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cs.DC2026
TaxBreak: Unmasking the Hidden Costs of LLM Inference Through Overhead Decomposition
Prabhu Vellaisamy, Shreesh Tripathi, Vignesh Natarajan +3
Large Language Model (LLM) inference is widely used in interactive assistants and agentic systems. In latency-sensitive deployments, inference time can become dominated by host-sid…
cs.DC2025★ 4 cited
Characterizing and Optimizing LLM Inference Workloads on CPU-GPU Coupled Architectures
Prabhu Vellaisamy, Thomas Labonte, Sourav Chakraborty +3
Large language model (LLM)-based inference workloads increasingly dominate data center costs and resource utilization. Therefore, understanding the inference workload characteristi…