Abhinav Vishnu

107 papers A* 2A 15B 12C 6Misc 5Journal 46Unranked 21
YearRankTypeTitle / Venue / Authors
2025 J jnl
DNS-Anchored zk-SNARK Proofs: A Stateless Alternative to ACME Challenge-Response for Domain Control Validation.
IACR Cryptol. ePrint Arch.
Abhinav Vishnu
2023 A* conf
A Research Retrospective on AMD's Exascale Computing Journey.
ISCA
Gabriel H. Loh, Michael J. Schulte, Mike Ignatowski, Vignesh Adhinarayanan, Shaizeen Aga, Derrick Aguren, Varun Agrawal, Ashwin M. Aji, Johnathan Alsop, Paul T. Bauman, Bradford M. Beckmann, Majed Valad Beigi, Sergey Blagodurov, Travis Boraten, Michael Boyer, William C. Brantley, Noel Chalmers, Shaoming Chen, Kevin Cheng, Michael L. Chu, David Cownie, Nicholas Curtis, Joris Del Pino, Nam Duong, Alexandru Dutu, Yasuko Eckert, Christopher Erb, Chip Freitag, Joseph L. Greathouse, Sudhanva Gurumurthi, Anthony Gutierrez, Khaled Hamidouche, Sachin Hossamani, Wei Huang, Mahzabeen Islam, Nuwan Jayasena, John Kalamatianos, Onur Kayiran, Jagadish Kotra, Alan Lee, Daniel Lowell, Niti Madan, Abhinandan Majumdar, Nicholas Malaya, Srilatha Manne, Susumu Mashimo, Damon McDougall, Elliot Mednick, Michael Mishkin, Mark Nutter, Indrani Paul, Matthew Poremba, Brandon Potter, Kishore Punniyamurthy, Sooraj Puthoor, Steven E. Raasch, Karthik Rao, Gregory Rodgers, Marko Scrbak, Mohammad Seyedzadeh, John Slice, Vilas Sridharan, René van Oostrum, Eric Van Tassell, Abhinav Vishnu, Samuel Wasmundt, Mark Wilkening, Noah Wolfe, Mark Wyse, Adithya Yalavarti, Dmitri Yudanov
2023 B conf
ADARNet: Deep Learning Predicts Adaptive Mesh Refinement.
ICPP
Octavi Obiols-Sales, Abhinav Vishnu, Nicholas Malaya, Aparna Chandramowlishwaran
2022 J jnl
NUNet: Deep Learning for Non-Uniform Super-Resolution of Turbulent Flows.
CoRR
Octavi Obiols-Sales, Abhinav Vishnu, Nicholas Malaya, Aparna Chandramowlishwaran
2021 B conf
SURFNet: Super-Resolution of Turbulent Flows with Transfer Learning using Small Datasets.
PACT
Octavi Obiols-Sales, Abhinav Vishnu, Nicholas Malaya, Aparna Chandramowlishwaran
2021 J jnl
SURFNet: Super-resolution of Turbulent Flows with Transfer Learning using Small Datasets.
CoRR
Octavi Obiols-Sales, Abhinav Vishnu, Nicholas Malaya, Aparna Chandramowlishwaran
2021 — conf
Semantic-Aware Lossless Data Compression for Deep Learning Recommendation Model (DLRM).
MLHPC@SC
Sarunya Pumma, Abhinav Vishnu
2020 A conf
CFDNet: a deep learning-based accelerator for fluid simulations.
ICS
Octavi Obiols-Sales, Abhinav Vishnu, Nicholas Malaya, Aparna Chandramowlishwaran
2020 J jnl
CFDNet: a deep learning-based accelerator for fluid simulations.
CoRR
Octavi Obiols-Sales, Abhinav Vishnu, Nicholas Malaya, Aparna Chandramowlishwaran
2020 J jnl
Scaling Deep Learning workloads: NVIDIA DGX-1/Pascal and Intel Knights Landing.
