Abhinav Vishnu

ORCID

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 61

Top Venues

CoRR

IPDPS Workshops

Parallel Comput.

Future Gener. Comput. Syst.

Publications

Octavi Obiols-Sales, Abhinav Vishnu, Nicholas Malaya, Aparna Chandramowlishwaran
ADARNet: Deep Learning Predicts Adaptive Mesh Refinement. ICPP (2023)
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
A Research Retrospective on AMD's Exascale Computing Journey. ISCA (2023)
Octavi Obiols-Sales, Abhinav Vishnu, Nicholas Malaya, Aparna Chandramowlishwaran
NUNet: Deep Learning for Non-Uniform Super-Resolution of Turbulent Flows. CoRR (2022)
Octavi Obiols-Sales, Abhinav Vishnu, Nicholas Malaya, Aparna Chandramowlishwaran
SURFNet: Super-resolution of Turbulent Flows with Transfer Learning using Small Datasets. CoRR (2021)
Sarunya Pumma, Abhinav Vishnu
Semantic-Aware Lossless Data Compression for Deep Learning Recommendation Model (DLRM). MLHPC@SC (2021)
Octavi Obiols-Sales, Abhinav Vishnu, Nicholas Malaya, Aparna Chandramowlishwaran
SURFNet: Super-Resolution of Turbulent Flows with Transfer Learning using Small Datasets. PACT (2021)
Octavi Obiols-Sales, Abhinav Vishnu, Nicholas Malaya, Aparna Chandramowlishwaran
CFDNet: a deep learning-based accelerator for fluid simulations. ICS (2020)
Nitin A. Gawande, Jeff A. Daily, Charles Siegel, Nathan R. Tallent, Abhinav Vishnu
Scaling Deep Learning workloads: NVIDIA DGX-1/Pascal and Intel Knights Landing. Future Gener. Comput. Syst. 108 (2020)
Octavi Obiols-Sales, Abhinav Vishnu, Nicholas Malaya, Aparna Chandramowlishwaran
CFDNet: a deep learning-based accelerator for fluid simulations. CoRR (2020)
Pavan Balaji, Abhinav Vishnu, Yong Chen
Foreword to the special issue for the Workshop on Parallel Programming Models and Systems Software for High-End Computing (P2S2 2017). Parallel Comput. 83 (2019)
Min Si, Abhinav Vishnu, Yong Chen
Parallel programming models and systems software for high-end computing (P2S2 2018). Parallel Comput. 89 (2019)
Abhinav Vishnu, Pavan Balaji, Yong Chen
Guest Editor's Introduction: P2S2: SI 2016. Parallel Comput. 82 (2019)
Thaleia Dimitra Doudali, Sergey Blagodurov, Abhinav Vishnu, Sudhanva Gurumurthi, Ada Gavrilovska
Kleio: A Hybrid Memory Page Scheduler with Machine Intelligence. HPDC (2019)
Jeff Daily, Abhinav Vishnu, Charles Siegel, Thomas Warfel, Vinay Amatya
GossipGraD: Scalable Deep Learning using Gossip Communication based Asynchronous Gradient Descent. CoRR (2018)
Probir Roy, Shuaiwen Leon Song, Sriram Krishnamoorthy, Abhinav Vishnu, Dipanjan Sengupta, Xu Liu
NUMA-Caffe: NUMA-Aware Deep Learning Neural Networks. ACM Trans. Archit. Code Optim. 15 (2) (2018)
Antonino Tumeo, Mahantesh Halappanavar, John Feo, Assefaw Hadish Gebremedhin, Abhinav Vishnu
Introduction to GraML 2018. IPDPS Workshops (2018)
Anwesha Das, Frank Mueller, Charles Siegel, Abhinav Vishnu
Desh: deep learning for system health prediction of lead times to failure in HPC. HPDC (2018)
Garrett B. Goh, Khushmeen Sakloth, Charles Siegel, Abhinav Vishnu, Jim Pfaendtner
Multimodal Deep Neural Networks using Both Engineered and Learned Representations for Biodegradability Prediction. CoRR (2018)
Abhinav Vishnu
ParLearning 2018 Invited Talk 1. IPDPS Workshops (2018)
Jiankai Sun, Abhinav Vishnu, Aniket Chakrabarti, Charles Siegel, Srinivasan Parthasarathy
