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cs.CL2025
The Cambrian Explosion of Mixed-Precision Matrix Multiplication for Quantized Deep Learning Inference
Héctor Martínez, Adrián Castelló, Francisco D. Igual +1
Recent advances in deep learning (DL) have led to a shift from traditional 64-bit floating point (FP64) computations toward reduced-precision formats, such as FP16, BF16, and 8- or…
cs.CL2023
Automatic Generators for a Family of Matrix Multiplication Routines with Apache TVM
Guillermo Alaejos, Adrián Castelló, Pedro Alonso-Jordá +3
We explore the utilization of the Apache TVM open source framework to automatically generate a family of algorithms that follow the approach taken by popular linear algebra librari…