Francisco Muñoz-Martínez

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 13

Top Topics

Convolutional Neural Networks

Tightly Coupled

Matrix Multiplication

Top Venues

Future Gener. Comput. Syst.

Publications

Gauthaman Murali, Aditya Iyer, Lingjun Zhu, Jianming Tong, Francisco Muñoz-Martínez, Srivatsa Rangachar Srinivasa, Tanay Karnik, Tushar Krishna, Sung Kyu Lim
On Continuing DNN Accelerator Architecture Scaling Using Tightly Coupled Compute-on-Memory 3-D ICs. IEEE Trans. Very Large Scale Integr. Syst. 31 (10) (2023)
Francisco Muñoz-Martínez, Raveesh Garg, Michael Pellauer, José L. Abellán, Manuel E. Acacio, Tushar Krishna
Flexagon: A Multi-dataflow Sparse-Sparse Matrix Multiplication Accelerator for Efficient DNN Processing. ASPLOS (3) (2023)
Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio, Tushar Krishna
STIFT: A Spatio-Temporal Integrated Folding Tree for Efficient Reductions in Flexible DNN Accelerators. ACM J. Emerg. Technol. Comput. Syst. 19 (4) (2023)
Francisco Muñoz-Martínez, Raveesh Garg, José L. Abellán, Michael Pellauer, Manuel E. Acacio, Tushar Krishna
Flexagon: A Multi-Dataflow Sparse-Sparse Matrix Multiplication Accelerator for Efficient DNN Processing. CoRR (2023)
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
Understanding the Design-Space of Sparse/Dense Multiphase GNN dataflows on Spatial Accelerators. IPDPS (2022)
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
A Taxonomy for Classification and Comparison of Dataflows for GNN Accelerators. CoRR (2021)
Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio, Tushar Krishna
STONNE: Enabling Cycle-Level Microarchitectural Simulation for DNN Inference Accelerators. IISWC (2021)
Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio, Tushar Krishna
A novel network fabric for efficient spatio-temporal reduction in flexible DNN accelerators. NOCS (2021)
Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio, Tushar Krishna
STONNE: Enabling Cycle-Level Microarchitectural Simulation for DNN Inference Accelerators. IEEE Comput. Archit. Lett. 20 (2) (2021)
Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio, Tushar Krishna
STONNE: A Detailed Architectural Simulator for Flexible Neural Network Accelerators. CoRR (2020)
Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio
InsideNet: A tool for characterizing convolutional neural networks. Future Gener. Comput. Syst. 100 (2019)
Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio
CNN-SIM: A Detailed Arquitectural Simulator of CNN Accelerators. Euro-Par Workshops (2019)
Francisco Muñoz-Martínez, Manuel E. Acacio
SAWS: Simple and Adaptive Warp Scheduling for Improved Performance in Throughput Processors. PDP (2018)