From the 1 of 7 linked papers with an AI index.
7 papers
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…
Can LLMs Perform Deep Technical Comprehension of Computer Architecture Papers?
Nishant Aggarwal, Ayushi Dubal, Sreeraj Kannakarankodi +7
The paper investigates whether large language models can deeply understand and critique computer architecture research papers, using a multi‑agent pipeline called Gauntlet that sim…
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…
Agora: Bridging the GPU Cloud Resource-Price Disconnect
Ian McDougall, Noah Scott, Joon Huh +2
The historic trend of Moore's Law, which predicted exponential growth in computational performance per dollar, has diverged for modern Graphics Processing Units (GPUs). While Float…
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…
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…