Future Gener. Comput. Syst.
Nitin A. Gawande, Jeff A. Daily, Charles Siegel, Nathan R. Tallent, Abhinav Vishnu
2019 J jnl
Foreword to the special issue for the Workshop on Parallel Programming Models and Systems Software for High-End Computing (P2S2 2017).
Parallel Comput.
Pavan Balaji, Abhinav Vishnu, Yong Chen
2019 J jnl
Guest Editor's Introduction: P2S2: SI 2016.
Parallel Comput.
Abhinav Vishnu, Pavan Balaji, Yong Chen
2019 A conf
Kleio: A Hybrid Memory Page Scheduler with Machine Intelligence.
HPDC
Thaleia Dimitra Doudali, Sergey Blagodurov, Abhinav Vishnu, Sudhanva Gurumurthi, Ada Gavrilovska
2019 J jnl
Parallel programming models and systems software for high-end computing (P2S2 2018).
Parallel Comput.
Min Si, Abhinav Vishnu, Yong Chen
2018 J jnl
ColdRoute: Effective Routing of Cold Questions in Stack Exchange Sites.
CoRR
Jiankai Sun, Abhinav Vishnu, Aniket Chakrabarti, Charles Siegel, Srinivasan Parthasarathy
2018 J jnl
ColdRoute: effective routing of cold questions in stack exchange sites.
Data Min. Knowl. Discov.
Jiankai Sun, Abhinav Vishnu, Aniket Chakrabarti, Charles Siegel, Srinivasan Parthasarathy
2018 A conf
Desh: deep learning for system health prediction of lead times to failure in HPC.
HPDC
Anwesha Das, Frank Mueller, Charles Siegel, Abhinav Vishnu
2018 — conf
Effective Machine Learning Based Format Selection and Performance Modeling for SpMV on GPUs.
IPDPS Workshops
Israt Nisa, Charles Siegel, Aravind Sukumaran-Rajam, Abhinav Vishnu, P. Sadayappan
2018 J jnl
GossipGraD: Scalable Deep Learning using Gossip Communication based Asynchronous Gradient Descent.
CoRR
Jeff Daily, Abhinav Vishnu, Charles Siegel, Thomas Warfel, Vinay Amatya
2018 A conf
How Much Chemistry Does a Deep Neural Network Need to Know to Make Accurate Predictions?
WACV
Garrett B. Goh, Charles Siegel, Abhinav Vishnu, Nathan O. Hodas, Nathan A. Baker
2018 — conf
Introduction to GraML 2018.
IPDPS Workshops
Antonino Tumeo, Mahantesh Halappanavar, John Feo, Assefaw Hadish Gebremedhin, Abhinav Vishnu
2018 J jnl
Multimodal Deep Neural Networks using Both Engineered and Learned Representations for Biodegradability Prediction.
CoRR
Garrett B. Goh, Khushmeen Sakloth, Charles Siegel, Abhinav Vishnu, Jim Pfaendtner
2018 J jnl
NUMA-Caffe: NUMA-Aware Deep Learning Neural Networks.
ACM Trans. Archit. Code Optim.
Probir Roy, Shuaiwen Leon Song, Sriram Krishnamoorthy, Abhinav Vishnu, Dipanjan Sengupta, Xu Liu
2018 — conf
ParLearning 2018 Invited Talk 1.
IPDPS Workshops
Abhinav Vishnu
2018 A* conf
Using Rule-Based Labels for Weak Supervised Learning: A ChemNet for Transferable Chemical Property Prediction.
KDD
Garrett B. Goh, Charles Siegel, Abhinav Vishnu, Nathan Oken Hodas
2017 C conf
A Learning Framework for Control-Oriented Modeling of Buildings.
