Abhinav Vishnu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
36
Venues
14
Active years
2004–2023
Best venue rank
A*
Where they publish
Papers
36 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | ICPP | ADARNet: Deep Learning Predicts Adaptive Mesh Refinement. | Octavi Obiols-Sales, Abhinav Vishnu, Nicholas Malaya, Aparna Chandramowlishwaran |
| 2023 | ISCA | A Research Retrospective on AMD's Exascale Computing Journey. | 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, Ren van Oostrum, Eric Van Tassell, Abhinav Vishnu, Samuel Wasmundt, Mark Wilkening, Noah Wolfe, Mark Wyse, Adithya Yalavarti, Dmitri Yudanov |
| 2020 | ICS | CFDNet: a deep learning-based accelerator for fluid simulations. | Octavi Obiols-Sales, Abhinav Vishnu, Nicholas Malaya, Aparna Chandramowlishwaran |
| 2019 | HPDC | Kleio: A Hybrid Memory Page Scheduler with Machine Intelligence. | Thaleia Dimitra Doudali, Sergey Blagodurov, Abhinav Vishnu, Sudhanva Gurumurthi, Ada Gavrilovska |
| 2018 | HPDC | Desh: deep learning for system health prediction of lead times to failure in HPC. | Anwesha Das, Frank Mueller, Charles Siegel, Abhinav Vishnu |
| 2018 | KDD | Using Rule-Based Labels for Weak Supervised Learning: A ChemNet for Transferable Chemical Property Prediction. | Garrett B. Goh, Charles Siegel, Abhinav Vishnu, Nathan Oken Hodas |
| 2018 | WACV | How Much Chemistry Does a Deep Neural Network Need to Know to Make Accurate Predictions? | Garrett B. Goh, Charles Siegel, Abhinav Vishnu, Nathan O. Hodas, Nathan A. Baker |
| 2017 | ICMLA | A Learning Framework for Control-Oriented Modeling of Buildings. | Javier Rubio-Herrero, Vikas Chandan, Charles Siegel, Abhinav Vishnu, Draguna L. Vrabie |
| 2017 | ICS | Enabling scalability-sensitive speculative parallelization for FSM computations. | Junqiao Qiu, Zhijia Zhao, Bo Wu, Abhinav Vishnu, Shuaiwen Leon Song |
| 2017 | SC | Evaluating On-Node GPU Interconnects for Deep Learning Workloads. | Nathan R. Tallent, Nitin A. Gawande, Charles Siegel, Abhinav Vishnu, Adolfy Hoisie |
| 2016 | HiPC | Fault Tolerant Frequent Pattern Mining. | Sameh Shohdy, Abhinav Vishnu, Gagan Agrawal |
| 2016 | ICPADS | Accelerating Deep Learning with Shrinkage and Recall. | Shuai Zheng, Abhinav Vishnu, Chris H. Q. Ding |
| 2016 | ICPP | Fault Tolerant Support Vector Machines. | Sameh Shohdy, Abhinav Vishnu, Gagan Agrawal |
| 2015 | CLUSTER | Large Scale Frequent Pattern Mining Using MPI One-Sided Model. | Abhinav Vishnu, Khushbu Agarwal |
| 2015 | CLUSTER | Fast and Accurate Support Vector Machines on Large Scale Systems. | Abhinav Vishnu, Jeyanthi Narasimhan, Lawrence Holder, Darren J. Kerbyson, Adolfy Hoisie |
| 2015 | PPoPP | Diagnosing the causes and severity of one-sided message contention. | Nathan R. Tallent, Abhinav Vishnu, Hubertus Van Dam, Jeff Daily, Darren J. Kerbyson, Adolfy Hoisie |
| 2015 | SC | A case for application-oblivious energy-efficient MPI runtime. | Akshay Venkatesh, Abhinav Vishnu, Khaled Hamidouche, Nathan R. Tallent, Dhabaleswar K. Panda, Darren J. Kerbyson, Adolfy Hoisie |
| 2014 | HiPC | On the suitability of MPI as a PGAS runtime. | Jeff Daily, Abhinav Vishnu, Bruce J. Palmer, Hubertus Van Dam, Darren J. Kerbyson |
