BetaCitation Atlas

RESEARCH PAPER · ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC) · 2023

Auto-HPCnet: An Automatic Framework to Build Neural Network-based Surrogate for High-Performance Computing Applications

Wenqian Dong, Gökçen Kestor, Dong Li

Read original paper ↗

See where this research leads.

6 direct citing papers in this saved network. Explore the next layer with second-order citations.

Open in your workspace →Saved 2026-10-14 · complete coverage
Filter Citing Papers
Press Enter or comma to add · × to remove · searches titles and available abstracts
Journals
All journals
Most represented first · select one or more
Explore Terms In These PapersHide SuggestionsShow Suggestions

Original and current center papers stay visible as anchors.
Numbers show citations received
42 direct citing works

Auto-HPCnet: An Automatic Framework to Build Neural Network-based Surrogate for High-Performance Computing ApplicationsOriginalReFloat: Low-Cost Floating-Point Processing in ReRAM for Accelerating Iterative Linear Solvers9HPAC-ML: A Programming Model for Embedding ML Surrogates in Scientific Applications2ROSE: RADICAL Orchestrator for Surrogate Exploration2mLR: Scalable Laminography Reconstruction based on Memoization2Lumos: Democratizing SciML Workflows with L0-Regularized Learning for Unified Feature and Parameter Adaptation0Towards Building Reliable Machine Learning Surrogates for Scientific Applications0

Arrows point to the paper being cited. Selecting a paper shows its incoming citations and its known path back to the original paper.

Drag to pan · Use + / − to zoom · Escape to close43 nodes / 53 citation links
Browse Matching Papers

Papers that cite this work

6 direct citing papers saved.

  1. ReFloat: Low-Cost Floating-Point Processing in ReRAM for Accelerating Iterative Linear Solvers

    2012 International Conference for High Performance Computing, Networking, Storage and Analysis · 2023-10-30

    Linghao Song, Fan Chen, Hai Helen Li, Yiran Chen

    Read original paper ↗ ·

  2. HPAC-ML: A Programming Model for Embedding ML Surrogates in Scientific Applications

    2012 International Conference for High Performance Computing, Networking, Storage and Analysis · 2024-11-17

    Zane Fink, Konstantinos Parasyris, Praneet Rathi, Giorgis Georgakoudis, Harshitha Menon, Peer‐Timo Bremer

    Read original paper ↗ ·

  3. ROSE: RADICAL Orchestrator for Surrogate Exploration

    Unknown journal · 2025-11-07

    Aymen Al-Saadi, Tianle Wang, Andrew Park, Pradeep Bajracharya, Linwei Wang, Fanbo Sun, Sudip K. Seal, Vikram Jadhao, Geoffrey Fox, Shantenu Jha

    Read original paper ↗ ·

  4. mLR: Scalable Laminography Reconstruction based on Memoization

    2012 International Conference for High Performance Computing, Networking, Storage and Analysis · 2025-11-12

    Bin Ma, Viktor Nikitin, Xi Wang, Tekin Biçer, Dong Li

    Read original paper ↗ ·

  5. Lumos: Democratizing SciML Workflows with L0-Regularized Learning for Unified Feature and Parameter Adaptation

    Proceedings - IEEE International Parallel and Distributed Processing Symposium · 2026-05-25

    Shouwei Gao, Xu Zheng, Dongsheng Luo, Sheng Di, Wenqian Dong

    Read original paper ↗ ·

  6. Towards Building Reliable Machine Learning Surrogates for Scientific Applications

    IEEE Cloud Summit · 2026-06-01

    Bohan Zhang, Wenqian Dong, Guanpeng Li

    Read original paper ↗ ·
Citation Atlas · A map of research, not a ranking.