ColdRoute: effective routing of cold questions in stack exchange sites. Data Min. Knowl. Discov. 32 (5) (2018)
Garrett B. Goh, Charles Siegel, Abhinav Vishnu, Nathan O. Hodas, Nathan Baker
How Much Chemistry Does a Deep Neural Network Need to Know to Make Accurate Predictions? WACV (2018)
Israt Nisa, Charles Siegel, Aravind Sukumaran-Rajam, Abhinav Vishnu, P. Sadayappan
Effective Machine Learning Based Format Selection and Performance Modeling for SpMV on GPUs. IPDPS Workshops (2018)
Garrett B. Goh, Charles Siegel, Abhinav Vishnu, Nathan Oken Hodas
Using Rule-Based Labels for Weak Supervised Learning: A ChemNet for Transferable Chemical Property Prediction. KDD (2018)
Jiankai Sun, Abhinav Vishnu, Aniket Chakrabarti, Charles Siegel, Srinivasan Parthasarathy
ColdRoute: Effective Routing of Cold Questions in Stack Exchange Sites. CoRR (2018)
Garrett B. Goh, Charles Siegel, Abhinav Vishnu, Nathan O. Hodas, Nathan Baker
How Much Chemistry Does a Deep Neural Network Need to Know to Make Accurate Predictions? CoRR (2017)
Junqiao Qiu, Zhijia Zhao, Bo Wu, Abhinav Vishnu, Shuaiwen Leon Song
Enabling scalability-sensitive speculative parallelization for FSM computations. ICS (2017)
Vinay Amatya, Abhinav Vishnu, Charles Siegel, Jeff Daily
What does fault tolerant Deep Learning need from MPI? CoRR (2017)
Garrett B. Goh, Nathan O. Hodas, Abhinav Vishnu
Deep Learning for Computational Chemistry. CoRR (2017)
Garrett B. Goh, Nathan O. Hodas, Abhinav Vishnu
Deep learning for computational chemistry. J. Comput. Chem. 38 (16) (2017)
Vinay Amatya, Abhinav Vishnu, Charles Siegel, Jeff Daily
What does fault tolerant deep learning need from MPI? EuroMPI/USA (2017)
Garrett B. Goh, Charles Siegel, Abhinav Vishnu, Nathan O. Hodas
ChemNet: A Transferable and Generalizable Deep Neural Network for Small-Molecule Property Prediction. CoRR (2017)
Javier Rubio-Herrero, Vikas Chandan, Charles Siegel, Abhinav Vishnu, Draguna L. Vrabie
A Learning Framework for Control-Oriented Modeling of Buildings. ICMLA (2017)
Nathan R. Tallent, Nitin A. Gawande, Charles Siegel, Abhinav Vishnu, Adolfy Hoisie
Evaluating On-Node GPU Interconnects for Deep Learning Workloads. PMBS@SC (2017)
Nitin A. Gawande, Joshua B. Landwehr, Jeff A. Daily, Nathan R. Tallent, Abhinav Vishnu, Darren J. Kerbyson
Scaling Deep Learning Workloads: NVIDIA DGX-1/Pascal and Intel Knights Landing. IPDPS Workshops (2017)
Abhinav Vishnu, Joseph B. Manzano, Charles Siegel, Jeff Daily
User-transparent Distributed TensorFlow. CoRR (2017)
Ryan D. Friese, Nathan R. Tallent, Abhinav Vishnu, Darren J. Kerbyson, Adolfy Hoisie
Generating Performance Models for Irregular Applications. IPDPS (2017)
Garrett B. Goh, Charles Siegel, Abhinav Vishnu, Nathan Oken Hodas, Nathan Baker
Chemception: A Deep Neural Network with Minimal Chemistry Knowledge Matches the Performance of Expert-developed QSAR/QSPR Models. CoRR (2017)
Garrett B. Goh, Nathan O. Hodas, Charles Siegel, Abhinav Vishnu
SMILES2Vec: An Interpretable General-Purpose Deep Neural Network for Predicting Chemical Properties. CoRR (2017)
Sameh Shohdy, Abhinav Vishnu, Gagan Agrawal
Fault Tolerant Frequent Pattern Mining. CoRR (2016)
Vivek V. Datla, David Lin, Max M. Louwerse, Abhinav Vishnu
A Data-Driven Approach for Semantic Role Labeling from Induced Grammar Structures in Language. CoRR (2016)
