Artículos con órdenes de acceso público - Abhinav VishnuMás información
No disponibles en ningún lugar: 4
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, 179-215, 2016
Órdenes: US Department of Energy
Generating performance models for irregular applications
RD Friese, NR Tallent, A Vishnu, DJ Kerbyson, A Hoisie
2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2017
Órdenes: US Department of Energy
Transitioning NWChem to the next generation of manycore machines
EJ Bylaska, E Aprà, K Kowalski, M Jacquelin, WA De Jong, A Vishnu, ...
Exascale scientific applications: scalability and performance portability 165, 2017
Órdenes: US Department of Energy
SCaLeM: a framework for characterizing and analyzing execution models
D Chavarría-Miranda, J Manzano, S Krishnamoorthy, A Vishnu, K Barker, ...
Proceedings of the 20 Years of Beowulf Workshop on Honor of Thomas Sterling …, 2014
Órdenes: US Department of Energy
Disponibles en algún lugar: 31
Deep learning for computational chemistry
GB Goh, NO Hodas, A Vishnu
Journal of computational chemistry 38 (16), 1291-1307, 2017
Órdenes: US Department of Energy
NWChem: Past, present, and future
E Apra, EJ Bylaska, WA De Jong, N Govind, K Kowalski, TP Straatsma, ...
The Journal of chemical physics 152 (18), 2020
Órdenes: US Department of Energy, US Department of Defense
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, 751-774, 2016
Órdenes: US Department of Energy
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
Órdenes: US National Science Foundation, US Department of Defense, National Natural …
CFDNet: A deep learning-based accelerator for fluid simulations
O Obiols-Sales, A Vishnu, N Malaya, A Chandramowliswharan
Proceedings of the 34th ACM international conference on supercomputing, 1-12, 2020
Órdenes: US National Science Foundation
Desh: deep learning for system health prediction of lead times to failure in hpc
A Das, F Mueller, C Siegel, A Vishnu
Proceedings of the 27th international symposium on high-performance parallel …, 2018
Órdenes: US National Science Foundation, US Department of Energy, US Department of …
Using rule-based labels for weak supervised learning: a ChemNet for transferable chemical property prediction
GB Goh, C Siegel, A Vishnu, N Hodas
Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018
Órdenes: US National Science Foundation, US Department of Energy
Kleio: A hybrid memory page scheduler with machine intelligence
TD Doudali, S Blagodurov, A Vishnu, S Gurumurthi, A Gavrilovska
Proceedings of the 28th International Symposium on High-Performance Parallel …, 2019
Órdenes: US National Science Foundation, US Department of Energy
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
Órdenes: US Department of Energy
Scaling deep learning workloads: Nvidia dgx-1/pascal and intel knights landing
NA Gawande, JA Daily, C Siegel, NR Tallent, A Vishnu
Future Generation Computer Systems 108, 1162-1172, 2020
Órdenes: US Department of Energy
A case for application-oblivious energy-efficient MPI runtime
A Venkatesh, A Vishnu, K Hamidouche, N Tallent, D Panda, D Kerbyson, ...
Proceedings of the international conference for high performance computing …, 2015
Órdenes: US Department of Energy
Effective machine learning based format selection and performance modeling for SpMV on GPUs
I Nisa, C Siegel, AS Rajam, A Vishnu, P Sadayappan
2018 IEEE International Parallel and Distributed Processing Symposium …, 2018
Órdenes: US National Science Foundation
Improving underwater localization accuracy with machine learning
LT Rauchenstein, A Vishnu, X Li, ZD Deng
Review of Scientific Instruments 89 (7), 2018
Órdenes: US Department of Energy, US Department of Defense
Evaluating on-node gpu interconnects for deep learning workloads
NR Tallent, NA Gawande, C Siegel, A Vishnu, A Hoisie
High Performance Computing Systems. Performance Modeling, Benchmarking, and …, 2018
Órdenes: US Department of Energy
On the suitability of MPI as a PGAS runtime
J Daily, A Vishnu, B Palmer, H Van Dam, D Kerbyson
2014 21st International Conference on High Performance Computing (HiPC), 1-10, 2014
Órdenes: US Department of Energy
Fault modeling of extreme scale applications using machine learning
A Vishnu, H Van Dam, NR Tallent, DJ Kerbyson, A Hoisie
2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2016
Órdenes: US Department of Energy
La información de publicación y financiación se determina de forma automática mediante un programa informático