ICMLA
Javier Rubio-Herrero, Vikas Chandan, Charles Siegel, Abhinav Vishnu, Draguna L. Vrabie
2017 J jnl
ChemNet: A Transferable and Generalizable Deep Neural Network for Small-Molecule Property Prediction.
CoRR
Garrett B. Goh, Charles Siegel, Abhinav Vishnu, Nathan O. Hodas
2017 J jnl
Chemception: A Deep Neural Network with Minimal Chemistry Knowledge Matches the Performance of Expert-developed QSAR/QSPR Models.
CoRR
Garrett B. Goh, Charles Siegel, Abhinav Vishnu, Nathan Oken Hodas, Nathan A. Baker
2017 J jnl
Deep Learning for Computational Chemistry.
CoRR
Garrett B. Goh, Nathan O. Hodas, Abhinav Vishnu
2017 J jnl
Deep learning for computational chemistry.
J. Comput. Chem.
Garrett B. Goh, Nathan O. Hodas, Abhinav Vishnu
2017 A conf
Enabling scalability-sensitive speculative parallelization for FSM computations.
ICS
Junqiao Qiu, Zhijia Zhao, Bo Wu, Abhinav Vishnu, Shuaiwen Leon Song
2017 — conf
Evaluating On-Node GPU Interconnects for Deep Learning Workloads.
PMBS@SC
Nathan R. Tallent, Nitin A. Gawande, Charles Siegel, Abhinav Vishnu, Adolfy Hoisie
2017 A conf
Generating Performance Models for Irregular Applications.
IPDPS
Ryan D. Friese, Nathan R. Tallent, Abhinav Vishnu, Darren J. Kerbyson, Adolfy Hoisie
2017 J jnl
How Much Chemistry Does a Deep Neural Network Need to Know to Make Accurate Predictions?
CoRR
Garrett B. Goh, Charles Siegel, Abhinav Vishnu, Nathan O. Hodas, Nathan A. Baker
2017 J jnl
SMILES2Vec: An Interpretable General-Purpose Deep Neural Network for Predicting Chemical Properties.
CoRR
Garrett B. Goh, Nathan O. Hodas, Charles Siegel, Abhinav Vishnu
2017 — conf
Scaling Deep Learning Workloads: NVIDIA DGX-1/Pascal and Intel Knights Landing.
IPDPS Workshops
Nitin A. Gawande, Joshua B. Landwehr, Jeff A. Daily, Nathan R. Tallent, Abhinav Vishnu, Darren J. Kerbyson
2017 J jnl
User-transparent Distributed TensorFlow.
CoRR
Abhinav Vishnu, Joseph B. Manzano, Charles Siegel, Jeff Daily
2017 J jnl
What does fault tolerant Deep Learning need from MPI?
CoRR
Vinay Amatya, Abhinav Vishnu, Charles Siegel, Jeff Daily
2017 — conf
What does fault tolerant deep learning need from MPI?
EuroMPI/USA
Vinay Amatya, Abhinav Vishnu, Charles Siegel, Jeff Daily
2016 J jnl
A Data-Driven Approach for Semantic Role Labeling from Induced Grammar Structures in Language.
CoRR
Vivek V. Datla, David Lin, Max M. Louwerse, Abhinav Vishnu
2016 J jnl
A survey and taxonomy on energy efficient resource allocation techniques for cloud computing systems.
Computing
Abdul Hameed, Alireza Khoshkbarforoushha, Rajiv Ranjan, Prem Prakash Jayaraman, Joanna Kolodziej, Pavan Balaji, Sherali Zeadally, Qutaibah Marwan Malluhi, Nikos Tziritas, Abhinav Vishnu, Samee U. Khan, Albert Y. Zomaya
2016 B conf
Accelerating Deep Learning with Shrinkage and Recall.
ICPADS
Shuai Zheng, Abhinav Vishnu, Chris H. Q. Ding
2016 J jnl
Accelerating Deep Learning with Shrinkage and Recall.
