Software Engineering · Computer Science
Prioritizing Software Requirements Using Large Language Models
Malik Abdul Sami, Zeeshan Rasheed, Muhammad Waseem, Zheying Zhang +2
2024-05-06
Data Structures and Algorithms · Computer Science
Co-Scheduling Algorithms for High-Throughput Workload Execution
Guillaume Aupy, Manu Shantharam, Anne Benoit, Yves Robert +1
2013-05-01
Distributed, Parallel, and Cluster Computing · Computer Science
Performance-Aligned LLMs for Generating Fast Code
Daniel Nichols, Pranav Polasam, Harshitha Menon, Aniruddha Marathe +2
2024-04-30
Software Engineering · Computer Science
Large Language Models for Energy-Efficient Code: Emerging Results and Future Directions
Huiyun Peng, Arjun Gupte, Nicholas John Eliopoulos, Chien Chou Ho +7
2024-10-15
Distributed, Parallel, and Cluster Computing · Computer Science
Tutoring LLM into a Better CUDA Optimizer
Matyáš Brabec, Jiří Klepl, Michal Töpfer, Martin Kruliš
2025-10-21
Software Engineering · Computer Science
LLM4EFFI: Leveraging Large Language Models to Enhance Code Efficiency and Correctness
Tong Ye, Weigang Huang, Xuhong Zhang, Tengfei Ma +3
2025-02-27
Networking and Internet Architecture · Computer Science
Linker Code Size Optimization for Native Mobile Applications
Gai Liu, Umar Farooq, Chengyan Zhao, Xia Liu +1
2023-01-20
Distributed, Parallel, and Cluster Computing · Computer Science
Do Large Language Models Understand Performance Optimization?
Bowen Cui, Tejas Ramesh, Oscar Hernandez, Keren Zhou
2025-03-19
Programming Languages · Computer Science
Optimizing Function Layout for Mobile Applications
Ellis Hoag, Kyungwoo Lee, Julián Mestre, Sergey Pupyrev
2022-11-18
Software Engineering · Computer Science
SysLLMatic: Large Language Models are Software System Optimizers
Huiyun Peng, Arjun Gupte, Ryan Hasler, Nicholas John Eliopoulos +6
2026-05-07
Distributed, Parallel, and Cluster Computing · Computer Science
Teola: Towards End-to-End Optimization of LLM-based Applications
Xin Tan, Yimin Jiang, Yitao Yang, Hong Xu
2026-02-24
Performance · Computer Science
Dissecting the Runtime Performance of the Training, Fine-tuning, and Inference of Large Language Models
Longteng Zhang, Xiang Liu, Zeyu Li, Xinglin Pan +7
2023-12-04
Software Engineering · Computer Science
PerfCodeBench: Benchmarking LLMs for System-Level High-Performance Code Optimization
Huihao Jing, Wenbin Hu, Haochen Shi, Hanyu Yang +4
2026-05-18
Operating Systems · Computer Science
AppFlow: Memory Scheduling for Cold Launch of Large Apps on Mobile and Vehicle Systems
Xiaochen Li, Sicong Liu, Bin Guo, Yu Ouyang +3
2026-03-19
Distributed, Parallel, and Cluster Computing · Computer Science
Streaming supercomputing needs workflow-enabled programming-in-the-large
Justin M Wozniak, Jonathan Ozik, Daniel S. Katz, Michael Wilde
2017-02-27
Distributed, Parallel, and Cluster Computing · Computer Science
Improving the End-to-End Efficiency of Offline Inference for Multi-LLM Applications Based on Sampling and Simulation
Jingzhi Fang, Yanyan Shen, Yue Wang, Lei Chen
2025-03-24
Machine Learning · Computer Science
New Solutions on LLM Acceleration, Optimization, and Application
Yingbing Huang, Lily Jiaxin Wan, Hanchen Ye, Manvi Jha +4
2024-06-18
Performance · Computer Science
Software Performance Analysis
Michel R. Dagenais, Karim Yaghmour, Charles Levert, Makan Pourzandi
2007-05-23
Artificial Intelligence · Computer Science
Democratizing Large-Scale Re-Optimization with LLM-Guided Model Patches
Tinghan Ye, Arnaud Deza, Ved Mohan, El Mehdi Er Raqabi +1
2026-05-28
Distributed, Parallel, and Cluster Computing · Computer Science
Redesigning OP2 Compiler to Use HPX Runtime Asynchronous Techniques
Zahra Khatami, Hartmut Kaiser, J. Ramanujam
2017-03-29
Software Engineering · Computer Science
Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization
Mingzhe Du, Luu Anh Tuan, Yue Liu, Yuhao Qing +5
2025-06-04