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Abstract: As deep neural networks have been performing better and better on various tasks, their number of parameters has been increasing, and the demand for computing power and storage has been ...
Abstract: As the “Mobile AI” revolution continues to grow, so does the need to understand the behaviour of edge-deployed deep neural networks. In particular, MobileNets [9], [22] are the go-to family ...
Large language models (LLMs) show excellent performance but are compute- and memory-intensive. Quantization can reduce memory and accelerate inference. However, for LLMs beyond 100 billion parameters, ...
SD.Next Quantization provides full cross-platform quantization to reduce memory usage and increase performance for any device. Triton enables the use of optimized kernels for much better performance.
Condensed-matter physics is the study of substances in their solid state. This includes the investigation of both crystalline solids in which the atoms are positioned on a repeating three-dimensional ...
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