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cs.PF2026
Warpline: Binary-Level Tracing and Unified Evidence for Agentic GPU Kernel Optimization
Junyu Yin, Vinod Grover, Keren Zhou
LLM agents are becoming GPU kernel engineers, but they still tune kernels without seeing where the time goes. Hardware profilers report how busy each unit was, not where each warp'…
cs.PF2026
HPC-Bench: A Comprehensive Benchmark for High Performance Computing Codes
Bowen Cui, Junyu Yin, Tejas Ramesh +3
Large Language Models (LLMs) have shown strong capabilities in code generation and reasoning, motivating extensive benchmarks for evaluating functional correctness. However, perfor…
cs.PF2024
DeepContext: A Context-aware, Cross-platform, and Cross-framework Tool for Performance Profiling and Analysis of Deep Learning Workloads
Qidong Zhao, Hao Wu, Yuming Hao +4
Effective performance profiling and analysis are essential for optimizing training and inference of deep learning models, especially given the growing complexity of heterogeneous c…