| 2012 | CCGRID | Global Futures: A Multithreaded Execution Model for Global Arrays-based Applications. | Daniel G. Chavarra-Miranda, Sriram Krishnamoorthy, Abhinav Vishnu |
| 2012 | HiPC | Designing scalable PGAS communication subsystems on cray gemini interconnect. | Abhinav Vishnu, Jeff Daily, Bruce J. Palmer |
| 2012 | ICPADS | Comparing the Performance of Blue Gene/Q with Leading Cray XE6 and InfiniBand Systems. | Darren J. Kerbyson, Kevin J. Barker, Abhinav Vishnu, Adolfy Hoisie |
| 2011 | CLUSTER | Energy Templates: Exploiting Application Information to Save Energy. | Darren J. Kerbyson, Abhinav Vishnu, Kevin J. Barker |
| 2011 | HOTI | Evaluating the Potential of Cray Gemini Interconnect for PGAS Communication Runtime Systems. | Abhinav Vishnu, Monika ten Bruggencate, Ryan Olson |
| 2010 | CCGRID | Efficient On-Demand Connection Management Mechanisms with PGAS Models over InfiniBand. | Abhinav Vishnu, Manojkumar Krishnan |
| 2010 | HiPC | Fault-tolerant communication runtime support for data-centric programming models. | Abhinav Vishnu, Huub J. J. Van Dam, Wibe de Jong, Pavan Balaji, Shuaiwen Song |
| 2009 | CLUSTER | An efficient hardware-software approach to network fault tolerance with InfiniBand. | Abhinav Vishnu, Manojkumar Krishnan, Dhabaleswar K. Panda |
| 2007 | CCGRID | High Performance Distributed Lock Management Services using Network-based Remote Atomic Operations. | Sundeep Narravula, A. Marnidala, Abhinav Vishnu, Karthikeyan Vaidyanathan, Dhabaleswar K. Panda |
| 2007 | CCGRID | Hot-Spot Avoidance With Multi-Pathing Over InfiniBand: An MPI Perspective. | Abhinav Vishnu, Matthew J. Koop, Adam Moody, Amith R. Mamidala, Sundeep Narravula, Dhabaleswar K. Panda |
| 2007 | ICPP | High Performance MPI over iWARP: Early Experiences. | Sundeep Narravula, Amith R. Mamidala, Abhinav Vishnu, Gopalakrishnan Santhanaraman, Dhabaleswar K. Panda |
| 2007 | PPoPP | On using connection-oriented vs. connection-less transport for performance and scalability of collective and one-sided operations: trade-offs and impact. | Amith R. Mamidala, Sundeep Narravula, Abhinav Vishnu, Gopalakrishnan Santhanaraman, Dhabaleswar K. Panda |
| 2006 | HOTI | Memory Scalability Evaluation of the Next-Generation Intel Bensley Platform with InfiniBand. | Matthew J. Koop, Wei Huang, Abhinav Vishnu, Dhabaleswar K. Panda |
| 2006 | SC | Scalable systems software - A software based approach for providing network fault tolerance in clusters with uDAPL interface: MPI level design and performance evaluation. | Abhinav Vishnu, Prachi Gupta, Amith R. Mamidala, Dhabaleswar K. Panda |
| 2005 | HiPC | Supporting MPI-2 One Sided Communication on Multi-rail InfiniBand Clusters: Design Challenges and Performance Benefits. | Abhinav Vishnu, Gopalakrishnan Santhanaraman, Wei Huang, Hyun-Wook Jin, Dhabaleswar K. Panda |
| 2005 | HOTI | Can Memory-Less Network Adapters Benefit Next-Generation InfiniBand Systems?. | Sayantan Sur, Abhinav Vishnu, Hyun-Wook Jin, Wei Huang, Dhabaleswar K. Panda |
| 2004 | HOTI | Performance evaluation of InfiniBand with PCI Express. | Jiuxing Liu, Amith R. Mamidala, Abhinav Vishnu, Dhabaleswar K. Panda |
| 2004 | SC | Building Multirail InfiniBand Clusters: MPI-Level Design and Performance Evaluation. | Jiuxing Liu, Abhinav Vishnu, Dhabaleswar K. Panda |