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cs.AR2026
SiliconBench: Speed, Memory, and Fidelity for LLM Serving on Unified-Memory Desktops
Ranran Haoran Zhang, Aysa Xuemo Fan, David Munhá Correia +2
Concurrent local LLM serving on unified-memory desktops must preserve memory headroom and output fidelity, which speed-only rankings overlook. We introduce SiliconBench, which eval…
cs.AR2025
FlexLink: Boosting your NVLink Bandwidth by 27% without accuracy concern
Ao Shen, Rui Zhang, Junping Zhao
As large language models (LLMs) continue to scale, multi-node deployment has become a necessity. Consequently, communication has become a critical performance bottleneck. Current i…