CoRR
Shuai Zheng, Abhinav Vishnu, Chris H. Q. Ding
2016 J jnl
Adaptive Neuron Apoptosis for Accelerating Deep Learning on Large Scale Systems.
CoRR
Charles Siegel, Jeff Daily, Abhinav Vishnu
2016 — conf
Adaptive neuron apoptosis for accelerating deep learning on large scale systems.
IEEE BigData
Charles Siegel, Jeff Daily, Abhinav Vishnu
2016 J jnl
Distributed TensorFlow with MPI.
CoRR
Abhinav Vishnu, Charles Siegel, Jeffrey Daily
2016 J jnl
Editorial of the Special issue: SI: E2SC.
Parallel Comput.
Abhinav Vishnu, Andres Marquez, Dimitrios S. Nikolopoulos
2016 A conf
Fault Modeling of Extreme Scale Applications Using Machine Learning.
IPDPS
Abhinav Vishnu, Hubertus Van Dam, Nathan R. Tallent, Darren J. Kerbyson, Adolfy Hoisie
2016 Misc conf
Fault Tolerant Frequent Pattern Mining.
HiPC
Sameh Shohdy, Abhinav Vishnu, Gagan Agrawal
2016 J jnl
Fault Tolerant Frequent Pattern Mining.
CoRR
Sameh Shohdy, Abhinav Vishnu, Gagan Agrawal
2016 B conf
Fault Tolerant Support Vector Machines.
ICPP
Sameh Shohdy, Abhinav Vishnu, Gagan Agrawal
2016 J jnl
Performance analysis of data intensive cloud systems based on data management and replication: a survey.
Distributed Parallel Databases
Saif Ur Rehman Malik, Samee U. Khan, Sam J. Ewen, Nikos Tziritas, Joanna Kolodziej, Albert Y. Zomaya, Sajjad Ahmad Madani, Nasro Min-Allah, Lizhe Wang, Cheng-Zhong Xu, Qutaibah M. Malluhi, Johnatan E. Pecero, Pavan Balaji, Abhinav Vishnu, Rajiv Ranjan, Sherali Zeadally, Hongxiang Li
2016 J jnl
Performance and power for highly parallel systems.
Concurr. Comput. Pract. Exp.
Georg Hager, Darren J. Kerbyson, Abhinav Vishnu, Gerhard Wellein
2016 J jnl
Special Issue on Parallel Programming Models and Systems Software for High-End Computing.
Parallel Comput.
Pavan Balaji, Abhinav Vishnu, Yong Chen
2015 A conf
A case for application-oblivious energy-efficient MPI runtime.
SC
Akshay Venkatesh, Abhinav Vishnu, Khaled Hamidouche, Nathan R. Tallent, Dhabaleswar K. Panda, Darren J. Kerbyson, Adolfy Hoisie
2015 J jnl
A work stealing based approach for enabling scalable optimal sequence homology detection.
J. Parallel Distributed Comput.
Jeff Daily, Ananth Kalyanaraman, Sriram Krishnamoorthy, Abhinav Vishnu
2015 — conf
Accelerating k-NN Algorithm with Hybrid MPI and OpenSHMEM.
OpenSHMEM
Jian Lin, Khaled Hamidouche, Jie Zhang, Xiaoyi Lu, Abhinav Vishnu, Dhabaleswar K. Panda
2015 B conf
Diagnosing the causes and severity of one-sided message contention.
PPoPP
Nathan R. Tallent, Abhinav Vishnu, Hubertus Van Dam, Jeff Daily, Darren J. Kerbyson, Adolfy Hoisie
2015 C conf
Fast and Accurate Support Vector Machines on Large Scale Systems.
CLUSTER
Abhinav Vishnu, Jeyanthi Narasimhan, Lawrence Holder, Darren J. Kerbyson, Adolfy Hoisie
2015 C conf
Large Scale Frequent Pattern Mining Using MPI One-Sided Model.