Charles Siegel, Jeff Daily, Abhinav Vishnu
Adaptive neuron apoptosis for accelerating deep learning on large scale systems. IEEE BigData (2016)
Abhinav Vishnu, Charles Siegel, Jeffrey Daily
Distributed TensorFlow with MPI. CoRR (2016)
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
A survey and taxonomy on energy efficient resource allocation techniques for cloud computing systems. Computing 98 (7) (2016)
Sameh Shohdy, Abhinav Vishnu, Gagan Agrawal
Fault Tolerant Support Vector Machines. ICPP (2016)
Pavan Balaji, Abhinav Vishnu, Yong Chen
Special Issue on Parallel Programming Models and Systems Software for High-End Computing. Parallel Comput. 51 (2016)
Shuai Zheng, Abhinav Vishnu, Chris H. Q. Ding
Accelerating Deep Learning with Shrinkage and Recall. CoRR (2016)
Shuai Zheng, Abhinav Vishnu, Chris H. Q. Ding
Accelerating Deep Learning with Shrinkage and Recall. ICPADS (2016)
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
Performance analysis of data intensive cloud systems based on data management and replication: a survey. Distributed Parallel Databases 34 (2) (2016)
Sameh Shohdy, Abhinav Vishnu, Gagan Agrawal
Fault Tolerant Frequent Pattern Mining. HiPC (2016)
Abhinav Vishnu, Andres Marquez, Dimitrios S. Nikolopoulos
Editorial of the Special issue: SI: E2SC. Parallel Comput. 57 (2016)
Georg Hager, Darren J. Kerbyson, Abhinav Vishnu, Gerhard Wellein
Performance and power for highly parallel systems. Concurr. Comput. Pract. Exp. 28 (2) (2016)
Abhinav Vishnu, Hubertus Van Dam, Nathan R. Tallent, Darren J. Kerbyson, Adolfy Hoisie
Fault Modeling of Extreme Scale Applications Using Machine Learning. IPDPS (2016)
Charles Siegel, Jeff Daily, Abhinav Vishnu
Adaptive Neuron Apoptosis for Accelerating Deep Learning on Large Scale Systems. CoRR (2016)
Jian Lin, Khaled Hamidouche, Jie Zhang, Xiaoyi Lu, Abhinav Vishnu, Dhabaleswar K. Panda
Accelerating k-NN Algorithm with Hybrid MPI and OpenSHMEM. OpenSHMEM (2015)
Vivek V. Datla, Abhinav Vishnu
Predicting the top and bottom ranks of billboard songs using Machine Learning. CoRR (2015)
Nathan R. Tallent, Abhinav Vishnu, Hubertus Van Dam, Jeff Daily, Darren J. Kerbyson, Adolfy Hoisie
Diagnosing the causes and severity of one-sided message contention. PPOPP (2015)
Daniel G. Chavarría-Miranda, Mahantesh Halappanavar, Sriram Krishnamoorthy, Joseph B. Manzano, Abhinav Vishnu, Adolfy Hoisie
On the Impact of Execution Models: A Case Study in Computational Chemistry. IPDPS Workshops (2015)
Akshay Venkatesh, Abhinav Vishnu, Khaled Hamidouche, Nathan R. Tallent, Dhabaleswar K. Panda, Darren J. Kerbyson, Adolfy Hoisie
A case for application-oblivious energy-efficient MPI runtime. SC (2015)
Jeff Daily, Ananth Kalyanaraman, Sriram Krishnamoorthy, Abhinav Vishnu
A work stealing based approach for enabling scalable optimal sequence homology detection. J. Parallel Distributed Comput. (2015)
Abhinav Vishnu, Khushbu Agarwal
Large Scale Frequent Pattern Mining Using MPI One-Sided Model. CLUSTER (2015)
Abhinav Vishnu, Jeyanthi Narasimhan, Lawrence Holder, Darren J. Kerbyson, Adolfy Hoisie
Fast and Accurate Support Vector Machines on Large Scale Systems. CLUSTER (2015)
Jeff Daily, Abhinav Vishnu, Bruce J. Palmer, Hubertus Van Dam, Darren J. Kerbyson
On the suitability of MPI as a PGAS runtime. HiPC (2014)
