An auto-tuning framework for parallel multicore stencil computations

Cited by (211)

Items 201–211 of 211

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3. Analysis of the Scope of Dynamic Power Management in Emerging Server Architectures
   Markus Hähnel, Waltenegus Dargie, Alexander Schill · 2017 · International Conference on Computer Communication and Networks (ICCCN)
4. Analytical Cost Metrics : Days of Future Past
   Los Alamos National Lab. (LANL), Los Alamos, NM (United States), Nirmal Prajapati, LDRD · 2018
5. Applicability of the Empirical Mode Decomposition for Power Traces of Large-Scale Applications
   Gary Lawson, Masha Sosonkina, Tal Ezer · 2018 · Lecture notes in computer science
6. Reducing Redundancy in Data Organization and Arithmetic Calculation for Stencil Computations
   Kun Li, Liang Yuan, Yunquan Zhang · 2021 · arXiv (Cornell University)
7. ASLI schenes as a kernel convolved way to optimize stencil computation.
   Guilherme C. Januário · 2021
8. Fast Stencil Computations using Fast Fourier Transforms
   Zafar Ahmad, Rezaul Chowdhury, Rathish Das · 2021 · arXiv (Cornell University)
9. APPFIS: An Advanced Parallel Programming Framework for Iterative Stencil Based Scientific Applications in HPC Environments
   Md Bulbul Sharif, Sheikh Ghafoor · 2022 · International Symposium on Parallel and Distributed Computing
10. From Optimal Solutions to Reusable Rules: A Knowledge-Driven Stencil Scheduling Framework
    Xi Zhang, H Liu, Junhua Zhang · 2026 · Lecture notes in computer science
11. VibeCodeHPC: A Multi LLM Agent System for HPC Code Auto-Tuning
    Shunichiro Hayashi, Koki Morita, Daichi Mukunoki, Tetsuya Hoshino, Takahiro Katagiri · 2026 · IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum