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Flavio Sales Truzzi

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Book Open access Aug 2026

RecCompl: Efficient Model Compilation for Industrial Scale Recommendation Models with PyTorch 2

RecCompl is a comprehensive model compilation system that enables efficient model compilation of industrial scale DLRMs with PT2 and introduces a configuration-based user interface that decouples compilation settings from model code, allowing fine-grained control without intrusive changes.

Changji Li, Shuai Yang, Yuzhen Huang et al. · 0 citations
#artificial intelligence Preprint Aug 2026

ERASE: EaRly bAckpropagation SchEdule for Faster Training of Modern Recommendation Systems

The detachment mechanism of Forward-Forward (FF) is reinterpreted as a scheduling primitive: given a local objective, detaching a block's output removes downstream gradient dependencies, making its backward pass ready when its forward pass finishes.

Ergan Shang, Flavio Sales Truzzi · 0 citations