3 papers
cs.LG2026
MetaKube: An Experience-Aware LLM Framework for Kubernetes Failure Diagnosis
Wei Sun, Ting Wang, Xinran Tian +4
Existing LLM-based Kubernetes diagnostic systems cannot learn from operational experience, operating on static knowledge bases without improving from past resolutions. We present M…
cs.CV2025
TorchTraceAP: A New Benchmark Dataset for Detecting Performance Anti-Patterns in Computer Vision Models
Hanning Chen, Keyu Man, Kevin Zhu +8
Identifying and addressing performance anti-patterns in machine learning (ML) models is critical for efficient training and inference, but it typically demands deep expertise spann…
cs.SE2025
TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization
Haonan Li, Keyu Man, Partha Kanuparthy +6
High-performance GPU kernel optimization remains a critical yet labor-intensive task in modern machine learning workloads. Although Triton, a domain-specific language for GPU progr…