Abhinav Vishnu
Abhinav Vishnu
Principal Member of Technical Staff, AMD
Verified email at amd.com - Homepage
Cited by
Cited by
Deep learning for computational chemistry
GB Goh, NO Hodas, A Vishnu
Journal of computational chemistry 38 (16), 1291-1307, 2017
A survey and taxonomy on energy efficient resource allocation techniques for cloud computing systems
A Hameed, A Khoshkbarforoushha, R Ranjan, PP Jayaraman, J Kolodziej, ...
Computing 98 (7), 751-774, 2016
An overview of energy efficiency techniques in cluster computing systems
GL Valentini, W Lassonde, SU Khan, N Min-Allah, SA Madani, J Li, ...
Cluster Computing 16 (1), 3-15, 2013
A survey on resource allocation in high performance distributed computing systems
H Hussain, SUR Malik, A Hameed, SU Khan, G Bickler, N Min-Allah, ...
Parallel Computing 39 (11), 709-736, 2013
Chemception: a deep neural network with minimal chemistry knowledge matches the performance of expert-developed QSAR/QSPR models
GB Goh, C Siegel, A Vishnu, NO Hodas, N Baker
arXiv preprint arXiv:1706.06689, 2017
Building multirail infiniband clusters: Mpi-level design and performance evaluation
J Liu, A Vishnu, DK Panda
SC'04: Proceedings of the 2004 ACM/IEEE conference on Supercomputing, 33-33, 2004
Designing topology-aware collective communication algorithms for large scale infiniband clusters: Case studies with scatter and gather
K Kandalla, H Subramoni, A Vishnu, DK Panda
2010 IEEE International Symposium on Parallel & Distributed Processing …, 2010
Iso-energy-efficiency: An approach to power-constrained parallel computation
S Song, CY Su, R Ge, A Vishnu, KW Cameron
2011 IEEE International Parallel & Distributed Processing Symposium, 128-139, 2011
Hot-spot avoidance with multi-pathing over infiniband: An mpi perspective
A Vishnu, M Koop, A Moody, AR Mamidala, S Narravula, DK Panda
Seventh IEEE International Symposium on Cluster Computing and the Grid …, 2007
GossipGraD: Scalable Deep Learning using Gossip Communication based Asynchronous Gradient Descent
J Daily, A Vishnu, T Warfel, V Amatya
https://arxiv.org/pdf/1803.05880.pdf, 2018
Distributed tensorflow with MPI
A Vishnu, C Siegel, J Daily
arXiv preprint arXiv:1603.02339, 2016
Smiles2vec: An interpretable general-purpose deep neural network for predicting chemical properties
GB Goh, NO Hodas, C Siegel, A Vishnu
arXiv preprint arXiv:1712.02034, 2017
Performance analysis of data intensive cloud systems based on data management and replication: a survey
SUR Malik, SU Khan, SJ Ewen, N Tziritas, J Kolodziej, AY Zomaya, ...
Distributed and Parallel Databases 34 (2), 179-215, 2016
Efficient shared memory and RDMA based design for MPI_Allgather over infiniband
AR Mamidala, A Vishnu, DK Panda
European Parallel Virtual Machine/Message Passing Interface Users’ Group …, 2006
Mapping communication layouts to network hardware characteristics on massive-scale blue gene systems
P Balaji, R Gupta, A Vishnu, P Beckman
Computer Science-Research and Development 26 (3-4), 247-256, 2011
How much chemistry does a deep neural network need to know to make accurate predictions?
GB Goh, C Siegel, A Vishnu, N Hodas, N Baker
2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 1340-1349, 2018
Designing energy efficient communication runtime systems for data centric programming models
A Vishnu, S Song, A Marquez, K Barker, D Kerbyson, K Cameron, P Balaji
2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l …, 2010
Evaluating infiniband performance with pci express
J Liu, A Mamidala, A Vishnu, DK Panda
IEEE Micro 25 (1), 20-29, 2005
A case for application-oblivious energy-efficient MPI runtime
A Venkatesh, A Vishnu, K Hamidouche, N Tallent, D Panda, D Kerbyson, ...
SC'15: Proceedings of the International Conference for High Performance …, 2015
Energy templates: Exploiting application information to save energy
DJ Kerbyson, A Vishnu, KJ Barker
2011 IEEE International Conference on Cluster Computing, 225-233, 2011
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