Cover Image

Stencil-Lifting: Hierarchical Recursive Lifting System for Extracting Summary of Stencil Kernel in Legacy Codes

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Mingyi, Xiao, Junmin, Chen, Siyan, Ma, Hui, Chen, Xi, Bao, Peihua, Yuan, Liang, Tan, Guangming
Format:	Preprint
Published:	2025
Subjects:	Software Engineering Performance Programming Languages
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Performance Optimization of 3D Stencil Computation on ARM Scalable Vector Extension
by: Chen, Hongguang
Published: (2025)

Cyclic Data Streaming on GPUs for Short Range Stencils Applied to Molecular Dynamics
by: Rose, Martin, et al.
Published: (2025)

MLKAPS: Machine Learning and Adaptive Sampling for HPC Kernel Auto-tuning
by: Jam, Mathys, et al.
Published: (2025)

FlipFlop: A Static Analysis-based Energy Optimization Framework for GPU Kernels
by: Rajput, Saurabhsingh, et al.
Published: (2026)

Hierarchical Recursive Precision for Accelerating Symmetric Linear Solves on MXUs
by: Carrica, Vicki, et al.
Published: (2026)

Beyond Accuracy: Unveiling Inefficiency Patterns in Tool-Integrated Reasoning
by: Su, Qisheng, et al.
Published: (2026)

Stencil Matrixization
by: Zhao, Wenxuan, et al.
Published: (2023)

KernelBench: Can LLMs Write Efficient GPU Kernels?
by: Ouyang, Anne, et al.
Published: (2025)

On the Compression of Language Models for Code: An Empirical Study on CodeBERT
by: d'Aloisio, Giordano, et al.
Published: (2024)

GPU Kernel Scientist: An LLM-Driven Framework for Iterative Kernel Optimization
by: Andrews, Martin, et al.
Published: (2025)

Can We Make Code Green? Understanding Trade-Offs in LLMs vs. Human Code Optimizations
by: Rani, Pooja, et al.
Published: (2025)

An Empirical Study on the Performance and Energy Usage of Compiled Python Code
by: Stoico, Vincenzo, et al.
Published: (2025)

Kevin: Multi-Turn RL for Generating CUDA Kernels
by: Baronio, Carlo, et al.
Published: (2025)

Integrating Performance Tools in Model Reasoning for GPU Kernel Optimization
by: Nichols, Daniel, et al.
Published: (2025)

Predicting Software Performance with Divide-and-Learn
by: Gong, Jingzhi, et al.
Published: (2023)

Do AI Models Dream of Faster Code? An Empirical Study on LLM-Proposed Performance Improvements in Real-World Software
by: Yi, Lirong, et al.
Published: (2025)

MultiKernelBench: A Multi-Platform Benchmark for Kernel Generation
by: Wen, Zhongzhen, et al.
Published: (2025)

Should AI Optimize Your Code? A Comparative Study of Classical Optimizing Compilers Versus Current Large Language Models
by: Rosas, Miguel Romero, et al.
Published: (2024)

SARIS: Accelerating Stencil Computations on Energy-Efficient RISC-V Compute Clusters with Indirect Stream Registers
by: Scheffler, Paul, et al.
Published: (2024)

Estimating the Energy Footprint of Software Systems: a Primer
by: Castor, Fernando
Published: (2024)

FaaSter Troubleshooting -- Evaluating Distributed Tracing Approaches for Serverless Applications
by: Borges, Maria C., et al.
Published: (2021)

gigiProfiler: Diagnosing Performance Issues by Uncovering Application Resource Bottlenecks
by: Hu, Yigong, et al.
Published: (2025)

A Magnified View into Heterogeneous-ISA Thread Migration Performance without State Transformation
by: Mavrogeorgis, Nikolaos, et al.
Published: (2025)

An Empirical Study on Method-Level Performance Evolution in Open-Source Java Projects
by: Shahedi, Kaveh, et al.
Published: (2025)

On the Role of Search Budgets in Model-Based Software Refactoring Optimization
by: Diaz-Pace, J. Andres, et al.
Published: (2023)

What Is the Cost of Energy Monitoring? An Empirical Study on the Overhead of RAPL-Based Tools
by: Diamond, Jeremy, et al.
Published: (2026)

Performance of Genetic Algorithms in the Context of Software Model Refactoring
by: Cortellessa, Vittorio, et al.
Published: (2023)

Towards Assessing Spread in Sets of Software Architecture Designs
by: Cortellessa, Vittorio, et al.
Published: (2024)

Scalable Software as a Service Architecture
by: Dedase, Ardy
Published: (2024)

Optimas: An Intelligent Analytics-Informed Generative AI Framework for Performance Optimization
by: Zaeed, Mohammad, et al.
Published: (2026)

RAO-SS: A Prototype of Run-time Auto-tuning Facility for Sparse Direct Solvers
by: Katagiri, Takahiro, et al.
Published: (2024)

A Test for FLOPs as a Discriminant for Linear Algebra Algorithms
by: Sankaran, Aravind, et al.
Published: (2022)

Towards a Higher Roofline for Matrix-Vector Multiplication in Matrix-Free HOSFEM
by: Cao, Zijian, et al.
Published: (2025)

Formal Analysis of Metastable Failures in Software Systems
by: Alvaro, Peter, et al.
Published: (2025)

Employing Software Diversity in Cloud Microservices to Engineer Reliable and Performant Systems
by: Akhtarian, Nazanin, et al.
Published: (2024)

Faster Base64 Encoding and Decoding Using AVX2 Instructions
by: Muła, Wojciech, et al.
Published: (2017)

Energy Patterns for Web: An Exploratory Study
by: Rani, Pooja, et al.
Published: (2024)

SysLLMatic: Large Language Models are Software System Optimizers
by: Peng, Huiyun, et al.
Published: (2025)

Efficiently Ranking Software Variants with Minimal Benchmarks
by: Matricon, Théo, et al.
Published: (2025)

Energy-Efficient Software Development: A Multi-dimensional Empirical Analysis of Stack Overflow
by: Jin, Bihui, et al.
Published: (2024)