared-memory system for an array of processing-in-memory devices.

Sangkeun Lee, Hyogi Sim, Youngjae Kim, Sudharshan S. Vazhkudai

Clust. Comput., 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

Proceedings of the IEEE/ACM Fourth International Parallel Data Systems Workshop, 2019

End-to-end I/O portfolio for the summit supercomputing ecosystem.

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

Proceedings of the International Conference for High Performance Computing, 2019

Profiling the Usage of an Extreme-Scale Archival Storage System.

Hyogi Sim, Sudharshan S. Vazhkudai

Proceedings of the 27th IEEE International Symposium on Modeling, 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

Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

AHEAD: A Tool for Projecting Next-Generation Hardware Enhancements on GPU-Accelerated Systems.

Hazem A. Abdelhafez, Christopher Zimmer, Sudharshan S. Vazhkudai, Matei Ripeanu

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

Evaluating Burst Buffer Placement in HPC Systems.

Harsh Khetawat, Christopher Zimmer, Frank Mueller, Scott Atchley, Sudharshan S. Vazhkudai, Misbah Mubarak

Proceedings of the 2019 IEEE International Conference on Cluster Computing, 2019

2018

GPU age-aware scheduling to improve the reliability of leadership jobs on Titan.

Christopher Zimmer, Don Maxwell, Stephen Taylor McNally, Scott Atchley, Sudharshan S. Vazhkudai

Proceedings of the International Conference for High Performance Computing, 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, 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

Proceedings of the International Conference for High Performance Computing, 2018

Exploring the Optimal Platform Configuration for Power-Constrained HPC Workflows.

Kun Tang, Xubin He, Saurabh Gupta, Sudharshan S. Vazhkudai, Devesh Tiwari

Proceedings of the 27th International Conference on Computer Communication and Networks, 2018

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, Feiyi Wang, Sarp Oral, Raghul Gunasekaran, Deryl Steinert

Proceedings of the International Conference for High Performance Computing, 2017

Tagit: an integrated indexing and search service for file systems.

Hyogi Sim, Youngjae Kim, Sudharshan S. Vazhkudai, Geoffroy R. Vallée, Seung-Hwan Lim, Ali Raza Butt

Proceedings of the International Conference for High Performance Computing, 2017

Scientific user behavior and data-sharing trends in a petascale file system.

Seung-Hwan Lim, Hyogi Sim, Raghul Gunasekaran, Sudharshan S. Vazhkudai

Proceedings of the International Conference for High Performance Computing, 2017

Understanding object-level memory access patterns across the spectrum.

Xu Ji, Chao Wang, Nosayba El-Sayed, Xiaosong Ma, Youngjae Kim, Sudharshan S. Vazhkudai, Wei Xue, Daniel Sánchez

Proceedings of the International Conference for High Performance Computing, 2017

Toward Managing HPC Burst Buffers Effectively: Draining Strategy to Regulate Bursty I/O Behavior.

Kun Tang, Ping Huang, Xubin He, Tao Lu, Sudharshan S. Vazhkudai, Devesh Tiwari

Proceedings of the 25th IEEE International Symposium on Modeling, 2017

Applying Graph Analytics to Understand Compute Core Usage and Publication Trends in a Petascale Supercomputing Facility.

Sangkeun Lee, Sudharshan S. Vazhkudai, Raghul Gunasekaran

Proceedings of the 24th IEEE International Conference on High Performance Computing, 2017

Effective Running of End-to-End HPC Workflows on Emerging Heterogeneous Architectures.

Kun Tang, Devesh Tiwari, Saurabh Gupta, Sudharshan S. Vazhkudai, Xubin He

Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

AnalyzeThat: A Programmable Shared-Memory System for an Array of Processing-In-Memory Devices.

Sangkeun Lee, Hyogi Sim, Youngjae Kim, Sudharshan S. Vazhkudai

Proceedings of the 17th IEEE/ACM International Symposium on Cluster, 2017

2016

A multi-faceted approach to job placement for improved performance on extreme-scale systems.

