As large language model (LLM) inference demands ever-greater resources, there is a rapid growing trend of using low-bit weights to shrink memory usage and boost inference efficiency. However, these ...
Abstract: A low-power 12-bit successive approximation register (SAR) analog-to-digital converter (ADC) with split-capacitor, nonbinary-weighted, and multiple-least-significant-bit (LSB)-redundant ...
Abstract: This paper presents a 32 Gb/s non-return-to-zero optical link using 850-nm vertical-cavity surface-emitting laser-based multi-mode optics with 14-nm bulk FinFET CMOS circuits. The target ...
Quantization requires a large amount of CPU memory. However, the memory required can be reduced by using swap memory. Depending on the GPUs/drivers, there may be a difference in performance, which ...