Francisco Muñoz-Martínez

13 papers A 1C 1Journal 7Unranked 4
YearRankTypeTitle / Venue / Authors
2023 J jnl
Flexagon: A Multi-Dataflow Sparse-Sparse Matrix Multiplication Accelerator for Efficient DNN Processing.
CoRR
Francisco Muñoz-Martínez, Raveesh Garg, José L. Abellán, Michael Pellauer, Manuel E. Acacio, Tushar Krishna
2023 — conf
Flexagon: A Multi-dataflow Sparse-Sparse Matrix Multiplication Accelerator for Efficient DNN Processing.
ASPLOS (3)
Francisco Muñoz-Martínez, Raveesh Garg, Michael Pellauer, José L. Abellán, Manuel E. Acacio, Tushar Krishna
2023 J jnl
On Continuing DNN Accelerator Architecture Scaling Using Tightly Coupled Compute-on-Memory 3-D ICs.
IEEE Trans. Very Large Scale Integr. Syst.
Gauthaman Murali, Aditya Iyer, Lingjun Zhu, Jianming Tong, Francisco Muñoz-Martínez, Srivatsa Rangachar Srinivasa, Tanay Karnik, Tushar Krishna, Sung Kyu Lim
2023 J jnl
STIFT: A Spatio-Temporal Integrated Folding Tree for Efficient Reductions in Flexible DNN Accelerators.
ACM J. Emerg. Technol. Comput. Syst.
Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio, Tushar Krishna
2022 A conf
Understanding the Design-Space of Sparse/Dense Multiphase GNN dataflows on Spatial Accelerators.
IPDPS
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
2021 J jnl
A Taxonomy for Classification and Comparison of Dataflows for GNN Accelerators.
CoRR
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
2021 — conf
A novel network fabric for efficient spatio-temporal reduction in flexible DNN accelerators.
NOCS
Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio, Tushar Krishna
2021 — conf
STONNE: Enabling Cycle-Level Microarchitectural Simulation for DNN Inference Accelerators.
IISWC
Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio, Tushar Krishna
2021 J jnl
STONNE: Enabling Cycle-Level Microarchitectural Simulation for DNN Inference Accelerators.
IEEE Comput. Archit. Lett.
Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio, Tushar Krishna
2020 J jnl
STONNE: A Detailed Architectural Simulator for Flexible Neural Network Accelerators.
CoRR
Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio, Tushar Krishna
2019 — conf
CNN-SIM: A Detailed Arquitectural Simulator of CNN Accelerators.
Euro-Par Workshops
Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio
2019 J jnl
InsideNet: A tool for characterizing convolutional neural networks.
Future Gener. Comput. Syst.
Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio
2018 C conf
SAWS: Simple and Adaptive Warp Scheduling for Improved Performance in Throughput Processors.
PDP
Francisco Muñoz-Martínez, Manuel E. Acacio