Christopher Zimmer, Saurabh Gupta, Scott Atchley, Sudharshan S. Vazhkudai, Carl Albing

Proceedings of the International Conference for High Performance Computing, 2016

Server-side log data analytics for I/O workload characterization and coordination on large shared storage systems.

Yang Liu, Raghul Gunasekaran, Xiaosong Ma, Sudharshan S. Vazhkudai

Proceedings of the International Conference for High Performance Computing, 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

Proceedings of the 28th International Symposium on Computer Architecture and High Performance Computing, 2016

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

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

Realizing Accelerated Cost-Effective Distributed RAID.

Aleksandr Khasymski, M. Mustafa Rafique, Ali Raza Butt, Sudharshan S. Vazhkudai, Dimitrios S. Nikolopoulos

Proceedings of the Handbook on Data Centers, 2015

A practical approach to reconciling availability, performance, and capacity in provisioning extreme-scale storage systems.

Lipeng Wan, Feiyi Wang, Sarp Oral, Devesh Tiwari, Sudharshan S. Vazhkudai, Qing Cao

Proceedings of the International Conference for High Performance Computing, 2015

AnalyzeThis: an analysis workflow-aware storage system.

Hyogi Sim, Youngjae Kim, Sudharshan S. Vazhkudai, Devesh Tiwari, Ali Anwar, Ali Raza Butt, Lavanya Ramakrishnan

Proceedings of the International Conference for High Performance Computing, 2015

Understanding GPU errors on large-scale HPC systems and the implications for system design and operation.

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

Proceedings of the 21st IEEE International Symposium on High Performance Computer Architecture, 2015

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, Saurabh Gupta, Devesh Tiwari, Sudharshan S. Vazhkudai, James H. Rogers, David Dillow, Galen M. Shipman, Arthur S. Bland

Proceedings of the International Conference for High Performance Computing, 2014

Improving large-scale storage system performance via topology-aware and balanced data placement.

Feiyi Wang, Sarp Oral, Saurabh Gupta, Devesh Tiwari, Sudharshan S. Vazhkudai

Proceedings of the 20th IEEE International Conference on Parallel and Distributed Systems, 2014

Automatic identification of application I/O signatures from noisy server-side traces.

Yang Liu, Raghul Gunasekaran, Xiaosong Ma, Sudharshan S. Vazhkudai

Proceedings of the 12th USENIX conference on File and Storage Technologies, 2014

Lazy Checkpointing: Exploiting Temporal Locality in Failures to Mitigate Checkpointing Overheads on Extreme-Scale Systems.

Devesh Tiwari, Saurabh Gupta, Sudharshan S. Vazhkudai

Proceedings of the 44th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2014

2013

On Timely Staging of HPC Job Input Data.

Henry M. Monti, Ali Raza Butt, Sudharshan S. Vazhkudai

IEEE Trans. Parallel Distributed Syst., 2013

Active flash: towards energy-efficient, in-situ data analytics on extreme-scale machines.

Devesh Tiwari, Simona Boboila, Sudharshan S. Vazhkudai, Youngjae Kim, Xiaosong Ma, Peter Desnoyers, Yan Solihin

Proceedings of the 11th USENIX conference on File and Storage Technologies, 2013

2012

Reducing Data Movement Costs Using Energy-Efficient, Active Computation on SSD.

Devesh Tiwari, Sudharshan S. Vazhkudai, Youngjae Kim, Xiaosong Ma, Simona Boboila, Peter Desnoyers

Proceedings of the 2012 Workshop on Power-Aware Computing Systems, HotPower'12, 2012

Active Flash: Out-of-core data analytics on flash storage.