CLUSTER
Abhinav Vishnu, Khushbu Agarwal
2015 — conf
On the Impact of Execution Models: A Case Study in Computational Chemistry.
IPDPS Workshops
Daniel G. Chavarría-Miranda, Mahantesh Halappanavar, Sriram Krishnamoorthy, Joseph B. Manzano, Abhinav Vishnu, Adolfy Hoisie
2015 J jnl
Predicting the top and bottom ranks of billboard songs using Machine Learning.
CoRR
Vivek V. Datla, Abhinav Vishnu
2014 J jnl
A performance comparison of current HPC systems: Blue Gene/Q, Cray XE6 and InfiniBand systems.
Future Gener. Comput. Syst.
Darren J. Kerbyson, Kevin J. Barker, Abhinav Vishnu, Adolfy Hoisie
2014 J jnl
Fast Support Vector Machines Using Parallel Adaptive Shrinking on Distributed Systems.
CoRR
Jeyanthi Narasimhan, Abhinav Vishnu, Lawrence Holder, Adolfy Hoisie
2014 Misc conf
On the suitability of MPI as a PGAS runtime.
HiPC
Jeff Daily, Abhinav Vishnu, Bruce J. Palmer, Hubertus Van Dam, Darren J. Kerbyson
2014 — conf
ParLearning Introduction and Committees.
IPDPS Workshops
Abhinav Vishnu, Yinglong Xia
2013 J jnl
A survey on resource allocation in high performance distributed computing systems.
Parallel Comput.
Hameed Hussain, Saif Ur Rehman Malik, Abdul Hameed, Samee Ullah Khan, Gage Bickler, Nasro Min-Allah, Muhammad Bilal Qureshi, Limin Zhang, Yongji Wang, Nasir Ghani, Joanna Kolodziej, Albert Y. Zomaya, Cheng-Zhong Xu, Pavan Balaji, Abhinav Vishnu, Frédéric Pinel, Johnatan E. Pecero, Dzmitry Kliazovich, Pascal Bouvry, Hongxiang Li, Lizhe Wang, Dan Chen, Ammar Rayes
2013 J jnl
An overview of energy efficiency techniques in cluster computing systems.
Clust. Comput.
Giorgio Valentini, Walter Lassonde, Samee Ullah Khan, Nasro Min-Allah, Sajjad Ahmad Madani, Juan Li, Limin Zhang, Lizhe Wang, Nasir Ghani, Joanna Kolodziej, Hongxiang Li, Albert Y. Zomaya, Cheng-Zhong Xu, Pavan Balaji, Abhinav Vishnu, Frédéric Pinel, Johnatan E. Pecero, Dzmitry Kliazovich, Pascal Bouvry
2013 — conf
Building Scalable PGAS Communication Subsystem on Blue Gene/Q.
IPDPS Workshops
Abhinav Vishnu, Darren J. Kerbyson, Kevin J. Barker, Hubertus Van Dam
2013 J jnl
Designing energy efficient communication runtime systems: a view from PGAS models.
J. Supercomput.
Abhinav Vishnu, Shuaiwen Song, Andres Marquez, Kevin J. Barker, Darren J. Kerbyson, Kirk W. Cameron, Pavan Balaji
2013 J jnl
Guest Editors' introduction.
J. Supercomput.
Abhinav Vishnu, Pavan Balaji, Yong Chen
2013 J jnl
Special issue on programming models, systems software, and tools for High-End Computing.
Parallel Comput.
Yong Chen, Pavan Balaji, Abhinav Vishnu
2012 B conf
Comparing the Performance of Blue Gene/Q with Leading Cray XE6 and InfiniBand Systems.
ICPADS
Darren J. Kerbyson, Kevin J. Barker, Abhinav Vishnu, Adolfy Hoisie
2012 Misc conf
Designing scalable PGAS communication subsystems on cray gemini interconnect.
