A curated list of research papers, datasets, and tools for applying machine learning/Deep learning techniques to compilers and program optimization.
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Updated
Sep 28, 2023
A curated list of research papers, datasets, and tools for applying machine learning/Deep learning techniques to compilers and program optimization.
Performance characterization and analysis tool for Ampere CPUs
Progetto d'esame sviluppato nell'ambito del corso di Impianti di Elaborazione del prof. Domenico Cotroneo, Università degli Studi di Napoli "Federico II", a.a. 2022-23
Workload characterization of a Linux system.
Progetto d'esame sviluppato nell'ambito del corso di Impianti di Elaborazione del prof. Domenico Cotroneo, Università degli Studi di Napoli "Federico II", a.a. 2022-23
Comparing LLM serving under real ShareGPT traces vs synthetic Poisson workloads. Real distributions produce 42x worse P99 TTFT and earlier SLO violations — scheduling policies only differentiate under heavy-tailed real traffic.
analyzing workloads
JackPine - A Geospatial Benchmark (Version 2.0)
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