148 citations · 428 across the 18 of their papers we have counts for
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cs.AI2025
Pushing the Envelope of LLM Inference with Ultra-Low-Bit Quantized Models
Evangelos Georganas, Dhiraj Kalamkar, Alexander Heinecke +1
The advent of ultra-low-bit LLM models, approaching the perplexity and task accuracy of their full precision counterparts, is ushering in a new era of LLM inference. While these ad…
cs.AI2021★ 3 cited
Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning & HPC Workloads
Evangelos Georganas, Dhiraj Kalamkar, Sasikanth Avancha +16
During the past decade, novel Deep Learning (DL) algorithms, workloads and hardware have been developed to tackle a wide range of problems. Despite the advances in workload and har…