Simona Boboila, Youngjae Kim, Sudharshan S. Vazhkudai, Peter Desnoyers, Galen M. Shipman

Proceedings of the IEEE 28th Symposium on Mass Storage Systems and Technologies, 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

Proceedings of the 20th IEEE International Symposium on Modeling, 2012

NVMalloc: Exposing an Aggregate SSD Store as a Memory Partition in Extreme-Scale Machines.

Chao Wang, Sudharshan S. Vazhkudai, Xiaosong Ma, Fei Meng, Youngjae Kim, Christian Engelmann

Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium, 2012

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

CATCH: A Cloud-Based Adaptive Data Transfer Service for HPC.

Henry M. Monti, Ali Raza Butt, Sudharshan S. Vazhkudai

Proceedings of the 25th IEEE International Symposium on Parallel and Distributed Processing, 2011

Provisioning a Multi-tiered Data Staging Area for Extreme-Scale Machines.

Ramya Prabhakar, Sudharshan S. Vazhkudai, Youngjae Kim, Ali Raza Butt, Min Li, Mahmut T. Kandemir

Proceedings of the 2011 International Conference on Distributed Computing Systems, 2011

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, Christian Engelmann, Galen M. Shipman

Proceedings of the Conference on High Performance Computing Networking, 2010

Reconciling scratch space consumption, exposure, and volatility to achieve timely staging of job input data.

Henry M. Monti, Ali Raza Butt, Sudharshan S. Vazhkudai

Proceedings of the 24th IEEE International Symposium on Parallel and Distributed Processing, 2010

2009

Improving the availability of supercomputer job input data using temporal replication.

Chao Wang, Zhe Zhang, Xiaosong Ma, Sudharshan S. Vazhkudai, Frank Mueller

Comput. Sci. Res. Dev., 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

J. Grid Comput., 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

/scratch as a cache: rethinking HPC center scratch storage.

Henry M. Monti, Ali Raza Butt, Sudharshan S. Vazhkudai

Proceedings of the 23rd international conference on Supercomputing, 2009

2008

Virtual Organizations [Guest Editors' Introduction].

Matei Ripeanu, Munindar P. Singh, Sudharshan S. Vazhkudai

IEEE Internet Comput., 2008

Timely offloading of result-data in HPC centers.

Henry M. Monti, Ali Raza Butt, Sudharshan S. Vazhkudai

Proceedings of the 22nd Annual International Conference on Supercomputing, 2008

On-the-Fly Recovery of Job Input Data in Supercomputers.

Chao Wang, Zhe Zhang, Sudharshan S. Vazhkudai, Xiaosong Ma, Frank Mueller

Proceedings of the 2008 International Conference on Parallel Processing, 2008

stdchk: A Checkpoint Storage System for Desktop Grid Computing.

Samer Al-Kiswany, Matei Ripeanu, Sudharshan S. Vazhkudai, Abdullah Gharaibeh

Proceedings of the 28th IEEE International Conference on Distributed Computing Systems (ICDCS 2008), 2008

2007

Recovering transient data: automated on-demand data reconstruction and offloading for supercomputers.

Sudharshan Vazhkudai, Xiaosong Ma

ACM SIGOPS Oper. Syst. Rev., 2007

A Checkpoint Storage System for Desktop Grid Computing

Samer Al-Kiswany, Matei Ripeanu, Sudharshan S. Vazhkudai

CoRR, 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

Optimizing center performance through coordinated data staging, scheduling and recovery.

Zhe Zhang, Chao Wang, Sudharshan S. Vazhkudai, Xiaosong Ma, Gregory G. Pike, John W. Cobb, Frank Mueller

Proceedings of the ACM/IEEE Conference on High Performance Networking and Computing, 2007

A result-data offloading service for HPC centers.

Henry M. Monti, Ali Raza Butt, Sudharshan S. Vazhkudai

Proceedings of the 2nd International Petascale Data Storage Workshop (PDSW '07), 2007

A Java-based science portal for neutron scattering experiments.

