Roberto L. Castro

According to our database, Roberto L. Castro authored at least 6 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MARLIN: Mixed-Precision Auto-Regressive Parallel Inference on Large Language Models.

Elias Frantar, Roberto L. Castro, Jiale Chen, Torsten Hoefler, Dan Alistarh

CoRR, 2024

STuning-DL: Model-Driven Autotuning of Sparse GPU Kernels for Deep Learning.

Roberto L. Castro, Diego Andrade, Basilio B. Fraguela

IEEE Access, 2024

2023

VENOM: A Vectorized N: M Format for Unleashing the Power of Sparse Tensor Cores.

Roberto L. Castro, Andrei Ivanov, Diego Andrade, Tal Ben-Nun, Basilio B. Fraguela, Torsten Hoefler

Proceedings of the International Conference for High Performance Computing, 2023

2022

Probing the Efficacy of Hardware-Aware Weight Pruning to Optimize the SpMM Routine on Ampere GPUs.

Roberto L. Castro, Diego Andrade, Basilio B. Fraguela

Proceedings of the International Conference on Parallel Architectures and Compilation Techniques, 2022

2020

Reusing Trained Layers of Convolutional Neural Networks to Shorten Hyperparameters Tuning Time.

Roberto L. Castro, Diego Andrade, Basilio B. Fraguela

CoRR, 2020

A Hybrid Approach for Tracking Individual Players in Broadcast Match Videos.

Roberto L. Castro, Diego Andrade, Basilio B. Fraguela

CoRR, 2020