HiPC
Abhinav Vishnu, Jeff Daily, Bruce J. Palmer
2012 B conf
Global Futures: A Multithreaded Execution Model for Global Arrays-based Applications.
CCGRID
Daniel G. Chavarría-Miranda, Sriram Krishnamoorthy, Abhinav Vishnu
2011 J jnl
Codesign Challenges for Exascale Systems: Performance, Power, and Reliability.
Computer
Darren J. Kerbyson, Abhinav Vishnu, Kevin J. Barker, Adolfy Hoisie
2011 — conf
Dynamic Time-Variant Connection Management for PGAS Models on InfiniBand.
IPDPS Workshops
Abhinav Vishnu, Manojkumar Krishnan, Pavan Balaji
2011 C conf
Energy Templates: Exploiting Application Information to Save Energy.
CLUSTER
Darren J. Kerbyson, Abhinav Vishnu, Kevin J. Barker
2011 — conf
Evaluating the Potential of Cray Gemini Interconnect for PGAS Communication Runtime Systems.
Hot Interconnects
Abhinav Vishnu, Monika ten Bruggencate, Ryan Olson
2011 A conf
Iso-Energy-Efficiency: An Approach to Power-Constrained Parallel Computation.
IPDPS
Shuaiwen Song, Chun-Yi Su, Rong Ge, Abhinav Vishnu, Kirk W. Cameron
2011 J jnl
Mapping communication layouts to network hardware characteristics on massive-scale blue gene systems.
Comput. Sci. Res. Dev.
Pavan Balaji, Rinku Gupta, Abhinav Vishnu, Peter H. Beckman
2011 C conf
Noncollective Communicator Creation in MPI.
EuroMPI
James Dinan, Sriram Krishnamoorthy, Pavan Balaji, Jeff R. Hammond, Manojkumar Krishnan, Vinod Tipparaju, Abhinav Vishnu
2011 J jnl
Special Issue on Programming Models and Systems Software Support for High-End Computing Applications.
Int. J. High Perform. Comput. Appl.
Pavan Balaji, Abhinav Vishnu
2011 J jnl
Special Issue on Programming Models, Software and Tools for High-End Computing.
Int. J. High Perform. Comput. Appl.
Pavan Balaji, Abhinav Vishnu
2011 A conf
Tutorial Statement.
IPDPS
Bruce J. Palmer, Manojkumar Krishnan, Abhinav Vishnu
2010 — conf
Designing Energy Efficient Communication Runtime Systems for Data Centric Programming Models.
GreenCom/CPSCom
Abhinav Vishnu, Shuaiwen Song, Andres Marquez, Kevin J. Barker, Darren J. Kerbyson, Kirk W. Cameron, Pavan Balaji
2010 — conf
Designing topology-aware collective communication algorithms for large scale InfiniBand clusters: Case studies with Scatter and Gather.
IPDPS Workshops
Krishna Chaitanya Kandalla, Hari Subramoni, Abhinav Vishnu, Dhabaleswar K. Panda
2010 B conf
Efficient On-Demand Connection Management Mechanisms with PGAS Models over InfiniBand.
CCGRID
Abhinav Vishnu, Manojkumar Krishnan
2010 Misc conf
Fault-tolerant communication runtime support for data-centric programming models.
HiPC
Abhinav Vishnu, Huub J. J. Van Dam, Wibe de Jong, Pavan Balaji, Shuaiwen Song
2010 — conf
Scaling Linear Algebra Kernels Using Remote Memory Access.
ICPP Workshops
Manojkumar Krishnan, Robert R. Lewis, Abhinav Vishnu
2009 C conf
An efficient hardware-software approach to network fault tolerance with InfiniBand.
CLUSTER
Abhinav Vishnu, Manojkumar Krishnan, Dhabaleswar K. Panda
2009 J jnl
Topology agnostic hot-spot avoidance with InfiniBand.
