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Publication search results
found 102 matches
- 2023
- Khaled Abdelaal, Richard Veras:
A Framework for Analyzing the Robustness of Graph Models. HPEC 2023: 1-6 - Anthony Angone, Xiaoyuan Liu, Ruslan Shaydulin, Ilya Safro:
Hybrid Quantum-Classical Multilevel Approach for Maximum Cuts on Graphs. HPEC 2023: 1-7 - Abu Asaduzzaman, Luke Mercer, Md. Raihan Uddin, Yoel Woldeyes:
Modeling and Analyzing Wind Velocity at Entrance Doors to Avoid Accidents. HPEC 2023: 1-5 - David A. Bader:
Fast Triangle Counting. HPEC 2023: 1-6 - David A. Bader, Fuhuan Li, Anya Ganeshan, Ahmet Gündogdu, Jason Lew, Oliver Alvarado Rodriguez, Zhihui Du:
Triangle Counting Through Cover-Edges. HPEC 2023: 1-7 - Cody J. Balos, Steven Roberts, David J. Gardner:
Leveraging Mixed Precision in Exponential Time Integration Methods. HPEC 2023: 1-8 - Mark Barnell, Courtney Raymond, Lisa Loomis, Darrek Isereau, Daniel Brown, Francesca Vidal, Steven Smiley:
Advanced Ultra Low-Power Deep Learning Applications with Neuromorphic Computing. HPEC 2023: 1-4 - Igor Betkier, Mateusz Oszczypala, Janusz Pobozniak, Sergiusz Sobieski:
Performance Analysis of Graph Neural Network (GNN) for Manufacturing Feature Recognition Problem. HPEC 2023: 1-6 - Ashish Bisht, Deepika H. V, Haribabu P, S. A. Kumar, S. D. Sudarsan:
A Holistic Optimisation - Success Mantra for HPC Performance. HPEC 2023: 1-6 - Chansup Byun, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Hayden Jananthan, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Guillermo Morales, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner:
pPython Performance Study. HPEC 2023: 1-7 - Anthony M. Cabrera, Yigit A. Yucesan, Frank Y. Liu, Willem Blokland, Jeffrey S. Vetter:
Errant Beam Detection Using the AMD Versal ACAP and Vitis AI. HPEC 2023: 1-6 - Chih-Chun Chang, Tsung-Wei Huang:
uSAP: An Ultra-Fast Stochastic Graph Partitioner. HPEC 2023: 1-7 - Kuan-Lin Chiu, Davide Giri, Luca Piccolboni, Luca P. Carloni:
An Analysis of Accelerator Data-Transfer Modes in NoC-Based SoC Architectures. HPEC 2023: 1-7 - Timothy Chong, Venkata Krishnan:
Addressing Endpoint-Induced Congestion for Accelerator Scale-Out in a Medium-Scale Domain. HPEC 2023: 1-8 - Justin Deters, Peyton Gozon, Max Camp-Oberhauser, Ron K. Cytron:
Feature-Oriented FSMs for FPGAs. HPEC 2023: 1-7 - Dana Diaconu, Yanyue Xie, Mehmet Güngör, Suranga Handagala, Xue Lin, Miriam Leeser:
Machine Learning Across Network-Connected FPGAs. HPEC 2023: 1-7 - Benoît Dupont de Dinechin, Julien Hascoët, Orégane Desrentes:
In-Place Multicore SIMD Fast Fourier Transforms. HPEC 2023: 1-6 - Ming Dun, Xu Zhang, Huawei Cao, Yuan Zhang, Junying Huang, Xiaochun Ye:
Adaptive Sparse Deep Neural Network Inference on Resource-Constrained Cost-Efficient GPUs. HPEC 2023: 1-7 - Daniel Edelman, Siddharth Samsi, Joseph McDonald, Adam Michaleas, Vijay Gadepally:
An Analysis of Energy Requirement for Computer Vision Algorithms. HPEC 2023: 1-7 - Alan Ehret, Peter Moore, Milan Stojkov, Michel A. Kinsy:
Hardware Root-of-Trust Support for Operational Technology Cybersecurity in Critical Infrastructures. HPEC 2023: 1-7 - Heliezer J. D. Espinoza, Jennifer A. Loe, Erik G. Boman:
Fast Spectral Graph Partitioning with a Randomized Eigensolver. HPEC 2023: 1-7 - Jacob Fein-Ashley, Tian Ye, Rajgopal Kannan, Viktor K. Prasanna, Carl E. Busart:
Benchmarking Deep Learning Classifiers for SAR Automatic Target Recognition. HPEC 2023: 1-6 - Lance G. Fletcher, Trevor Steil, Roger Pearce:
Optimizing a Distributed Graph Data Structure for K - Path Centrality Estimation on HPC. HPEC 2023: 1-7 - Leonardo Fraccaroli, Rosalba Giugno, Samuele Cancellieri, Federico Busato, Nicola Bombieri:
FAST-CON: a Multi-source Approach for Efficient S- T Connectivity on Sparse Graphs. HPEC 2023: 1-6 - Yu Gao, Meng Qin, Yibin Ding, Li Zeng, Chaorui Zhang, Weixi Zhang, Wei Han, Rongqian Zhao, Bo Bai:
RaftGP: Random Fast Graph Partitioning. HPEC 2023: 1-7 - Joshua Geyster, Karen Gettings, Paul Monticciolo, Matthew Rebholz:
Leveraging Mathworks Tools to Accelerate the Prototyping of Custom 5G Applications in Hardware. HPEC 2023: 1-6 - Atharva Gondhalekar, Wu-chun Feng:
On the Three P's of Parallel Programming for Heterogeneous Computing: Performance, Productivity, and Portability. HPEC 2023: 1-7 - Abhiram Rao Gorle, Pengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna:
G-MAP: A Graph Neural Network-Based Framework for Memory Access Prediction. HPEC 2023: 1-7 - Roy Gulla:
A look into a GraphBLAS Entry Point into an LLVM Lowering Pass, with A Precision Formatting Example. HPEC 2023: 1-4 - Neelesh Gupta, Pengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna:
PaCKD: Pattern-Clustered Knowledge Distillation for Compressing Memory Access Prediction Models. HPEC 2023: 1-7
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