Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Nanda, Amitash"'
Large language models have transformed the comprehension and generation of natural language tasks, but they come with substantial memory and computational requirements. Quantization techniques have emerged as a promising avenue for addressing these c
Externí odkaz:
http://arxiv.org/abs/2412.03599
With Moore's law saturating and Dennard scaling hitting its wall, traditional Von Neuman systems cannot offer the GFlops/watt for compute-intensive algorithms such as CNN. Recent trends in unconventional computing approaches give us hope to design hi
Externí odkaz:
http://arxiv.org/abs/2208.03500