1 citations · 1 across the 3 of their papers we have counts for
3 papers
VENOM: A Vectorized N:M Format for Unleashing the Power of Sparse Tensor Cores
Roberto L. Castro, Andrei Ivanov, Diego Andrade +3
The increasing success and scaling of Deep Learning models demands higher computational efficiency and power. Sparsification can lead to both smaller models as well as higher compu…
TMPNN: High-Order Polynomial Regression Based on Taylor Map Factorization
Andrei Ivanov, Stefan Maria Ailuro
Polynomial regression is widely used and can help to express nonlinear patterns. However, considering very high polynomial orders may lead to overfitting and poor extrapolation abi…
SAGE: Software-based Attestation for GPU Execution
Andrei Ivanov, Benjamin Rothenberger, Arnaud Dethise +3
With the application of machine learning to security-critical and sensitive domains, there is a growing need for integrity and privacy in computation using accelerators, such as GP…