E-LIB Suche - Ergebnisse für: Vishnu, Abhinav

1

ADARNet: Deep Learning Predicts Adaptive Mesh Refinement:

, In: Proceedings of the 52nd International Conference on Parallel Processing,

Obiols-Sales, Octavi ; Vishnu, Abhinav ; Malaya, Nicholas. - p. 524-534 , 2023

Link: https://dl.acm.org/doi/1..

2

A Research Retrospective on AMD's Exascale Computing Journe:

, In: Proceedings of the 50th Annual International Symposium on Computer Architecture,

Loh, Gabriel H. ; Schulte, Michael J. ; Ignatowski, Mike... - p. 1-14 , 2023

Link: https://dl.acm.org/doi/1..

3

SURFNet: Super-Resolution of Turbulent Flows with Transfer ..:

, In: 2021 30th International Conference on Parallel Architectures and Compilation Techniques (PACT),

Obiols-Sales, Octavi ; Vishnu, Abhinav ; Malaya, Nicholas P.. - p. 331-344 , 2021

Link: https://doi.org/10.1109/..

4

CFDNet : a deep learning-based accelerator for fluid sim..:

, In: Proceedings of the 34th ACM International Conference on Supercomputing,

Obiols-Sales, Octavi ; Vishnu, Abhinav ; Malaya, Nicholas. - p. 1-12 , 2020

Link: https://dl.acm.org/doi/1..

5

Scaling Deep Learning workloads: NVIDIA DGX-1/Pascal and In..:

Gawande, Nitin A. ; Daily, Jeff A. ; Siegel, Charles..
Future Generation Computer Systems. 108 (2020) - p. 1162-1172 , 2020

Link: https://doi.org/10.1016/..

6

Foreword to the special issue for the Workshop on Parallel ..:

Balaji, Pavan ; Vishnu, Abhinav ; Chen, Yong
Parallel Computing. 83 (2019) - p. 1-2 , 2019

Link: https://doi.org/10.1016/..

7

Kleio : A Hybrid Memory Page Scheduler with Machine Inte..:

, In: Proceedings of the 28th International Symposium on High-Performance Parallel and Distributed Computing,

Doudali, Thaleia Dimitra ; Blagodurov, Sergey ; Vishnu, Abhinav.. - p. 37-48 , 2019

Link: https://dl.acm.org/doi/1..

8

Guest Editor's Introduction: P2S2: SI 2016:

Vishnu, Abhinav ; Balaji, Pavan ; Chen, Yong
Parallel Computing. 82 (2019) - p. 1-2 , 2019

Link: https://doi.org/10.1016/..

9

Parallel programming models and systems software for high-e..:

Si, Min ; Vishnu, Abhinav ; Chen, Yong
Parallel Computing. 89 (2019) - p. 102549 , 2019

Link: https://doi.org/10.1016/..

10

Improving underwater localization accuracy with machine lea..:

Rauchenstein, Lynn T. ; Vishnu, Abhinav ; Li, Xinya.
Review of Scientific Instruments. 89 (2018) 7 - p. , 2018

Link: https://doi.org/10.1063/..

11

ColdRoute: effective routing of cold questions in stack exc..:

Sun, Jiankai ; Vishnu, Abhinav ; Chakrabarti, Aniket..
Data Mining and Knowledge Discovery. 32 (2018) 5 - p. 1339-1367 , 2018

Link: https://doi.org/10.1007/..

12

NUMA-Caffe: NUMA-Aware Deep Learning Neural Networks:

Roy, Probir ; Song, Shuaiwen Leon ; Krishnamoorthy, Sriram...
ACM Transactions on Architecture and Code Optimization. 15 (2018) 2 - p. 1-26 , 2018

Link: https://doi.org/10.1145/..

13

Using Rule-Based Labels for Weak Supervised Learning : A..:

, In: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining,

Goh, Garrett B. ; Siegel, Charles ; Vishnu, Abhinav. - p. 302-310 , 2018

Link: https://dl.acm.org/doi/1..

14

Introduction to GraML 2018:

, In: 2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW),

Tumeo, Antonino ; Halappanavar, Mahantesh ; Feo, John.. - p. 1166-1167 , 2018

Link: https://doi.org/10.1109/..

15

NUMA-Caffe : NUMA-Aware Deep Learning Neural Networks:

Roy, Probir ; Song, Shuaiwen Leon ; Krishnamoorthy, Sriram...
ACM Transactions on Architecture and Code Optimization (TACO). 15 (2018) 2 - p. 1-26 , 2018

Link: https://dl.acm.org/doi/1..