Hanning Chen
2 indexed papers
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226
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Architecture×2ML×2OS×2
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2026
ExaGEMM: Exploration Framework for CPU-Driven ML Inference via Associative In-Register Computing for Low-Bit GEMM
The paper presents ExaGEMM, a framework for designing and exploring CPU-native low-bit GEMM via register-resident LUT execution.
PolyQ: Codesigning End-to-End Quantization Framework for Scalable Edge CPU LLM Inference
PolyQ is a compiler/quantization co-design for activation-aware channel-wise bit allocation on CPUs, providing stable quality scaling and energy efficiency for fine-grained fractional-bit CPU deployment.
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cs.ARcs.LGcs.OSEmpiricalRecentJul 16, 2026
ExaGEMM: Exploration Framework for CPU-Driven ML Inference via Associative In-Register Computing for Low-Bit GEMM
Hyunwoo Oh, Suyeon Jang, Hanning Chen, Sanggeon Yun +2 more
The paper presents ExaGEMM, a framework for designing and exploring CPU-native low-bit GEMM via register-resident LUT execution.
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cs.LGcs.ARcs.OSEmpirical