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Francisco Muñoz-Martínez
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2020 – today
- 2023
- [j4]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): 32:1-32:20 (2023) - [j3]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): 1603-1613 (2023) - [c6]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: 252-265 - [i3]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 abs/2301.10852 (2023) - 2022
- [c5]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: 571-582 - 2021
- [j2]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): 122-125 (2021) - [c4]Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio
, Tushar Krishna:
STONNE: Enabling Cycle-Level Microarchitectural Simulation for DNN Inference Accelerators. IISWC 2021: 201-213 - [c3]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: 1-8 - [i2]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 abs/2103.07977 (2021) - 2020
- [i1]Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio, Tushar Krishna:
STONNE: A Detailed Architectural Simulator for Flexible Neural Network Accelerators. CoRR abs/2006.07137 (2020)
2010 – 2019
- 2019
- [j1]Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio
:
InsideNet: A tool for characterizing convolutional neural networks. Future Gener. Comput. Syst. 100: 298-315 (2019) - [c2]Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio
:
CNN-SIM: A Detailed Arquitectural Simulator of CNN Accelerators. Euro-Par Workshops 2019: 720-724 - 2018
- [c1]Francisco Muñoz-Martínez, Manuel E. Acacio
:
SAWS: Simple and Adaptive Warp Scheduling for Improved Performance in Throughput Processors. PDP 2018: 344-347
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