Darren J. Kerbyson, Kevin J. Barker, Abhinav Vishnu, Adolfy Hoisie
A performance comparison of current HPC systems: Blue Gene/Q, Cray XE6 and InfiniBand systems. Future Gener. Comput. Syst. 30 (2014)
Jeyanthi Narasimhan, Abhinav Vishnu, Lawrence Holder, Adolfy Hoisie
Fast Support Vector Machines Using Parallel Adaptive Shrinking on Distributed Systems. CoRR (2014)
Abhinav Vishnu, Yinglong Xia
ParLearning Introduction and Committees. IPDPS Workshops (2014)
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
An overview of energy efficiency techniques in cluster computing systems. Clust. Comput. 16 (1) (2013)
Abhinav Vishnu, Pavan Balaji, Yong Chen
Guest Editors' introduction. J. Supercomput. 63 (2) (2013)
Yong Chen, Pavan Balaji, Abhinav Vishnu
Special issue on programming models, systems software, and tools for High-End Computing. Parallel Comput. 39 (12) (2013)
Abhinav Vishnu, Shuaiwen Song, Andres Marquez, Kevin J. Barker, Darren J. Kerbyson, Kirk W. Cameron, Pavan Balaji
Designing energy efficient communication runtime systems: a view from PGAS models. J. Supercomput. 63 (3) (2013)
Abhinav Vishnu, Darren J. Kerbyson, Kevin J. Barker, Hubertus Van Dam
Building Scalable PGAS Communication Subsystem on Blue Gene/Q. IPDPS Workshops (2013)
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
A survey on resource allocation in high performance distributed computing systems. Parallel Comput. 39 (11) (2013)
Daniel G. Chavarría-Miranda, Sriram Krishnamoorthy, Abhinav Vishnu
Global Futures: A Multithreaded Execution Model for Global Arrays-based Applications. CCGRID (2012)
Darren J. Kerbyson, Kevin J. Barker, Abhinav Vishnu, Adolfy Hoisie
Comparing the Performance of Blue Gene/Q with Leading Cray XE6 and InfiniBand Systems. ICPADS (2012)
Abhinav Vishnu, Jeff Daily, Bruce J. Palmer
Designing scalable PGAS communication subsystems on cray gemini interconnect. HiPC (2012)
Pavan Balaji, Rinku Gupta, Abhinav Vishnu, Peter H. Beckman
Mapping communication layouts to network hardware characteristics on massive-scale blue gene systems. Comput. Sci. Res. Dev. 26 (3-4) (2011)
Abhinav Vishnu, Manojkumar Krishnan, Pavan Balaji
Dynamic Time-Variant Connection Management for PGAS Models on InfiniBand. IPDPS Workshops (2011)
Pavan Balaji, Abhinav Vishnu
Special Issue on Programming Models, Software and Tools for High-End Computing. Int. J. High Perform. Comput. Appl. 25 (4) (2011)
Abhinav Vishnu, Monika ten Bruggencate, Ryan Olson
Evaluating the Potential of Cray Gemini Interconnect for PGAS Communication Runtime Systems. Hot Interconnects (2011)
Darren J. Kerbyson, Abhinav Vishnu, Kevin J. Barker, Adolfy Hoisie
Codesign Challenges for Exascale Systems: Performance, Power, and Reliability. Computer 44 (11) (2011)
Bruce J. Palmer, Manojkumar Krishnan, Abhinav Vishnu
Tutorial Statement. IPDPS (2011)
Darren J. Kerbyson, Abhinav Vishnu, Kevin J. Barker
Energy Templates: Exploiting Application Information to Save Energy. CLUSTER (2011)
Shuaiwen Song, Chun-Yi Su, Rong Ge, Abhinav Vishnu, Kirk W. Cameron
Iso-Energy-Efficiency: An Approach to Power-Constrained Parallel Computation. IPDPS (2011)
Pavan Balaji, Abhinav Vishnu
Special Issue on Programming Models and Systems Software Support for High-End Computing Applications. Int. J. High Perform. Comput. Appl. 25 (2) (2011)
