3 citations · 3 across the 7 of their papers we have counts for
4 papers · 1 filter
Agentic Coding in the Wild: Characterizing GitHub Copilot Traces at Production Scale
Banruo Liu, Haoran Qiu, Ãñigo Goiri +3
AI coding agents like GitHub Copilot, Claude Code, and Codex interleave multi-step LLM inference with tool execution, creating a workload different from chatbots. We present the fi…
Natural Language Query to Configuration for Retrieval Agents
Melissa Z. Pan, Negar Arabzadeh, Mathew Jacob +3
Modern retrieval agents expose many configuration choices -- LLM, retriever, number of documents, number of hops, and synthesis strategy -- each shaping both answer quality and ser…
Input-Dependent Power Usage in GPUs
Theo Gregersen, Pratyush Patel, Esha Choukse
GPUs are known to be power-hungry, and due to the boom in artificial intelligence, they are currently the major contributors to the high power demands of upcoming datacenters. Most…
DynamoLLM: Designing LLM Inference Clusters for Performance and Energy Efficiency
Jovan Stojkovic, Chaojie Zhang, Ãñigo Goiri +2
The rapid evolution and widespread adoption of generative large language models (LLMs) have made them a pivotal workload in various applications. Today, LLM inference clusters rece…