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ORCIDFrancesco Sgherzi
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2020 – today
- 2024
[c8]Lilia Zaourar
, Mohamed Benazouz, Ayoub Mouhagir, Carlos Falquez, Antoni Portero, Nam Ho, Estela Suarez, Polydoros Petrakis, Manolis Marazakis, Francesco Sgherzi, Ivan Fernandez, Romain Dolbeau, Dirk Pleiter:
Case Studies on the Impact and Challenges of Heterogeneous NUMA Architectures for HPC. ARCS 2024: 251-265- [i7]Pouya Esmaili-Dokht, Francesco Sgherzi, Valéria Soldera Girelli, Isaac Boixaderas, Mariana Carmin, Alireza Momeni, Adrià Armejach, Estanislao Mercadal, Germán Llort, Petar Radojkovic, Miquel Moretó, Judit Giménez, Xavier Martorell, Eduard Ayguadé, Jesús Labarta, Emanuele Confalonieri, Rishabh Dubey, Jason Adlard:
A Mess of Memory System Benchmarking, Simulation and Application Profiling. CoRR abs/2405.10170 (2024) - 2023
- [c7]Diego Ihara, Karine Chubarian, Bohan Fan, Francesco Sgherzi, Thiruvenkadam S. Radhakrishnan, Anastasios Sidiropoulos, Angelo Straight:
Geometric Algorithms for k-NN Poisoning. CCCG 2023: 105-112 - [c6]Diego Quattrone, Francesco Santambrogio, Andrea Scarpellini, Francesco Sgherzi, Isabella Poles, Letizia Clementi, Marco Domenico Santambrogio:
Analysis and Classification of Event-Related Potentials During Image Observation. EMBC 2023: 1-4 - [c5]Marco Siracusa, Víctor Soria Pardos, Francesco Sgherzi, Joshua Randall, Douglas J. Joseph, Miquel Moretó Planas, Adrià Armejach:
A Tensor Marshaling Unit for Sparse Tensor Algebra on General-Purpose Processors. MICRO 2023: 1332-1346 - [i6]Francesco Sgherzi, Marco Siracusa, Ivan Fernandez, Adrià Armejach, Miquel Moretó:
SpChar: Characterizing the Sparse Puzzle via Decision Trees. CoRR abs/2304.06944 (2023) - [i5]Diego Ihara Centurion, Karine Chubarian, Bohan Fan, Francesco Sgherzi, Thiruvenkadam S. Radhakrishnan, Anastasios Sidiropoulos, Angelo Straight:
Geometric Algorithms for k-NN Poisoning. CoRR abs/2306.12377 (2023) - 2022
- [c4]Francesco Sgherzi, Alberto Parravicini, Marco D. Santambrogio:
A Mixed Precision, Multi-GPU Design for Large-scale Top-K Sparse Eigenproblems. ISCAS 2022: 1259-1263 - [i4]Francesco Sgherzi, Alberto Parravicini, Marco Domenico Santambrogio:
A Mixed Precision, Multi-GPU Design for Large-scale Top-K Sparse Eigenproblems. CoRR abs/2201.07498 (2022) - 2021
- [c3]Alberto Parravicini, Francesco Sgherzi, Marco D. Santambrogio:
A reduced-precision streaming SpMV architecture for Personalized PageRank on FPGA. ASP-DAC 2021: 378-383 - [c2]Francesco Sgherzi, Alberto Parravicini, Marco Siracusa, Marco D. Santambrogio:
Solving Large Top-K Graph Eigenproblems with a Memory and Compute-optimized FPGA Design. FCCM 2021: 78-87 - [i3]Francesco Sgherzi, Alberto Parravicini, Marco Siracusa, Marco Domenico Santambrogio:
Solving Large Top-K Graph Eigenproblems with a Memory and Compute-optimized FPGA Design. CoRR abs/2103.10040 (2021) - 2020
- [c1]Bohan Fan, Diego Ihara, Neshat Mohammadi, Francesco Sgherzi, Anastasios Sidiropoulos, Mina Valizadeh:
Learning Lines with Ordinal Constraints. APPROX-RANDOM 2020: 45:1-45:15 - [i2]Diego Ihara Centurion, Bohan Fan, Francesco Sgherzi, Anastasios Sidiropoulos:
Learning Lines with Ordinal Constraints. CoRR abs/2004.13202 (2020) - [i1]Alberto Parravicini, Francesco Sgherzi, Marco D. Santambrogio:
A reduced-precision streaming SpMV architecture for Personalized PageRank on FPGA. CoRR abs/2009.10443 (2020)
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