James Dinan, Sriram Krishnamoorthy, Pavan Balaji, Jeff R. Hammond, Manojkumar Krishnan, Vinod Tipparaju, Abhinav Vishnu
Noncollective Communicator Creation in MPI. EuroMPI (2011)
Manojkumar Krishnan, Robert R. Lewis, Abhinav Vishnu
Scaling Linear Algebra Kernels Using Remote Memory Access. ICPP Workshops (2010)
Abhinav Vishnu, Huub J. J. Van Dam, Wibe de Jong, Pavan Balaji, Shuaiwen Song
Fault-tolerant communication runtime support for data-centric programming models. HiPC (2010)
Abhinav Vishnu, Manojkumar Krishnan
Efficient On-Demand Connection Management Mechanisms with PGAS Models over InfiniBand. CCGRID (2010)
Abhinav Vishnu, Shuaiwen Song, Andres Marquez, Kevin J. Barker, Darren J. Kerbyson, Kirk W. Cameron, Pavan Balaji
Designing Energy Efficient Communication Runtime Systems for Data Centric Programming Models. GreenCom/CPSCom (2010)
Krishna Chaitanya Kandalla, Hari Subramoni, Abhinav Vishnu, Dhabaleswar K. Panda
Designing topology-aware collective communication algorithms for large scale InfiniBand clusters: Case studies with Scatter and Gather. IPDPS Workshops (2010)
Abhinav Vishnu, Manojkumar Krishnan, Dhabaleswar K. Panda
An efficient hardware-software approach to network fault tolerance with InfiniBand. CLUSTER (2009)
Abhinav Vishnu, Matthew J. Koop, Adam Moody, Amith R. Mamidala, Sundeep Narravula, Dhabaleswar K. Panda
Topology agnostic hot-spot avoidance with InfiniBand. Concurr. Comput. Pract. Exp. 21 (3) (2009)
Abhinav Vishnu, Amith R. Mamidala, Sundeep Narravula, Dhabaleswar K. Panda
Automatic Path Migration over InfiniBand: Early Experiences. IPDPS (2007)
Abhinav Vishnu, Matthew J. Koop, Adam Moody, Amith R. Mamidala, Sundeep Narravula, Dhabaleswar K. Panda
Hot-Spot Avoidance With Multi-Pathing Over InfiniBand: An MPI Perspective. CCGRID (2007)
Abhinav Vishnu, Brad Benton, Dhabaleswar K. Panda
High Performance MPI on IBM 12x InfiniBand Architecture. IPDPS (2007)
Sundeep Narravula, Amith R. Mamidala, Abhinav Vishnu, Gopalakrishnan Santhanaraman, Dhabaleswar K. Panda
High Performance MPI over iWARP: Early Experiences. ICPP (2007)
Sundeep Narravula, A. Marnidala, Abhinav Vishnu, Karthikeyan Vaidyanathan, Dhabaleswar K. Panda
High Performance Distributed Lock Management Services using Network-based Remote Atomic Operations. CCGRID (2007)
Amith R. Mamidala, Sundeep Narravula, Abhinav Vishnu, Gopalakrishnan Santhanaraman, Dhabaleswar K. Panda
On using connection-oriented vs. connection-less transport for performance and scalability of collective and one-sided operations: trade-offs and impact. PPOPP (2007)
Abhinav Vishnu, Prachi Gupta, Amith R. Mamidala, Dhabaleswar K. Panda
Scalable systems software - A software based approach for providing network fault tolerance in clusters with uDAPL interface: MPI level design and performance evaluation. SC (2006)
Amith R. Mamidala, Abhinav Vishnu, Dhabaleswar K. Panda
Efficient Shared Memory and RDMA Based Design for MPI_Allgather over InfiniBand. PVM/MPI (2006)
Matthew J. Koop, Wei Huang, Abhinav Vishnu, Dhabaleswar K. Panda
Memory Scalability Evaluation of the Next-Generation Intel Bensley Platform with InfiniBand. Hot Interconnects (2006)

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Publication Activity (10 Years)

Top Topics

Top Venues

Abhinav Vishnu