A bit-sliced Tensor Core scheme with a bipolar integer encoding and adaptive kernel autotuning reports 1.65-3.99x speedups for ultra-low-bit GPTQ-quantized LLM inference on three NVIDIA GPUs.
Jumping nlp curves: A review of natural language processing research,
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APT-LLM: Exploiting Arbitrary-Precision Tensor Core Computing for LLM Acceleration
A bit-sliced Tensor Core scheme with a bipolar integer encoding and adaptive kernel autotuning reports 1.65-3.99x speedups for ultra-low-bit GPTQ-quantized LLM inference on three NVIDIA GPUs.