cs.AR · 2026-09-24 · No. 123
Hardware Architecture, 2026-09-24.
1 new papers in cs.AR. Titles, authors,
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01 — The papers
1 entries-
01
MicroQonv: Reshaping Convolution Tensors for Efficient Microscaling in Training and Inference
Romain Facq, Sami Ben Ali, Olivier Sentieys
cs.AR · cs.AI
Microscaling quantization techniques are increasingly used to represent neural network parameters with 8 bits or fewer while preserving near-full precision accuracy. However, applying these methods efficiently in convolutional layers is not straightforward. A naive approach transfers full-precision weights and activations to processing units and quantizes each tensor twice, resulting in much more memory movement than expected. Additional...
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