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cs.AR2026

Beyond Static Policies: Dynamic Selection Among Modern Microarchitectural Policies

Yanxin Zhang, Ian McDougall, Junnan Li +3

Modern processors gain performance from interacting policies: prefetchers, predictors, replacement rules, and schedulers. These policies are often evaluated one at a time, yet a po…

cs.AR2026

Beyond Static Policies: Exploring Dynamic Policy Selection for Single-Thread Performance Optimization

Yanxin Zhang, Ian McDougall, Junnan Li +3

For over a decade, processor design has focused on implementing sophisticated policies for various components of the out-of-order pipeline, including cache replacement and prefetch…

cs.AR2025

Privacy-Preserving Performance Profiling of In-The-Wild GPUs

Ian McDougall, Michael Davies, Rahul Chatterjee +2

GPUs are the dominant platform for many important applications today including deep learning, accelerated computing, and scientific simulation. However, as the complexity of both a…

cs.AR2025

IPU: Flexible Hardware Introspection Units

Ian McDougall, Shayne Wadle, Harish Batchu +1

Modern chip designs are increasingly complex, making it difficult for developers to glean meaningful insights about hardware behavior while real workloads are running. Hardware int…

cs.AR2025

Pedagogically Motivated and Composable Open-Source RISC-V Processors for Computer Science Education

Ian McDougall, Harish Batchu, Michael Davies +1

While most instruction set architectures (ISAs) are only available to use through the purchase of a restrictive commercial license, the RISC-V ISA presents a free and open-source a…