Author

R. Zhang

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Review Sep 2026

SiliconBench: Speed, Memory, and Fidelity for LLM Serving on Unified-Memory Desktops

Concurrent local LLM serving on unified-memory desktops must preserve memory headroom and output fidelity, which speed-only rankings overlook. We introduce SiliconBench, which evaluates nine Apple Silicon serving engines through three lenses: speed, memory, and fidelity. We evaluate chat and agent serving on Qwen3, Qwe...

Ran-Ran Zhang, A. X. Fan, David Munhá Correia et al. · 0 citations

#artificial intelligence Preprint Oct 2025

Correctness Forensics for Batch Speculative Decoding: Diagnosing the Ragged Tensor Problem

A forensic analysis of batch speculative decoding is conducted and it is found that several widely-used implementations silently produce corrupted outputs while reporting competitive speed; failures invisible to metrics like ROUGE.

R. Zhang, Soumik Dey, Ashirbad Mishra et al. · 3 citations