Concurr. Comput. Pract. Exp.
Abhinav Vishnu, Matthew J. Koop, Adam Moody, Amith R. Mamidala, Sundeep Narravula, Dhabaleswar K. Panda
2007 A conf
Automatic Path Migration over InfiniBand: Early Experiences.
IPDPS
Abhinav Vishnu, Amith R. Mamidala, Sundeep Narravula, Dhabaleswar K. Panda
2007 B conf
High Performance Distributed Lock Management Services using Network-based Remote Atomic Operations.
CCGRID
Sundeep Narravula, A. Marnidala, Abhinav Vishnu, Karthikeyan Vaidyanathan, Dhabaleswar K. Panda
2007 A conf
High Performance MPI on IBM 12x InfiniBand Architecture.
IPDPS
Abhinav Vishnu, Brad Benton, Dhabaleswar K. Panda
2007 B conf
High Performance MPI over iWARP: Early Experiences.
ICPP
Sundeep Narravula, Amith R. Mamidala, Abhinav Vishnu, Gopalakrishnan Santhanaraman, Dhabaleswar K. Panda
2007 B conf
Hot-Spot Avoidance With Multi-Pathing Over InfiniBand: An MPI Perspective.
CCGRID
Abhinav Vishnu, Matthew J. Koop, Adam Moody, Amith R. Mamidala, Sundeep Narravula, Dhabaleswar K. Panda
2007 B conf
On using connection-oriented vs. connection-less transport for performance and scalability of collective and one-sided operations: trade-offs and impact.
PPoPP
Amith R. Mamidala, Sundeep Narravula, Abhinav Vishnu, Gopalakrishnan Santhanaraman, Dhabaleswar K. Panda
2006 — conf
Efficient Shared Memory and RDMA Based Design for MPI_Allgather over InfiniBand.
PVM/MPI
Amith R. Mamidala, Abhinav Vishnu, Dhabaleswar K. Panda
2006 — conf
Memory Scalability Evaluation of the Next-Generation Intel Bensley Platform with InfiniBand.
Hot Interconnects
Matthew J. Koop, Wei Huang, Abhinav Vishnu, Dhabaleswar K. Panda
2006 A conf
Scalable systems software - A software based approach for providing network fault tolerance in clusters with uDAPL interface: MPI level design and performance evaluation.
SC
Abhinav Vishnu, Prachi Gupta, Amith R. Mamidala, Dhabaleswar K. Panda
2005 — conf
Can Memory-Less Network Adapters Benefit Next-Generation InfiniBand Systems?.
Hot Interconnects
Sayantan Sur, Abhinav Vishnu, Hyun-Wook Jin, Wei Huang, Dhabaleswar K. Panda
2005 J jnl
Evaluating InfiniBand Performance with PCI Express.
IEEE Micro
Jiuxing Liu, Amith R. Mamidala, Abhinav Vishnu, Dhabaleswar K. Panda
2005 A conf
Performance Modeling of Subnet Management on Fat Tree InfiniBand Networks using OpenSM.
IPDPS
Abhinav Vishnu, Amith R. Mamidala, Hyun-Wook Jin, Dhabaleswar K. Panda
2005 Misc conf
Supporting MPI-2 One Sided Communication on Multi-rail InfiniBand Clusters: Design Challenges and Performance Benefits.
HiPC
Abhinav Vishnu, Gopalakrishnan Santhanaraman, Wei Huang, Hyun-Wook Jin, Dhabaleswar K. Panda
2004 A conf
Building Multirail InfiniBand Clusters: MPI-Level Design and Performance Evaluation.
SC
Jiuxing Liu, Abhinav Vishnu, Dhabaleswar K. Panda
2004 — conf
Performance evaluation of InfiniBand with PCI Express.
Hot Interconnects
Jiuxing Liu, Amith R. Mamidala, Abhinav Vishnu, Dhabaleswar K. Panda