From the 1 of 15 linked papers with an AI index.
15 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…
Computer Architecture's AlphaZero Moment: Automated Discovery in an Encircled World
Karthikeyan Sankaralingam
The end of Moore's Law and Dennard scaling has fundamentally changed the economics of computer architecture. With transistor scaling delivering diminishing returns, architectural i…
The Impact Market to Save Conference Peer Review: Decoupling Dissemination and Credentialing
Karthikeyan Sankaralingam
Top-tier academic conferences are failing under the strain of two irreconcilable roles: (1) rapid dissemination of all sound research and (2) scarce credentialing for prestige and…
LIMINAL: Exploring The Frontiers of LLM Decode Performance
Michael Davies, Neal Crago, Karthikeyan Sankaralingam +1
The rapid advancement of Large Language Models (LLMs) necessitates a deep understanding of their fundamental performance limits. This paper investigates the limits of LLM inference…