2 papers
cs.AR2025
Concorde: Fast and Accurate CPU Performance Modeling with Compositional Analytical-ML Fusion
Arash Nasr-Esfahany, Mohammad Alizadeh, Victor Lee +9
Cycle-level simulators such as gem5 are widely used in microarchitecture design, but they are prohibitively slow for large-scale design space explorations. We present Concorde, a n…
cs.IR2025
RAGO: Systematic Performance Optimization for Retrieval-Augmented Generation Serving
Wenqi Jiang, Suvinay Subramanian, Cat Graves +3
Retrieval-augmented generation (RAG), which combines large language models (LLMs) with retrievals from external knowledge databases, is emerging as a popular approach for reliable…