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cs.PF2026
Characterization of Request and Token Energy Costs for LLM Inference Workloads on GPU Platforms
Prabhu Vellaisamy, Vanessa Lam, Shawn Blanton +1
Large language model (LLM) inference serving is priced by tokens, but GPU energy is consumed over inference windows. This accounting mismatch makes token-normalized metrics incompl…
cs.PF2026
A-Graph: A Unified Graph Representation for Cross-Stack Cost Modeling
Daniel Price, Prabhu Vellaisamy, Patricia Gonzalez +3
As computer systems continue to diversify across technologies, architectures, applications, and beyond, the relevant design space has become larger and more complex. Given such tre…