Francisco Muñoz-Martínez

According to our database, Francisco Muñoz-Martínez authored at least 11 papers between 2018 and 2023.

Collaborative distances:

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

2023

On Continuing DNN Accelerator Architecture Scaling Using Tightly Coupled Compute-on-Memory 3-D ICs.

Gauthaman Murali, Aditya Iyer, Lingjun Zhu, Jianming Tong, Francisco Muñoz-Martínez, Srivatsa Rangachar Srinivasa, Tanay Karnik, Tushar Krishna, Sung Kyu Lim

IEEE Trans. Very Large Scale Integr. Syst., October, 2023

STIFT: A Spatio-Temporal Integrated Folding Tree for Efficient Reductions in Flexible DNN Accelerators.

Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio, Tushar Krishna

ACM J. Emerg. Technol. Comput. Syst., October, 2023

Flexagon: A Multi-dataflow Sparse-Sparse Matrix Multiplication Accelerator for Efficient DNN Processing.

Francisco Muñoz-Martínez, Raveesh Garg, Michael Pellauer, José L. Abellán, Manuel E. Acacio, Tushar Krishna

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

Understanding the Design-Space of Sparse/Dense Multiphase GNN dataflows on Spatial Accelerators.

Raveesh Garg, Eric Qin, Francisco Muñoz-Martínez, Robert Guirado, Akshay Jain, Sergi Abadal, José L. Abellán, Manuel E. Acacio, Eduard Alarcón, Sivasankaran Rajamanickam, Tushar Krishna

Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

2021

A Taxonomy for Classification and Comparison of Dataflows for GNN Accelerators.

Raveesh Garg, Eric Qin, Francisco Muñoz-Martínez, Robert Guirado, Akshay Jain, Sergi Abadal, José L. Abellán, Manuel E. Acacio, Eduard Alarcón, Sivasankaran Rajamanickam, Tushar Krishna

CoRR, 2021

STONNE: Enabling Cycle-Level Microarchitectural Simulation for DNN Inference Accelerators.

Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio, Tushar Krishna

IEEE Comput. Archit. Lett., 2021

A novel network fabric for efficient spatio-temporal reduction in flexible DNN accelerators.

Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio, Tushar Krishna

Proceedings of the NOCS '21: International Symposium on Networks-on-Chip, 2021

2020

STONNE: A Detailed Architectural Simulator for Flexible Neural Network Accelerators.

Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio, Tushar Krishna

CoRR, 2020

2019

InsideNet: A tool for characterizing convolutional neural networks.

Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio

Future Gener. Comput. Syst., 2019

CNN-SIM: A Detailed Arquitectural Simulator of CNN Accelerators.

Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio

Proceedings of the Euro-Par 2019: Parallel Processing Workshops, 2019

2018

SAWS: Simple and Adaptive Warp Scheduling for Improved Performance in Throughput Processors.

Francisco Muñoz-Martínez, Manuel E. Acacio

Proceedings of the 26th Euromicro International Conference on Parallel, 2018