Artikel dengan mandat akses publik - Enrico ReggianiPelajari lebih lanjut
Tidak tersedia di mana pun: 2
A scalable dataflow implementation of Curran's approximation algorithm
AM Nestorov, E Reggiani, H Palikareva, P Burovskiy, T Becker, ...
2017 IEEE international parallel and distributed processing symposium …, 2017
Mandat: European Commission
An FPGA-based acceleration methodology and performance model for iterative stencils
E Reggiani, G Natale, C Moroni, MD Santambrogio
2018 IEEE International Parallel and Distributed Processing Symposium …, 2018
Mandat: European Commission
Tersedia di suatu tempat: 6
Vitruvius+: an area-efficient RISC-V decoupled vector coprocessor for high performance computing applications
F Minervini, O Palomar, O Unsal, E Reggiani, J Quiroga, J Marimon, ...
ACM Transactions on Architecture and Code Optimization 20 (2), 1-25, 2023
Mandat: European Commission, Government of Spain
On how to improve fpga-based systems design productivity via sdaccel
G Guidi, E Reggiani, L Di Tucci, G Durelli, M Blott, MD Santambrogio
2016 IEEE international parallel and distributed processing symposium …, 2016
Mandat: European Commission
Mix-GEMM: An efficient HW-SW architecture for mixed-precision quantized deep neural networks inference on edge devices
E Reggiani, A Pappalardo, M Doblas, M Moreto, M Olivieri, OS Unsal, ...
2023 IEEE International Symposium on High-Performance Computer Architecture …, 2023
Mandat: Government of Spain
Bison-e: A lightweight and high-performance accelerator for narrow integer linear algebra computing on the edge
E Reggiani, CR Lazo, RF Bagué, A Cristal, M Olivieri, OS Unsal
Proceedings of the 27th ACM International Conference on Architectural …, 2022
Mandat: Government of Spain
Adaptable register file organization for vector processors
CR Lazo, E Reggiani, CR Morales, RF Bagué, LAV Vargas, MAR Salinas, ...
2022 IEEE International Symposium on High-Performance Computer Architecture …, 2022
Mandat: Government of Spain
Efficient hardware acceleration of deep neural networks via arithmetic complexity reduction
E Reggiani
Universitat Politècnica de Catalunya, 2023
Mandat: Government of Spain
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