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cs.DC2026
AReaL-TIK: Stateful Agentic Optimization of Unified RL Kernels through an Optimization IR
Ran Yan, Youhe Jiang, Jiayi Nie +5
Reinforcement learning (RL) post-training often uses distinct GPU kernels for rollout and policy update. In synchronous PPO and GRPO, numerical disagreement can perturb ratios betw…
cs.DC2026
When Does Disaggregation Pay? Simulating Prefill--Decode--Attention--FFN Specialization for Agentic LLM Inference
Przemyslaw Forys, Haoran Wu, Can Xiao +8
Agentic inference now dominates the LLM inference landscape, requiring LLMs to actively engage in multi-turn interactions with tool-calling capabilities. This introduces a more com…