Sudharshan S. Vazhkudai, James Arthur Kohl, Jens Schwidder

Proceedings of the 5th International Symposium on Principles and Practice of Programming in Java, 2007

Are P2P Data-Dissemination Techniques Viable in Today's Data-Intensive Scientific Collaborations?

Samer Al-Kiswany, Matei Ripeanu, Adriana Iamnitchi, Sudharshan Vazhkudai

Proceedings of the Euro-Par 2007, 2007

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

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

Proceedings of the 20th Annual International Conference on Supercomputing, 2006

Positioning Dynamic Storage Caches for Transient Data.

Sudharshan S. Vazhkudai, Douglas Thain, Xiaosong Ma, Vincent W. Freeh

Proceedings of the 2006 IEEE International Conference on Cluster Computing, 2006

2005

FreeLoader: Scavenging Desktop Storage Resources for Scientific Data.

Sudharshan Vazhkudai, Xiaosong Ma, Vincent W. Freeh, Jonathan W. Strickland, Nandan Tammineedi, Stephen L. Scott

Proceedings of the ACM/IEEE SC2005 Conference on High Performance Networking and Computing, 2005

Governor: Autonomic Throttling for Aggressive Idle Resource Scavenging.

Jonathan W. Strickland, Vincent W. Freeh, Xiaosong Ma, Sudharshan Vazhkudai

Proceedings of the Second International Conference on Autonomic Computing (ICAC 2005), 2005

2004

Distributed Downloads of Bulk, Replicated Grid Data.

Sudharshan Vazhkudai

J. Grid Comput., 2004

On-demand Grid Storage Using Scavenging.

Sudharshan Vazhkudai

Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2004

2003

Using Regression Techniques to Predict Large Data Transfers.

Sudharshan Vazhkudai, Jennifer M. Schopf

Int. J. High Perform. Comput. Appl., 2003

Enabling the Co-Allocation of Grid Data Transfers.

Sudharshan Vazhkudai

Proceedings of the 4th International Workshop on Grid Computing (GRID 2003), 2003

2002

PODOS -- The design and implementation of a performance oriented Linux cluster.

Sudharshan Vazhkudai, Jeelani Syed, P. Tobin Maginnis

Future Gener. Comput. Syst., 2002

Predicting the Performance of Wide Area Data Transfers.

Sudharshan Vazhkudai, Jennifer M. Schopf, Ian T. Foster

Proceedings of the 16th International Parallel and Distributed Processing Symposium (IPDPS 2002), 2002

Predicting Sporadic Grid Data Transfers.

Sudharshan Vazhkudai, Jennifer M. Schopf

Proceedings of the 11th IEEE International Symposium on High Performance Distributed Computing (HPDC-11 2002), 2002

Using Disk Throughput Data in Predictions of End-to-End Grid Data Transfers.

Sudharshan Vazhkudai, Jennifer M. Schopf

Proceedings of the Grid Computing, 2002

2001

A Greedy Grid: The Grid Economic Engine Directive.

Sudharshan Vazhkudai, Gregor von Laszewski

Proceedings of the 15th International Parallel & Distributed Processing Symposium (IPDPS-01), 2001

Replica Selection in the Globus Data Grid.

Sudharshan Vazhkudai, Steven Tuecke, Ian T. Foster

Proceedings of the First IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2001), 2001

Compute Power Market: Towards a Market-Oriented Grid.

Rajkumar Buyya, Sudharshan Vazhkudai

Proceedings of the First IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2001), 2001

2000

The PODOS File System - Exploiting the High-Speed Communication Subsystem.

Sudharshan Vazhkudai, P. Tobin Maginnis

Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2000

A Reusable Software Framework for Distributed Decision-Making Protocols.

Sudharshan Vazhkudai, H. Conrad Cunningham

Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2000

1999

A High Performance Communication Subsystem for PODOS.

Sudharshan Vazhkudai, P. Tobin Maginnis

Proceedings of the International Workshop on Cluster Computing (IWCC '99), 1999